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<div> With advancements in technological innovations, businesses are undergoing rapid changes with the advent of renewed opportunities. Swift mechanization is enabling a seamless operational framework with simplified solutions to aid revenue while amplifying customer satisfaction. 
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<div> Businesses need infrastructure that would make every customer seen, heard, and prioritize their needs throughout the buyers’ journey.  
Tools like live chat enable organizations to detect potential customers, organize data, engage with buyers, nurture leads and improve customer relationships.
It has been well-established that chatbots are going to define the future of customer service. As chatbot transforms itself from being mere user-based inquiries to an advanced analytical tool rendering real-time conversation and prediction, aligning businesses’ with this platform would deliver sustained customer engagement.
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<h2 class='heading2 blog-unitHeading semiBold'> Chatbots- The Doorway to Modern Connections </h2>
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<div> According to Gartner, “Artificial Intelligence (AI) will be a mainstream customer experience investment in the next couple of years”. Almost 47% of organizations will adopt chatbots for customer care and virtual assistants. These conversational bots are effective and functional virtual AI systems with the ability to drive interaction through voice and texts. 
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Chatbots are also becoming more proficient in processing diverse documents to decode unstructured data and derive better business insights. Chatbots are evolving as one of the most powerful tools for conversational service automation performing the function of virtual agents. The AI-powered technology aids the bots to decipher, extract the intent and resolve a vast number of customers’ queries.
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<div> Artificial intelligence has introduced a renewed mode of communication for buyers and businesses. These bots are flexible, enabling automation in business communications. By leveraging technologies like machine learning (ML) and Robotic Process Automation (RPA), the bots extract, interpret, and resolve queries faster than ever with minimum human intervention. 
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<img class='blog-images' src="https://amygb-web-static.s3.ap-south-1.amazonaws.com/221c6de0-cc5f-11eb-afc3-05ac885a0432_Chatbot%20Benefits.jpg"  alt=’This is my alt text' />
<h2 class='heading2 blog-unitHeading semiBold'> Automation: Revamping the ways of communication with Transformative Growth </h2>
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<div> Automation and chatbots are driving transformative growth in businesses. 
Chatbots are software programs with pre-set answers, built to simulate human conversation through the chat interface. The adoption of automation and ML facilitates these bots to complete actions through trained algorithms and pre-defined triggers. <div>
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<div> 
AI-powered chatbots combining conversational user interface, database, and application layers, are emerging as the next big thing in chatbot automation. 
On the surface, these bots leverage the benefits of rule-based bots to provide predefined answers to simulate an interactive FAQ experience. Experts formulate a decision tree with predefined rules which trigger responses. 
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<div> The intelligence facilitates a continuous learning process from each interaction and adapts itself to unique use cases. Through automation and ML, the bot trains itself to perceive specific phrases that trigger a response to tackle repetitive queries. The delivery gets better with time. 
<div/> Besides automating responses to repetitive questions, AI-powered bots are being integrated into the workforce management system. This logic enables the bots to collect data through API integration and access human agents to escalate complex queries. Leveraging the benefits of rule-based and intelligent chatbots, AI-enabled bots independently solve intellectually complex users’ queries by contextualizing the conversation with previous data, remembering the past engagement thus understanding the customers better. Proprietary technologies like NLP and ML aids to revamp traditional means of communication with more natural human-like interactions through intelligent bots. <div/>
The inherent algorithms create a unique hierarchical structure in the database which enables the bot to provide faster and accurate responses by creating patterns for each type of question. The bots’ neural network is supported by past conversational data which enables bots to generate an automated response loop. Through live interactions, the neutral networks further train the bots’ machine learning model. 
<div>The artificial neural network renders the bots more efficient and effective by contextualizing customers’ data and the expected response.  Neural networks break down the sentences into words and NLP by understanding the intent, utilize every word as neural network input. Thus, facilitating the bot to adapt and provide more accurate responses. <div/>
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<h2 class='heading2 blog-unitHeading semiBold'> The Outlook of Chatbot Automation Trend 2021
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<div> As chatbots become more intuitive, these are some of the major chatbot automation trends of 2021.
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<div> 1. Data privacy is crucial to ensure seamless bot-human interaction. Capturing only relevant data and ensuring its security through adequate measures, is the foremost strategy.
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<div> 2. Through NLP, AI-powered bots are leveraging predictive analytics and sentiment analysis. These are facilitating deeper customer insight, resolving queries in minutes by decoding the intent.
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<div> 3. The intuitive chatbot platforms are becoming increasingly interactive, gathering profound user insight. These practices are in a way, used to train the interface through sentiment analysis to perform more human-like capabilities. sentiment analysis is crucial to understand the customers’ emotions, enabling prompt human intervention for an overall delightful customer experience. <div/>
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<div> 4. Businesses are leveraging the omnichannel chatbot contact center to offer a faster resolution, streamline the experience, identifying queries and purpose,  and improving customer experience through behavioral prediction.  
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<div> 5. One of the major chatbot trends is the automated payment options through bots. Businesses are welcoming automated payments through AI-powered bots for instant results and improved customer satisfaction.
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<h2 class='heading2 blog-unitHeading semiBold'> The Major Benefits of Chatbot Automation
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<div> Chatbots are undoubtedly the most calibrated interaction framework supplementing the efforts of the human workforce.  Through AI, bots comprehend customers’ inquiries and draft suitable responses with an underlying logic. Bots also communicate with third-party API to retrieve information and provide a comprehensive solution to the queries.
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<div> With plenty of benefits, Bots are becoming integral for a successful business campaign. Here are some of the prime impetus for the development of intuitive, conversational AI-powered bots.
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<h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> 1. Enhanced Process Efficiency with Quick Turnaround: </h3>
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<div> Manual mapping of Diagnosis to corresponding ICD codes is an intensely laborious, time-consuming, and error-prone activity, mostly demanding the skill of medical practitioners. Intelligent Document Processing platforms are built to scale, capable of processing hundreds of documents at a time, thus significantly increasing process throughput. Machine learning algorithms train themselves by creating patterns from data, to ensure minimized risk of error. Besides, it can free up significant skilled resources to focus on core business activities or tasks requiring the skill of qualified manpower. <div/>
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<h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> - Customer Support Beyond Work Hours: </h3>
<div> Bots provide prompt resolutions to customers’ queries 24/7, working beyond defined work hours. With deep learning, the next-gen bots can learn in the background while addressing queries.
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 <h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'>- Handling Countless Queries to Maintain TAT :
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<div> AI-powered bots are built to handle countless queries. Gone are those days when volume surge affected the TAT promise. With the inception of next-gen bots, multiple queries can be addressed simultaneously, with reduced waiting time and human-prone errors.
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 <h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> - AI-enabled Self Learning Capabilities:</h3>

<div> With the advancement in ML, the bots are infused with self-learning capabilities that enable bots to improve their performance and knowledge based on live interactions, thus providing improved accuracy with time.
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<h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> - Minimum Human Intervention: </h3>
<div> The deep network models are capable of self-learning their algorithms, thus becoming more proficient in handling intellectually complex issues. By adapting based on customers’ answers, reactions, the bots adapt and continue to improve their accuracy resulting in minimum human intervention. <div/>
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<h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> - Guaranteed Consistency without Errors: </h3>
<div> Often due to volume spikes, negligence can lead to grave human-prone errors. The intelligent bots make no room for such errors as providing wrong information or tagging inaccurately. They are built to scale by feeding critical information which ensures guaranteed accuracy. 
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<h2 class='heading2 blog-unitHeading semiBold'> Understand Customers' Need with Chatbot Automation
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<div> Chatbots are instrumental in gathering and analyzing customer data. It boosts customer loyalty while automating routine work. AI-powered chatbots transform the customer experience and the contact center by augmenting conversational experience, empower users to close and open loops. Chatbots are emerging as the most innovative innovations performing the role of the virtual assistant, significantly impacting customers’ journey. In the coming day, automation in chatbots will further strengthen its operations, enabling further innovations while bot implementation.<div/>
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<div>
Innovation and AmyGB.ai go hand in hand. Our intuitive AI-powered, chatbot platform Assisted Closure leverages proprietary technologies like Intelligent Document Processing, Machine Learning, and Natural Language Processing that integrate seamlessly with the workforce interface. Features like omnichannel messaging support, sentiment analysis deliver accurate automated responses that transform traditional business communications. It is built to understand conversation context, rendering an enhanced customer experience with an accurate response every single time. <div/>
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With more and more businesses adopting AI-powered chatbots, the ways of interaction are revamping rapidly. Here is the update on the next big things in terms of chatbot automation.

The Next Big Thing in ChatBot Automation

<div class='blog-desc desc'>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>What is IDP?</h2>
        <br />
        <div>Intelligent Document Processing(IDP) is a solution that converts messy, unstructured and semi-structured data into a usable, structured format. The initial data set can be on offline documents like scanned forms and bills, or online documents like emails, PDF documents or images.</div>
        <br />
        <div>In simpler words, IDP solutions extract data from documents (PDFs, scans, emails, etc.) and convert them into usable text-based digitized data that is ready for processing.</div>
        <br />
        <div>Consider a bank, for example, that receives hundreds of different documents a day, from multiple sources like fax, post, and email, and in multiple formats like PDFs, forms, and images. These documents have to be categorized based on type (new account applications, insurance claims, credit card applications, identity proofs, etc.) and the data has to be manually extracted, processed, filled, and sent to the next step in the workflow. Current manual data entry processes are laborious, time-consuming, and highly error-prone. IDP integrates right from the start of the data lifecycle to the end taking over all manual operations. A good IDP solution should be capable of automatically categorizing documents, extracting, validating, and grouping data, and automating its flow to the right workstream.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Why Is IDP A Rapidly Growing Market?</h2>
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        <div>According to an article by Automation Anywhere, 80% of business data is 'dark' - it is trapped within emails, documents, images, and hard copies, making it difficult to  extract meaningful, actionable insights that can help businesses understand their customers and drive informed, data driven decisions.</div>
        <br />
        <div>The fact that data is critical for business decisions is not news, and businesses need a way of extracting and optimally using all their 'dark' data. This is exactly what IDP solutions do - classify, categorize, extract, and validate unstructured and semi-structured data to provide usable digital information.</div>
        <br />
        <div>The most important aspect - an IDP solution performs these operations without the need for any manual intervention. This becomes a pivotal feature when data from offline sources, like an insurance claim form filled in by hand, has to be extracted and documented. Normally, it would require a human resource to manually convert this data into online data and prepare it for processing. IDP solutions use technology like Natural Language Processing (NLP), Deep Learning, Machine Learning (ML), Optical Character Recognition (OCR), and Computer Vision to automate the process of data extraction from offline documents.</div>
        <br />
        <div>Data extraction is just one step in the process. Having explained what IDP does, let us understand the processes involved in each stage of data manipulation.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>How does Intelligent Document Processing Work?</h2>
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        <div>Intelligent Document Processing follows a set of steps to convert unstructured and semi-structured data into structured information. Each of these steps involves different technologies - machine learning, natural language processing, computer vision, RegEx, RPA, etc. So IDP is not a singular technology per se, but a solution that comprises individual technologies</div>
        <br />
        <div>While these steps could vary depending on the solution and provider, they generally are -</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>1 Capture</h3>
        <br />
        <div>The first step in intelligent data processing is setting up different capture points. Data might be processed via hardware like scanners or might be present digitally as PDFs. In both cases, the IDP solution must be integrated and ready to capture data from documents, files or e-mails. It achieves this in two ways:</div>
        <br />
        <div>The IDP solution integrates with document processing hardware like scanners and uses tech like OCR to scan and extract data from paper documents.</div>
        <br />
        <div>It is also capable of ingesting online documents like word, PFD or excel files and extracting data.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>2 Pre-Processing</h3>
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        <div>At every point in the data capture process, the IDP solution pre-processes the document to improve its quality. This ensures that data extracted through OCR is accurate.</div>
        <br />
        <div>This step involves processes like Binarization (transforming data features into vectors of binary numbers), Noise Reduction (eliminating scribbles, marks), De-skewing (straightening scanned images), etc.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>3 Classification</h3>
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        <div>Documents being processed can be of multiple formats. Classifying, or grouping these documents helps improve the extraction and archiving processes.</div>
        <br />
        <div>By classifying data, the IDP solution can ensure that the right extraction technology is being used for the particular document format, and also that the data is being routed to the right workflow (depending on the nature of the document).</div>
        <br />
        <div>IDP uses trained ML and AI-based classification engines to automatically classify documents into different categories by analyzing their content and structure.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>4 Data Extraction</h3>
        <br />
        <div>This step uses trained AI algorithms to extract data from documents. Computer vision technology like OCR is capable of extracting text from scanned documents and images, and NLP can identify hand-written data for accuracy.</div>
        <br />
        <div>This step not only extracts data but also defines the type of data being extracted - numbers, dates, names, etc. The level of accuracy depends on the level of training the AI algorithm has gone through.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>5 Post Processing - Data Validation</h3>
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        <div>Once data is extracted, it goes through a series of post-processing steps to validate its quality and accuracy. Data is validated through pre-defined logical algorithms and external databases. RPA is used to further enhance the level of validation and automatically pass data into relevant workstreams (claims data extracted from a user form can be automatically filled into a claims document and assigned to the claims department).</div>
        <br />
        <div>Any data that is flagged as inaccurate during the validation stage can be reviewed by a human, and all extracted data can also be verified by them to check for discrepancies. This process helps the AI algorithm learn and improve for future iterations.</div>
        <br />
        <br />
        <h2 class='heading2 blog-unitHeading semiBold '>IDP is More Than Just Data Capture</h2>
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        <div>Data capture technology, like OCR, has been prevalent for quite some time. Coupled with RPA bots, OCR can greatly reduce manpower and time by eliminating the need for manual conversion of data in offline sources into digital format.</div>
        <br />
        <div>Although often confused to be the same, OCR and IDP are different in what they achieve. OCR is a data capture technology - technology that extracts data from documents and presents it in textual form, and that’s it.</div>
        <br />
        <div>IDP, as is evident by the flow seen in the previous section, is more than just data capture. It also handles pre and post data extraction processes that make it a complete automation solution. In fact, OCR is a part of the entire IDP process. IDP solutions improve the quality of documents before extracting data and also validate extracted data to improve the accuracy of the result.</div>
        <br />
        <div>IDP solutions are, in layman's terms, an evolutionary form of data capture solutions.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>IDP Use Cases</h2>
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        <div>The following use cases give a sense of how efficient IDP solutions are.</div>
        <br />
        <div>IDP for automation of cash management logistics - For banks, replenishing cash in ATMs is a resource intensive job. Traditionally, a field agent visits the ATM, clicks photos of slips with data logs, and another agent at the back office manually enters and processes this data. This manual data processing operation occurs for every ATM owned by the bank. With IDP, the task of processing data from these slips is completely automated. An IDP solution scans these slips, reduces noise, extracts data, validates it, and exports it to businesses processes that need this data. The IDP solution promises over 90% accuracy of extracted data and a manpower reduction of over 70%.</div>
        <br />
        <div>A U.S. Government body spent 5 years to integrate data from an archived data source using traditional data capture only to achieve subpar results. Using IDP, they were later able to integrate data from more than 50 million pages of records in under two years.</div>
        <br />
        <div>(Alternate for 4) An invoicing subsidiary of a Japanese multinational conglomerate implemented IDP and RPA to automate invoicing processes. The company processes over 80,000 invoices every year received from more than 1,000 vendors and in 20 different languages. IDP was set up to improve their procure-to-pay process, and they experienced a 100% reduction in errors ten months post-implementation.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Benefits of Intelligent Document Processing</h2>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Drastic reduction in data processing time</h3>
        <br />
        <div>The most obvious benefit of implementing IDP is the reduction in execution time. Traditionally businesses require a resource to manually review documents, extract data, and then process it. With automation, the entire process is completed in seconds with multiple documents being concurrently processed.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Reduction in operational costs</h3>
        <br />
        <div>Businesses experience a reduction in operational costs because of the speed at which data is processed and made available for consumption. The manual intervention needed is little to none which means teams can work with a lean workforce, which is again a drop in operational costs.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Eliminates human-prone errors</h3>
        <br />
        <div>IDP eliminates the need for manual work, completely eliminating human-prone errors. For businesses this results in increased quality and reliability of processed data.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> IDP is scalable</h3>
        <br />
        <div>IDP is not process or department specific. The solution can be extended across all departments and workflows that involve data extraction and processing. As an integrated solution, any team within the organization can process documents using IDP making it easily scalable.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Compatible with everyday technology</h3>
        <br />
        <div>A business looking to implement IDP does not need to procure new hardware or software. IDP solutions integrate with existing devices like printers and scanners, applications, and process all formats of documents. The ability to integrate with the existing framework contribute in making the implementation process effortless. </div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>How Can You Get Started?</h2>
        <br />
        <div>It is quite evident that businesses that rely on data can greatly improve processes by implementing an IDP solution. More specifically, businesses that deal with data that flows in from multiple channels and need to process this data for subsequent workflows to begin can greatly reduce time, errors and effort through IDP. Businesses like banking and finance, healthcare, legal, and accounting are examples.</div>
        <br />
        <div>The best way to identify if IDP is a viable solution is to test it. Demo AmyGB's IDP solution for free and run use cases to analyze its impact on day-to-day operations.</div>
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      </div>

Get in touch with IDP experts to get a personalized solution

Intelligent Document Processing(IDP) is a solution that converts messy, unstructured and semi-structured data into a usable, structured format. The initial data set can be on offline documents like scanned forms and bills, or online documents like emails, PDF documents or images.

Intelligent Document Processing - What It Is and What It Offers Businesses

<div class='blog-desc desc'>
        <br />
        <div>The traditional Optical Character Recognition (OCR) technology had left a lot desired to make it ideal for large-scale implementation. In recent years, IDP has managed to fill the void left by traditional OCR software by offering artificial intelligence (AI) and machine learning (ML)-driven solutions that are gaining popularity with every passing day.</div>
        <br />
        <div>With IDP, you can convert physical documents into editable digital formats within no time and with high accuracy levels. Whether the physical documents are digitally typed and printed or handwritten, IDP offers the expertise to convert them all. Today, let us look at some of the Intelligent Document Processing benefits and offer some tips to help you choose the right solution for your business.</div>
        <br />
        <div>There are numerous service providers offering IDP solutions today. While the core concept is leveraging AI and ML technologies to make physical document processing simpler, the service is known by different names. The essence is using modern technologies to achieve a high level of accuracy while converting physical documents to editable digital versions.</div>
        <br />
        <div>An Intelligent Document Processing software extracts data from documents and feeds it in a structured and simple manner into an online system that helps process the data. One of the primary Intelligent Document Processing benefits is the ability to automate the entire process and minimize human intervention and errors. There are various types of IDP solutions available today. Here is a quick look at them.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Types Of Intelligent Document Processing Solutions</h2>
        <br />
        <div>IDP software uses innovative technology to solve data extraction challenges. These applications can have different approaches that lead to different types of intelligent document processing applications. Here are some common types of solutions available in the market:</div>
        <br />
        <div class='blog-tabList'>
          <div class='blog-uli'> Innovative solutions</div>
          <div class='blog-uli'> Legacy solutions</div>
          <div class='blog-uli'> Niche solutions</div>
          <div class='blog-uli'> System Integrators</div>
          <div class='blog-uli'> Technology Providers</div>
        </div>
        <br />
        <div>Let’s take a quick look at each of them:</div>
        <br />
        <h3 class='subHeading2 semiBold blog-darkHeading'>Innovative Intelligent Document Processing Solutions</h3>
        <br />
        <div>AI and ML technologies provide an endless enigma of possibilities. While automation has made life easier, it has its own set of challenges. While some challenges are managed by tweaking the existing systems, the demanding ones require innovation and the use of the latest technologies. This can be applied to document processing too. Most organizations have simple requirements from the solution that manages its document processing needs. However, there are some complex requirements that need an innovative approach and the power of AI, ML, NLP, and other newer technologies.</div>
        <br />
        <div>Innovative IDP solution providers approach document processing with a keen eye on the future and allow you to build processes and systems that are sustainable and efficient. If innovation is your need, then choose an innovative partner and use the intelligent document processing benefits to your advantage.</div>
        <br />
        <div>Some examples of leading Innovative IDP vendors include:</div>
        <div class='blog-tabList'>
          <div class='blog-li'>1 Hyperscience</div>
          <div class='blog-li'>2 Rossum</div>
          <div class='blog-li'>3 Infrrd</div>
          <div class='blog-li'>4 AmyGB</div>
          <div class='blog-li'>5 Datamatics</div>
        </div>
        <br />
        <h3 class='subHeading2 semiBold blog-darkHeading'>Legacy Intelligent Document Processing Solutions</h3>
        <br />
        <div>Some legacy OCR or RPA (Robotic Process Automation) providers may add AI or ML into their legacy platforms to offer IDP solutions. Hence,, the focus of these legacy platforms is not IDP but a gamut of automation services. Many organizations opt for Legacy IDP solutions to either save costs or have a comprehensive tool for their automation needs. These solutions usually work well for organizations that have large volumes of easy-to-convert documents without variations. However, it is important to remember that these solutions can have limitations. Hence, it is important to assess if the solutions offered by the existing vendor meet your requirements. If your document automation challenges are not met, then you might want to consider moving to a different type of intelligent data processing tool.</div>
        <br />
        <div>Some examples of leading Innovative IDP vendors include:</div>
        <div class='blog-tabList'>
          <div class='blog-li'>1 ABBYY</div>
          <div class='blog-li'>2 AntWorks</div>
          <div class='blog-li'>3 Automation Anywhere</div>
          <div class='blog-li'>4 UI Path</div>
          <div class='blog-li'>5 Kofax</div>
        </div>
        <br />
        <h3 class='subHeading2 semiBold blog-darkHeading'>Niche Intelligent Document Processing Solutions</h3>
        <br />
        <div>‘Niche’ is a specialized segment of the market. In the age of super-specialization, every product and service is available in generic as well as niche variants. For example, shirt manufacturers would make average-sized shirts in the past but now there are different fits for different body-types. In fact, many of us are accustomed to using tailored products/services. IDP is no different. There are many companies that offer intelligent document processing solutions targeted towards a specific market or a specific use case. If your organization has bespoke document processing requirements, then look for such niche IDP solutions</div>
        <br />
        <div>Some examples of leading Niche IDP vendors include:</div>
        <div class='blog-tabList'>
          <div class='blog-li'>1 Capsys</div>
          <div class='blog-li'>2 Evolution AI</div>
          <div class='blog-li'>3 Ikarus</div>
          <div class='blog-li'>4 Instabase</div>
          <div class='blog-li'>5 Mitek</div>
        </div>
        <br />
        <h3 class='subHeading2 semiBold blog-darkHeading'>System Integrators with IDP</h3>
        <br />
        <div>System Integration companies like Accenture, Deloitte, KPMG, etc. work towards integrating all the processes, applications, and software into a single consolidated environment. In recent years, with an increase in demand for AI-driven OCR or IDP solutions, many system integrators have started offering IDP services as a part of the set of solutions offered. Some system integrators develop IDP solutions in-house while most others have an intelligent document processing partner. Most companies in the system integration space are large and responsible companies that endeavour to offer efficient solutions to organizations. However, since IDP is only a part of the package, it might lack the specificity required by your documents. Ensure that you understand the features and benefits of intelligent document processing offered by such providers carefully.</div>
        <br />
        <div>Some examples of system integrators that provide IDP capabilities include:</div>
        <div class='blog-tabList'>
          <div class='blog-li'>1 Accenture</div>
          <div class='blog-li'>2 Deloitte</div>
          <div class='blog-li'>3 EY</div>
          <div class='blog-li'>4 KPMG</div>
          <div class='blog-li'>5 PWC</div>
        </div>
        <br />
        <h3 class='subHeading2 semiBold blog-darkHeading'>IDP Technology Providers</h3>
        <br />
        <div>If you are technologically savvy or run an organization that has technical experts, then you can use third party technology software components like computer vision, OCR, etc., and develop IDP capabilities in-house. These are not full fledged IDP solutions, however, organisations having fairly simple document processes may prefer to develop these capabilities internally using third party software. However, it can be a time and cost consuming process and would require a dedicated team of IT professionals managing it at all times, besides spending a lot of time, resources and cost in developing an in depth know how. If you are an organisation that requires quick and accurate implementation, it might be a good idea to turn to dedicated IDP players that have gained in depth knowledge and experience with several implementations in their basket.</div>
        <br />
        <div>Examples of third party technology providers include:</div>
        <div class='blog-tabList'>
          <div class='blog-li'>1 Amazon Textract</div>
          <div class='blog-li'>2 Google Cloud Vision</div>
          <div class='blog-li'>3 Microsoft Azure Computer Vision</div>
        </div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>How To Choose The Best Intelligent Document Processing Software and Platform?</h2>
        <br />
        <div>Before you start looking for an IDP solution, remember that it is much more than a modern version of an OCR. It is a tool driven by artificial intelligence, machine learning, and neuro-linguistic programming (NLP) that can transform your business and boost the efficiency of processes.</div>
        <br />
        <div>You can use the following steps to find a document processing solution that is best-suitable for your organisation.</div>
        <br />
        <div>The best way to find the ideal IDP solution is to select the type of document which comprises more than 50% volume of your raw data.</div>
        <br />
        <div class='blog-uli'> Identify the  document types that comprise more than 50% of your monthly  volume.</div>
        <br />
        <div class='blog-uli'> Then look for vendors whose solutions can effectively process your high volume.</div>
        <br />
        <div class='blog-uli'> You might want to take into consideration quality variances in documents, and the contribution of poor quality, illegible documents to your database before finalising an IDP solution. A good IDP vendor should be able to process documents of varied quality, unless illegible even to the human eye.</div>
        <br />
        <div class='blog-uli'> You could check for customisation options that could further improve results. This might require the expertise of a niche, innovation based IDP vendor.</div>
        <br />
        <div>A solution that can manage these cases with ease will be able to manage most of your document processing requirements too. Once you know the type of IDP solution you need, select the best vendor based on the following four pillars:</div>
        <br />
        <div class='blog-tabList'>
          <div class='blog-li'>1 The core capabilities of the solution offered by the vendor. While it is relatively simpler to measure the success of an IDP solution on the basis of accuracy, it is equally important to choose a solution that is able to effectively flag a document or field that it cannot read, and pass it for human intervention. This substantially reduces the load for the human quality check process, and allows humans to intervene only when and where required.</div>
          <br />
          <div class='blog-li'>2 The vendor must have a technology ecosystem to allow you to realize the full potential of intelligent automation.</div>
          <br />
          <div class='blog-li'>3 The intelligent document processing market is in its nascent stages. Hence, look for a vendor that offers training courses that are ideally self-paced with sufficient material allowing your employees to get a grip over the technology. Also, make sure that the vendor has a good track record of offering robust product support and maintenance for a smooth experience.</div>
          <br />
          <div class='blog-li'>4 The fourth and essential aspect is the price. There are different pricing models available. The pricing models can be as follows:</div>
          <br />
          <div class='blog-tabList'>
            <div class='blog-uli'> Some vendors offer a fixed-price solution where you can process as many documents you like from one machine for a fixed fee.</div>
            <br />
            <div class='blog-uli'> You can also find a pricing model based on the volume and complexity of documents.</div>
            <br />
            <div class='blog-uli'> Some vendors offer pricing plans that are based on the accuracy of the output.</div>
            <br />
          </div>
        </div>
        <div>Before you start looking, ensure that you assess the document processing requirements of your business and research the market thoroughly. The factors mentioned above can help you narrow down to the best IDP solution for your business.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Summing Up</h2>
        <br />
        <div>Remember, the future belongs to businesses that can leverage artificial intelligence, machine learning, NLP, etc. to make processes more efficient and error-free. When you are looking for an Intelligent Document Processing Solution, ensure that you consider your current and future requirements.However, it is also important to note that there is no magic when it comes to AI based automation software. For better results and to achieve best in class accuracy, it is important to understand that even the best Machine Learning algorithms require training specific to your data and business requirements. Intelligent Automation is effective if understood and used wisely. Get a grip over this new technology and use it to your benefit.</div>
        <br />
      </div>

In recent years, IDP has managed to fill the void left by traditional OCR software by offering artificial intelligence (AI) and machine learning (ML)-driven solutions that are gaining popularity with every passing day.

Choosing the right Intelligent Document Processing (IDP) Solution

<div class='blog-desc desc'>
        <br />
        <div>Communication is the key to sustain relationships and develop better possibilities. As the era progressed, with technological innovations and globalization, vast possibilities opened in the front of trade. With increased competition amongst enterprises, customer support gained centrality for the holistic growth of any company. It is the pillar of customer relationship management. Failure in customer retention is a huge drawback for companies as great customer experience is a major competitive advantage that drives sales. 45% of companies regard experience management as their number one priority.</div>
        <br />
        <div>Proper utilization of customer data helps companies provide quicker and more personalised support to their customers. After all, happy customers are what contributes to enterprises’ good reputation.</div>
        <br />
        <div>This article seeks to enlighten the broadened possibilities of adopting email automation to significantly enhance customer satisfaction with reduced turnaround time in the insurance industry which deals with sensitive information.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>The traditional methods of email response in an insurance company</h2>
        <br />
        <div>An insurance company gets a vast number of emails within and beyond its operational hours. Since insurance is an avenue to protect from emergencies, urgent requests can pour in at  any given point of time across the year. AmyGB.ai's deployment data suggests that approximately 50-75% of customer e-mails typically revolve around queries for insurance soft copy, renewal of policies, endorsement requests, claim settlement and claim status requests.  As of today, a typical email response management process involves hundreds of e-mails pouring into a ticketing desk, which allots emails to agents either on a round robin basis, or based on specific skill sets. Agents are expected to read the contents of the email, tag the email into a predefined business category, fetch information from the CRM or backend databases and appropriately respond to the customer’s request. However, this manual process visibly involves the following difficulties:</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>1 High Turnaround Time</h3>
        <br />
        <div>Agents are often immersed in a backlog of unresponded emails. Also, manually reading, tagging, searching and responding to support requests is hugely time consuming, resulting in obnoxiously high resolution times. While most organisations promise their customers a response time of 24-48 hrs, our data suggests that in more than 35% of cases, this timeline is breached, resulting in unhappy, angry and irate customers.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>2 Operational Inefficiency</h3>
        <br />
        <div>As businesses expand, huge volumes of emails flood their email desks with an overwhelmed set of agents working relentlessly trying to cater to the volume surges, thus negatively impacting response time or quality.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>3 Volume Surge</h3>
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        <div>Seasonal Businesses such as Insurance typically go through peaks and dips in demand, thus creating operational havoc for Customer Support leaders.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>4 Human Error</h3>
        <br />
        <div>The quality and consistency of customer communication largely depends on the training and varied skill sets of manual agents. This not only gives way to more errors, but also impacts uniformity in communication.</div>
        <br />
        <div>Manually responding to routine email inquiries can adversely affect a company’s resources by marginalizing complicated issues. The arrival of artificial intelligence can aid agents with custom responses to cut through huge volumes of support emails. Until recently, using AI based automation posed the following challenges:</div>
        <br />
        <div class='blog-tabList'>
          <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Limited understanding of text</h3>
          <br />
          <div>For long, understanding of large, unstructured pieces of text posed a big problem area for automation, with accuracy dipping below 50%.</div>
          <br />
          <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Lack of schema or structure</h3>
          <br />
          <div>Emails are considered the most unstructured form of communication due to the sheer variance in style, nature and quality of communication, with little control over communication type, unlike in chatbots.</div>
          <br />
          <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Operational errors</h3>
          <br />
          <div>Anyone who understands AI, would know that the output gets as good as the data used for training. Unfortunately, due to tagging errors made by manual agents (which goes as high as 40% in incorrect tagging of emails), poor data quality led to poor accuracy.</div>
          <br />
          <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Legacy Systems</h3>
          <br />
          <div>Integrations with legacy systems created a bottleneck for implementation of third party AI software.</div>
          <br />
          <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Data Security</h3>
          <br />
          <div>Many insurance companies are sensitive about data security and privacy policy, and express discomfort over sharing email data to third parties for training.</div>
        </div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Introducing MailERA®- A comprehensive, end-to-end email automation platform</h2>
        <br />
        <div>AmyGB, with its team of expert data scientists, has successfully developed and deployed a unique, self-learning end-to-end email automation tool that works out of the box to provide value from day one.  MailERA® is capable of reading emails using Natural Language Processing, identifying the intent using Deep Learning and pattern recognition models, automatically tagging the emails, extracting relevant information from the mail body, fetching data from the CRM and sending auto-responses to resolve customer queries instantly. What makes MailERA even more delightful to data sensitive companies is that our out of the box model requires minimal training and has self learning capabilities that allow organisations to train the algorithms by themselves, using a very simple interface.</div>
        <br />
        <div>MailERA® has acquired its domain expertise in the insurance sector by virtue of having deciphered complex unstructured data of leading insurance giants like Reliance General Insurance and Bharti Axa. The problems of manual working, human error, subjectivity, and time need a trailblazer technology that understands unstructured text with high accuracy, fast turnaround time with minimum training effort with limited data requirement.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Automation and its benefits</h2>
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        <div>Automation ensures more error-free data entering the system, and hence a significant reduction in customer complaints regarding claim status, soft copy requests, renewal requests and endorsements status, and changes.</div>
        <br />
        <div >Automation ensures more error-free data entering the system, and hence a significant reduction in customer complaints regarding claim status, soft copy requests, renewal requests and endorsements status, and changes.</div>
        <br />
        <a class='blog-link' href='https://amygb.ai/blog/customer-excellence-use-cases-with-intelligent-email-automation-in-the-insurance-industry/'>Read our blog on Insurance Customer Support Use cases solved by Intelligent Automation</a>
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        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Advantages of MailERA® driven automation</h2>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>1 Out of the box, self learning model</h3>
        <br />
        <div>As explained above, MailERA differs from other automation software as it requires minimal training data and comes with a unique, first of its kind self learning interface that allows users to self train the algorithms to provide instant value from day one.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>2 Turn around time</h3>
        <br />
        <div>MailERA has proven to reduce customer response time by more than 98%, providing near instant responses to a set of very happy customers.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>3 Productivity</h3>
        <br />
        <div>AmyGB’s customers have shown to increase their team’s productivity by more than 300%, with the automation software being able to handle enormous volume surges without the need to ramp up their teams.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>4 Cost Efficiency</h3>
        <br />
        <div>Our customers have achieved a near 70% reduction in cost by re-deploying human agents to more productive tasks that appreciate their skill sets.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>5 Minimised Errors</h3>
        <br />
        <div>MailERA has successfully achieved a beyond 98% accuracy in email categorisation, surpassing human accuracy by more than 40%.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>6 Customer Satisfaction</h3>
        <br />
        <div>AmyGB’s MailERA has helped double the Customer Satisfaction (C-SAT) scores by 2x, with an increased number of happy and loyal customers, overjoyed with the speed, efficiency and dependability of responses.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>7 Document Processing & Fraud Detection</h3>
        <br />
        <div>MailERA is equipped with the Computer Vision capabilities of our IDP product “VisionERA”, which extracts data from attached documents and processes the information for insights or entry into the database. The tool also helps minimise risk of fraud by validating the authenticity of the documents and triangulating data with other sources to identify and flag possible fraudulent transactions.</div>
        <br />
        <a class='blog-link' href='https://www.amygb.ai/success-stories/'>Read about our customer success stories on how implementation of MailERA has helped improve customer experience for Insurance giants</a>
        <br />
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Choose MailERA® for an enthralling automotion experience </h2>
        <br />
        <div>MailERA®’s superior machine learning capabilities is adding profound value to the Insurance sector’s customer experience by doing away with dependence on manpower for repetitive tasks, especially during such times of limited workforce availability (<a class='blog-link' href='https://www.amygb.ai/success-stories/how-reliance-general-insurance-increased-their-productivity-by-300-percent/'>Read how Reliance General Insurance continued to provide assistance to its customers with the same spirit of speed and reliability even during the COVID-19 induced Pandemic</a>). It is no wonder that CX leaders all over the world are resorting to automation solutions encompassing AI to minimise risk of errors and providing a more enthralling support experience to their esteemed customers, whose satisfaction and loyalty forms the backbone of any organisation.</div>
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        <br />

      </div>

Talk to our automation experts now, and book your free demo slot

This article seeks to enlighten the broadened possibilities of adopting email automation to significantly enhance customer satisfaction with reduced turnaround time in the insurance industry which deals with sensitive information.

Out of the Box Email Automation solutions for Insurance companies

<div class='blog-desc desc'>
<div> ICD, the International Code of Disease, is a universal code for disease to maintain a repository of patient data for faster and effective treatment and decision-making process. 
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<br/>
<div> ICD coding and its efficiency have been acclaimed as performing a crucial function. It determines not only the clinical decisions by healthcare providers but also bears the financial decisions of insurance agencies.  
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There are multiple benefits of healthcare ecosystems with advanced coding quality. These benefits ensure an accurate categorization and the subsequent retrieval of medical records. It facilitates better predictability and optimizes costs incurred by erroneous coding.
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ICD coding is typically executed by a professional coder who adheres to strict guidelines, analyses the doctor’s diagnosis and the patient’s EMR, and selects the precise codes on this basis. However, this coding process is prone to several errors primarily due to the complexity of the entire process.  </div>
<div> To solve this industry-wide problem with ICD coding, AmyGB has built a deep learning Intelligent Document Processing model that automatically translates doctors’ diagnoses into the correct corresponding ICD codes.

 </div>
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<h2 class='heading2 blog-unitHeading semiBold'>ICD Code Mapping Through Accurate Automation </h2>
     
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<div> AI-powered IDP platforms mitigate the risk of mismatched ICD codes and ambiguously written diagnoses to facilitate the accessibility of data for accurate coding based on individual diagnoses to avoid overlapping of ICD codes.  </div>
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<div> An example of automated ICD coding using IDP <div/>
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<img class='blog-images' src="https://amygb-web-static.s3.ap-south-1.amazonaws.com/32b7f140-ba14-11eb-a8e2-f5940519a351_ICD-Infographic.jpg"  alt=’This is my alt text' />

<h2 class='heading2 blog-unitHeading semiBold'>Benefits of using IDP for automated ICD coding
</h2>
<br/>
<h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> 1. Enhanced Process Efficiency with Quick Turnaround: </h3>
<br/>
<div> Manual mapping of Diagnosis to corresponding ICD codes is an intensely laborious, time-consuming, and error-prone activity, mostly demanding the skill of medical practitioners. Intelligent Document Processing platforms are built to scale, capable of processing hundreds of documents at a time, thus significantly increasing process throughput. Machine learning algorithms train themselves by creating patterns from data, to ensure minimized risk of error. Besides, it can free up significant skilled resources to focus on core business activities or tasks requiring the skill of qualified manpower. <div/>
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<h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> 2. Reduced Ambiguity Through Top-notch Data Capture: </h3>

<div> Many diagnoses fail to match an ICD code with precision due to the high usage of abbreviations by doctors in diagnosis leading to ambiguity and erroneous matching.  Usage of Deep Technology such as Machine Learning and Natural Language Processing in IDP platforms assist the OCR tools to distinguish the different types of ICD definitions and written diagnoses, remove the ambiguity and classify health statuses according to specific rules and distinct character codes to capture hidden semantic information accurately.
Through superior auto-correction and image enhancement, VisionERA eliminates obscurity in the documents leading to 20% higher accuracy than manual operation.
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Through superior auto-correction and image enhancement, VisionERA eliminates obscurity in the documents leading to 20% higher accuracy than manual operation.
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 <h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> 3. Precise Data Extraction for Unique ICD Code Combination:
</h3>

<div> Often, two linked diagnoses with strong resemblance get encoded in a single combination ICD code. VisionERA’s data extraction process harnesses OCR with NLP technology to obtain and analyze distinct information from the discharge summaries with a strong resemblance to others.
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The prior classification and image enhancement using ML algorithms lead to enhanced accuracy as the deep technology locates the precise distinction between linked documents. Thus, it facilitates unique ICD code mapping without fallacious similarities.  
 <div/>
<br/>

 <h3 class='subHeading2 semiBold blog-darkHeading headingLineHeight'> 4. Data Validation to Determine Proper Diagnosis </h3>

<div> Doctors often register one diagnosis for a disease that should correspond to multiple ICD codes. Often, medical practitioners lack training in professional coding which leads to such limitations. Intelligent Automation not only reduces 60% dependency on manpower but also validates to render accurate ICD code mapping.  The simulation of human-like understanding transforms human language into machine ciphers which aid the algorithms to critically validate the data derived. With a constant human loop on the go, it provides only the correct ICD codes and maps them to the precise diagnosis, and flags mismatched data for human intervention. <div/>
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<h2 class='heading2 blog-unitHeading semiBold'> Synopsis: Unique Human-Machine Interface for Automated ICD Code Mapping
</h2>
        <br/>
<div> ICD codes promote quality clinical decisions and better communication streamlining the process of claim automation. The application of ICD has broadened to multiple facets of the healthcare ecosystem such as administrative management, insurance payment, research, and innovation. ICD coding can facilitate better research prospects with other healthcare institutions. This can eventually promote quality clinical decisions, better communication, and reduce processing costs. <div/>
IDP ensures accurate mapping of coding processes mitigating the chances of error and ambiguity, while significantly increasing throughput. AmyGB.ai’s innovative IDP platform demonstrates the practical viability of automatic ICD coding based on healthcare experts' diagnostic tests while aiding them to avoid ICD coding discrepancies. The simplified out-of-the-box pre-trained product modules facilitate effective automation aiding ICD code mapping from physical and digital documents sans errors.
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Looking for a solution to automate your healthcare or medical document process? Talk to our experts now! 



The universality of ICD code makes the automation process more critical since the discharge summaries are highly ambiguous and lack proper structure. IDP uses AI & Deep Technology to automate ICD coding for faster and error-free coding.

Use of AI & IDP in ICD Code Automation from Discharge Summaries

<div class='blog-desc desc'>
        <br />
        <div>Intelligent Document Processing or IDP is a technology that can help automate the process of extracting data from physical documents. These can be digitally typed and printed documents or even complex handwritten ones. While such processes were handled by human beings, businesses had to factor in a lot of cost and time to get these projects done. Of the various intelligent document processing platform benefits, the primary one is offering an opportunity to B2B businesses to create a new value proposition and drive business outcomes that are disruptive and transformative. So, what are the top benefits of intelligent document processing? And how can it revolutionize your businesses?</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Intelligent Document Processing platform benefits</h2>
        <br />
        <div>Most businesses face a lot of pressure to reduce costs, comply with regulations, and satisfy the ever-growing needs of their customers. Hence, the reliance on unstructured information like images and documents has been on a steady rise. Further, most businesses are turning to Big Data for better insights into their processes and customers making the need to accurately capture data more critical. Most businesses can leverage the following benefits of intelligent document processing platform to design more efficient processes:</div>
        <br />
        <div>Consider a bank, for example, that receives hundreds of different documents a day, from multiple sources like fax, post, and email and in multiple formats like PDFs, forms, and images. These documents have to be categorized based on type (new account applications, insurance claims, credit card applications, identity proofs, etc.) and the data has to be manually extracted, processed, filled and sent to the next step in the workflow. Current manual data entry processes are laborious, time-consuming and highly error prone. IDP integrates right from the start of the data lifecycle to the end taking over all manual operations. A good IDP solution should be capable of automatically categorizing documents, extracting, validating and grouping data, and automating its flow to the right workstream.</div>
        <br />
        <div class='blog-tabList'>
          <div class='blog-uli'> Boost the efficiency of the existing processes by reducing human intervention in a document-related process. Automation ensures that the overall efficiency of the process improves.</div>
          <br />
          <div class='blog-uli'> Helps save time and costs. Traditional, manually driven processes to convert physical documents into editable digital data is a time and cost-consuming process. With IDP, businesses can use automation to save both time and money.</div>
          <br />
          <div class='blog-uli'> Businesses with Large volumes of data can benefit largely from automation of processes at scale. Larger the number of documents, higher is the efficiency and optimisation derived.</div>
          <br />
          <div class='blog-uli'> IDP can be implemented in any industry, for any process, and/or business of any size. It is inherently scalable and can be used for a wide range of documents.</div>
          <br />
          <div class='blog-uli'> If a business has complex regulations and compliances to take care of, then IDP offers a digital trail that can be used to audit and ensure compliance with these regulations.</div>
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        </div>
        <h2 class='heading2 blog-unitHeading semiBold'>Examples of Intelligent Document Processing (IDP) Use Cases</h2>
        <br />
        <div>An IDP platform can benefit a wide range of industries and processes. Here is a quick look at some businesses where IDP can play a crucial role in making the processes more efficient.</div>
        <br />
        <h3 class='heading2 blog-industryHeading semiBold'>Banking Industry</h3>
        <div>Physical documents such as Handwritten forms, applications, background verification documents, etc. are synonymous with banks. While most banks have been trying to automate processes and embrace digital options, many processes still bank on physical documents that require manual processing. Data is a crucial resource for the banking industry. From customer onboarding processes to the loan department, banking processes are heavily reliant on data. Today, banks also have to offer digital services to the customers which require them to have all the historical data in the digital format. An intelligent document processing platform benefits banks by ensuring that the data captured is structured and error-free with real-time analytical insights.</div>
        <br />
        <h3 class='heading2 blog-industryHeading semiBold'>Accounting Processes</h3>
        <div>Accounts need to be maintained across all industries and organizations. It involves a lot of documents like bills, invoices, purchase orders, contracts, etc. While traditionally all these documents have been processed manually with data being entered by humans in an accounting system, IDP can help extract data from these documents and convert them into a digital format with ease. This can help improve the efficiency of the process and save a lot of time.</div>
        <br />
        <div>To take an example, most B2B businesses process several invoices in a month. Most invoices are physical documents that are sent to the accounting team for processing. An intelligent document processing platform benefits these processes by extracting data from these documents automatically and entering it into the ERP or accounting software. This invoice processing automation saves time, costs, improves the efficiency of the invoice processing process, and reduces the risks of making late payments.</div>
        <br />
        <h3 class='heading2 blog-industryHeading semiBold'>Mortgage Firms</h3>
        <div>Firms that offer mortgage loans have to deal with volumes of paperwork like application forms, credit and verification reports, legal documents, etc. Manually processing and handling these documents can use up a lot of the firm’s human resources. Small firms can also process hundreds of documents per week. An intelligent document processing platform benefits such firms by managing all types of physical documents, automatically extracting information, and improving the overall efficiency of the workflow.</div>
        <br />
        <div>These firms need to verify the applicant’s personal information, credit report, collateral-related documents, and a range of legal papers before approving/denying the loan. If the loan is approved, then the firm needs to keep records of all the documents in its software. With an IDP, this can be done in no time with minimal manual intervention.</div>
        <br />
        <h3 class='heading2 blog-industryHeading semiBold'>Human Resources</h3>
        <div>Like accounting, human resources (HR) is an integral part of all businesses. The HR team manages volumes of data pertaining to employees, recruitment, financial records, training, career progression of employees, employee reviews, etc. Most of this data is collected regularly and larger organizations can see huge volumes of data in different formats being sent to the HR team. Managing and processing it can be a huge task for HR employees.</div>
        <br />
        <div>This is another area where an intelligent document processing platform benefits the organization. With an automated IDP platform, the HR team can manage large volumes of physical documents with relative ease. Hence, there is no loss of important information or a backlog of documents to be processed. The team can focus on gathering insights and making the necessary changes in the organization.</div>
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        <h3 class='heading2 blog-industryHeading semiBold'>Healthcare Industry</h3>
        <div>The healthcare industry lays a lot of emphasis on the medical records of a patient. It is important for all healthcare providers to maintain these records and make them available on-demand if the need arises. This is a critical industry where a delay of a few minutes can be fatal. Traditionally, most healthcare providers kept patient data in physical files and folders in their record rooms. Hence, if the documents of a particular patient were needed, then the staff had to sift through the paperwork to find what they needed. This took time and the risk of missing out on an important document was inherent to this process.</div>
        <br />
        <div>The intelligent document processing platform benefits the healthcare industry by extracting information from physical documents automatically and storing it in the healthcare provider’s database. This allows for easy and timely access to a patient’s medical records when needed and gives medical professionals a complete overview of the patient's history at a click of a button. Apart from maintaining health records for Hospital Management Systems, IDP can also help optimize data management in clinical trials and quicken claims processes by automating information extraction from discharge summaries and hospital bills and automating medical coding processes.</div>
        <br />
        <h3 class='heading2 blog-industryHeading semiBold'>Travel Expense Management</h3>
        <div>Many travel management firms offer business travel management services that include the management of itineraries, meeting schedules, local transport, travel expenses, and reimbursement. These firms ask users to scan and upload travel-related receipts and deposit the money in the bank.</div>
        <br />
        <div>These firms process receipts manually which involves a lot of manual work and time. Such firms can use intelligent document automation and process the receipts within no time with reduced errors and increased accuracy.</div>
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        <h2 class='heading2 blog-unitHeading semiBold'>Summing Up</h2>
        <br />
        <div>In the digital world of today, data management plays a crucial role in the success of a business. The efficiency of managing data can impact the operational costs, performance of services, and influence the bottom line of any organization. Companies that leverage the intelligent document processing platform benefit from improved productivity, reduced costs and focused growth and expansion. IDP is a technology that can open new doors to success and prepare your organization for the future.</div>
        <br />
      </div>

Intelligent Document Processing or IDP is a technology that can help automate the process of extracting data from physical documents.

Intelligent document processing for your B2B business

<div class='blog-desc desc'>
        <br />
        <div>Customer Service is the key differentiating factor for brands and an important parameter that forms the basis of how customers perceive brand value.. A recent Forbes report suggests that as much as $75 billion worth of business is lost in the US alone, due to poor customer service. Bain & Co validates that a customer is 4 times more likely to buy from a competitor if the problem is related to service than the product.</div>
        <br />
        <div>The relationship between customer service and customer experience is thus becoming a key determinator to establish and differentiate one’s presence amid the competition. Our previous blog titled <span class='blog-link' href='https://amygb.ai/blog/out-of-the-box-email-automation-solutions-for-insurance-companies/'>Out of the Box Email Automation solutions for Insurance companies</span> highlights the importance of process automation in elevating customer experience by improving the quality of communication with exponentially quicker resolution time.</div>
        <br />
        <div>This article aims at identifying the processes involved in the customer support department of a typical insurance company, that can greatly benefit from using Intelligent Automation.</div>
        <br />
        <div>Data suggests that majority of the customers prefer email and chat based communication to resolve their queries. Even though such channels of communication may have some lag time to respond, customers are increasingly getting impatient, looking for immediate resolutions, whichever be the medium of communication. </div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>What is Intelligent Automation?</h2>
        <br />
        <div>Intelligent Automation is the use of Artificial intelligence, Machine Learning, Natural Language Processing and process automation to make processes smarter, more efficient and accurate, while also being more cost effective.</div>
        <br />
        <div>Let’s take two examples of how email automation has helped the Insurance Customer Experience industry:</div>
        <br />
        <div class='blog-tabList'>
          <h3 class='subHeading2 semiBold blog-darkHeading blog-li'>1 Email Automation for General (Motor) Insurance:</h3>
          <br />
          <div>Insurance companies receive thousands of support requests from their customers through various channels, including chat and email. The current process involves agents manually reading through all these emails to respond to their requests. </div>
          <br />
          <div >There are 2 main problems with this approach:</div>
          <br />
          <div class='blog-tabList'>
            <h4 class=' semiBold blog-uli blog-darkHeading headingLineHeight'> High Response time</h4>
            <div>During peak volume surges, agents face a huge backlog of unresponded emails which negatively impacts the TAT commitment, thus giving rise to customer frustration.</div>
            <br />
            <h4 class=' semiBold blog-uli blog-darkHeading headingLineHeight'> Quality</h4>
            <div>Many a time, in lieu of trying to complete the task list or due to lack of adequate skills, we find emails being incorrectly tagged leading to inaccurate responses or even worse, junk data in the CRM, leading to poor customer insights.</div>
            <br />
          </div>
          <br />
          <div>Intelligent email Automation can help do away with the erroneous and time-consuming manual verification process, to delight customers with a shorter response time and instant resolution of their service requests.</div>
          <br />
          <div>For example, let’s take a typical example of a customer’s Endorsement request for an address change in his policy. The typical process entails an agent downloading the request form along with attached KYC details, validating the authenticity of the customer information from databases and manually entering this information into the CRM - an approval process that takes approximately 3 - 5 business days.</div>
          <br />
          <div>Consider a scenario where an intelligent bot is capable of reading and responding to all customer emails using NLP and Machine Learning technology. Yes, you read that right. AmyGB’s MailERA is an intuitive, self learning end to end email automation bot that reads incoming emails, categorises them correctly, reads the attachment using it’s IDP (Intelligent Document Processing) Platform and responds to the customer request within minutes, after fetching the relevant details from the database.</div>
          <br />
          <br />
          <div class='rowFlex centered blog-darkHeading'>EXAMPLE ILLUSTRATION: Automation of Endorsement Request for change of Vehicle Registration number</div>
          <img class='blog-images' src='https://amygb-web-static.s3.ap-south-1.amazonaws.com/Mailera-blog-img1.jpg' alt='Automation of Endorsement email request for change of vehicle registration number in Motor Insurance Customer Support' />
          <br />
          <div>Other general Insurance processes that have shown tremendous success with automation using MailERA’s email bot are:</div>

          <div class='blog-tabList'>
            <div class='blog-li'>1 Automation of Soft and Hard copy requests</div>
            <div class='blog-li'>2 Automation of endorsement requests</div>
            <div class='blog-li'>3 Claim Status requests</div>
            <div class='blog-li'>4 Claim settlement requests</div>
            <div class='blog-li'>5 Policy renewal request</div>
          </div>
          <br />
          <div>The above service request categories easily contribute to more than 70% of customer support emails. The nature of these requests being repetitive, and advancements in AI technology getting more sophisticated and intuitive, why still rely on outdated, laborious, time consuming and error prone manual processes? Insurance companies have greatly benefited by saving on resource time, utilising them to service more complex requests or customer complaints. </div>
          <br />
          <h3 class='subHeading2 semiBold blog-darkHeading blog-li'>2 Email Automation for Life Insurance:</h3>
          <br />
          <div>The Life Insurance industry receives emails of fairly similar nature to those in GI, namely soft copy & hard copy requests, Addition / deletion of nominees etc. However, a few differences are notable, for example Death claim status requests, Life certificates, receipt of hospital bills and discharge summaries. </div>
          <br />
          <div>MailERA’s email bot, along with it’s IDP counterpart VisionERA has successfully solved the challenging nuances of the Life Insurance industry through its advanced NLP & Deep Learning technology along with intelligent use of database integrations.</div>
          <br />
        </div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Endorsing MailERA</h2>
        <br />
        <div>MailERA is an intuitive, self learning, intelligent platform that decodes the unstructured information in the emails, deciphers the intent and decides on a response template to provide instant resolution to customer requests.</div>
        <br />
        <div>MailERA has a proven track record with implementations across several Insurance giants, delivering more than 98% reduction in TAT with 300% productivity gain and significant cost reduction.</div>
        <br />
        <div>Some of the many benefits of MailERA are:</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Out of the box, self-learning model</h3>
        <br />
        <div>As explained above, MailERA differs from other automation software as it requires minimal training data and comes with a unique, first-of-its-kind self-learning interface that allows users to self-train the algorithms to provide instant value from day one.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Better Productivity</h3>
        <br />
        <div>AmyGB has gained domain expertise by virtue of working with leading insurance firms.  Our automation software handled an enormous volume of surges, that too with a limited workforce. Yet they have shown to increase their team’s productivity by more than 300%.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Human Assistance</h3>
        <br />
        <div>MailERA can be trained to raise flags for human intervention, or classify emails basis priority buckets, to ensure efficient handling of complex and important customer queries/complaints.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Cost Efficiency</h3>
        <br />
        <div>Our customers have achieved a near 70% reduction in cost by re-deploying human agents to more productive tasks. There has been a significant shift in priorities where urgent cases could be solved faster and effectively. Besides, appreciating their skill sets, automation has alleviated the burden of tedious manual processes.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Open to Less Human Errors</h3>
        <br />
        <div>MailERA has successfully achieved beyond 98% accuracy in email categorization, surpassing human accuracy by more than 40% of the use cases in leading Indian insurance firms.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Turn around time</h3>
        <br />
        <div>MailERA has proven to notably lower the time taken by the agents to respond to customers’ queries time by more than 98%, providing instant, error-free and effective responses to a set of very happy customers.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Customer Satisfaction</h3>
        <br />
        <div>AmyGB’s MailERA has helped double the Customer Satisfaction (C-SAT) scores by 2x, with an increased number of happy and loyal customers, overjoyed with the speed, efficiency, and dependability of responses.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Let automation lead you to the future</h2>
        <br />
        <div>The value of effective email automation in the insurance sector holds an important significance to sustain a hygienic customer relationship. Automation is transforming the Insurance sector by categorizing and decoding a flurry of unstructured data into comprehensible structured data. Thus the value of accurate and diligent automation that can effectively respond to customer communication cannot be underestimated.  MailERA streamlines the repetitive and trivial queries which can be successfully addressed by AI.</div>
        <br />
        <div>This empowers the insurance companies and the employees to engage progressively with customers. They are encouraged to perform more meaningful work and the comprehensive productivity increases.</div>
        <br />
        <br />
      </div>

Talk to our automation experts now,  and book your free demo slot

This article aims at identifying the processes involved in the customer support department of a typical insurance company, that can greatly benefit from using Intelligent Automation.

Customer Excellence Use Cases with Intelligent Email Automation in the Insurance Industry

<div class='blog-desc desc'>
        <br />
        <div>Digitization has changed the way we live, work, buy, and sell products and services. In these competitive times, embracing digital solutions is the key to staying relevant in business. Most organizations use a plethora of software for various processes to make the workflow simpler and more efficient. There are hundreds of off-the-shelf software products that can help with almost all aspects of any business-like accounting, customer service, human resources, etc. However, all organizations, including your competitors have access to the same set of software and applications.</div>
        <br />
        <div>So, how do you create something unique – something that gives you an edge? Changing your business processes with intelligent automation software tweaked for your custom needs could be a good starting point. This will allow your organization to improve the end-to-end process enabling you to offer a customer experience that is unparalleled in your industry. Intelligent document processing (IDP) can empower your organization with next-gen technology and help you boost the customer experience (CX) for your business.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Intelligent document processing definition</h2>
        <br />
        <div>As the name suggests, intelligent document processing is a collection of technologies used in cohesion to extract data from unstructured physical documents. Since data is central to any organization’s workflow, data collection and management solutions are essential to its success.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Intelligent Document Processing and Customer Experience (CX)</h2>
        <br />
        <div>Customer Experience is how customers perceive a brand through their entire journey with the said brand. It is an important aspect since customer experience can impact the bottom line of the brand. A positive customer experience ensures loyalty and helps you retain customers while boosting brand advocacy. In today’s times, buyers are more powerful than sellers. They have a wide range of options to choose from and endless resources to educate themselves and choose the right products/services.</div>
        <br />
        <div>In traditional business models, legacy systems and processes that didn’t communicate with each other failed to create a memorable customer experience. With organizations getting digitally transformed, most businesses realize that automation is the key to amazing customer experiences – a streamlined and automated process that is error-free and efficient.</div>
        <br />
        <div>Here are some ways in which intelligent document processing can help boost customer experience:</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Helps Automate Tasks</h3>
        <br />
        <div>One of the best ways to improve customer experience is to automate tasks. This increases efficiency and reduces human error making the customer journey seamless and smooth. Many next-gen organizations use intelligent process automation to automate repetitive processes to improve customer service. Intelligent document processing helps process various customer-related documents to make these automated processes more effective and relevant. A typical customer journey involves self-serviceable automated tasks for easy queries and human interaction for complex ones. Overall, the customer has a more satisfying experience.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Improves Customer Response Times</h3>
        <br />
        <div>Today, customers have less patience to wait for a resolution to their queries. In the world of instant food and instant pictures, people expect an instant query resolution too. While that might not be always possible, intelligent document processing solutions help improve customer response times leading to a better customer experience. With IDP, the organization can ensure that all structured and unstructured data pertaining to a particular customer is stored in a common software accessible at all touchpoints. This ensures that customers receive instant responses to simple queries (think chatbots) and customer service professionals have access to the same information across the organization to answer complex queries.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Reduces Human Error</h3>
        <br />
        <div>One of the biggest benefits of automating processes is the reduction of human error. In fact, the manual conversion of physical documents to structured data can lead to several discrepancies or errors. Hence, one of the best ways to reduce human error in a workflow is to identify the sub-processes that can be automated with ease. With intelligent document processing, data extraction from most types of unstructured documents is possible making it a good way to automate a process and reduce human error.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Easy And More Efficient Onboarding Of New Customers</h3>
        <br />
        <div>In service-related businesses like insurance, loans, banking etc., there is a lot of paperwork involved while onboarding a new customer. From forms to declarations, personal documents to legal papers, the list is huge. By using intelligent document processing, organizations can ensure that all these documents are automatically fed into the business applications and workflows making the on-boarding process quicker and more efficient. This is the customer’s first interaction with the brand and a quick and error-free experience can go a long way in boosting customer experience.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Turbo Charging Email and Chatbot automation</h3>
        <br />
        <div>IDP can be effectively incorporated into customer communication channels such as e-mail and chatbots with the objective of enhancing the customer experience journey with lesser wait time, quicker responses and more accurate resolution. AmyGB’s IDP platform “VisionERA” can be integrated with emails and chatbots, employing a unique pattern-based recognition approach to identify the intent of the email / chat,  read the attachments, fetch information from databases  and take necessary actions for faster resolution. The entire customer response management system can be automated with minimum human intervention, closing the communication loop with automated responses via email, chat or social media.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-uli blog-darkHeading'> Turn Customer Experience Into Customer Delight</h3>
        <br />
        <div>Intelligent document processing benefits various stages of customer interaction. Right from the time the customer first interacts with the brand to query resolution and retention, IDP can help turn an experience into delight. As most organizations struggle with volumes of data coming via various channels and in different formats, an intelligent document processing platform that can help convert all the information into digital data can form a good foundation for creating automated workflows and processes.</div>
        <br />
        <div>Today, mere service won’t cut it as customers expect to be delighted, not just offered a product or service. They are aware of the options available to them and are unwilling to settle for anything less than the best. Hence, IDP that uses artificial intelligence, machine learning, and neuro-linguistic programming can help ensure an error-free and efficient document processing system and help other teams work towards delighting the customers. Also, when you work towards automating your processes to improve customer experience, you help create internal processes that save a lot of time and effort for your employees thereby saving cost in the long-run.</div>
        <br />
        <div>To give you an example, in the insurance sector, claims processing is a long and arduous, paper-driven process. With several forms and documents to be collected from the customer, physical documents are usually sent across departments to get the claim processed. With intelligent document processing, the entire claims process from capturing the initial set of documents to getting inter-departmental updates can be done using applications. IDP ensures that all kinds of physical documents are processed efficiently and the information is uploaded to the necessary systems. This makes claims processing faster and boosts customer experience.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Summing Up</h2>
        <br />
        <div>Any organisation from almost any industry that places its customers first, can boost CX using intelligent document processing. IDP can take care of most of your document processing concerns and allow you to focus on your customers. Remember, data is the backbone of any successful business. Hence, by using IDP to process physical documents, you can be assured of high-quality data extraction with minimal human effort. Also, since IDP uses machine learning, it evolves with time and improves in accuracy.</div>
        <br />
        <div>In a nutshell, to boost customer experience, you need efficient processes and easily available insights to drive customer focused, data driven decisions. Automation can help you achieve this. With IDP to manage physical documents, process automation will be more efficient and effective than ever before.</div>
        <br />
      </div>

Digitization has changed the way we live, work, buy, and sell products and services. In these competitive times, embracing digital solutions is the key to staying relevant in business

Boost Customer Experience (CX) with Intelligent Document Processing

<div class='blog-desc desc'>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>How Intelligent Document Processing can Automate FASTag Issuance?</h2>
        <br />
        <div> FASTag has emerged as one of the biggest disruptors, transforming the Indian national highways’ toll collection by adopting automation technologies at each level.</div>
        <br />
        <div>The electronic toll tax collection system ushered in a new age in India's tax collection process, marking a giant step towards realizing the dream of digital India.</div>
        <br />
        <div>The three major utilities of FASTag are:</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>1 Time Conserving & Efficient</h3>
        <br />
        <div>It has significantly decreased the rush at various busy toll collection booths, where the average toll collection time ranged from anything between 5 to 20 minutes.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>2 Remove Discrepancies in Transaction</h3>
        <br />
        <div>It has neutralized any ambiguity in the toll collection procedure. The tax amount varies according to vehicle category, and the manual process gave way to many discrepancies. a FASTag incorporation makes this process more transparent, thereby decreasing errors via cashless transactions.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>3 Manpower reduction</h3>
        <br />
        <div>A standard toll collection section needed a minimum of 6-7 attendants to function at an optimum level. The company had to bear a recurring cost to pay for the manpower. FASTag can eventually, in the near future, reduce this manpower requirement considerably, making it a more cost-effective option.</div>
        <br />
        <h3 class='subHeading2 semiBold blog-li blog-darkHeading'>4 Instant Document Verification of Vehicle & Stolen Vehicle Identification</h3>
        <br />
        <div> Besides saving time and resources, FASTag verifies documents’ validity, checks blacklisted vehicles in the centralised database, and identifies stolen vehicles with false papers. It provides an instant, seamless transaction experience reducing the ques of the toll plazas.</div>
        <br />
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>How does FASTag Function?</h2>
        <br />
        <div>FASTag is a reloadable tag that is simpler than the manual toll collection system.  It uses radio frequency identification linked with every vehicle’s unique ID. FASTag is linked to a prepaid account from which the amount gets deducted automatically. Thus, it is imperative to have a balance in the FASTag account before arriving at the toll plaza, to enjoy the convenience of cashless toll collection.</div>
        <br />
        <div>The most convenient way of having a FASTag account is through banks as 22 national banks are entrusted with the procedure. For the issuance of FASTags through banks, vehicle owners must submit  proper documentation such as vehicle registration certificate, KYC proof, Driver’s licence and personal ID.</div>
        <br />
        <div>These details can be uploaded via the bank’s mobile application. This is precisely where the problem crawls in.</div>
        <br />
        <div>At the time of  FASTag issuance, these documents uploaded by the customers are manually verified by the firm, before creating their prepaid account.
        It is a repetitive task where employees are dealing with countless documents, paving ways for human-prone errors, high processing time, and increased cost in case of discrepancies.
                </div>
        <br />
        <div>To address all these major problems, the industry has been on the lookout for solutions that can help reduce their processing time and reduce costs associated with fraudulent transactions. Intelligent Document Processing has become a powerful and effective tool to maximise efficiency and security while reducing the dependency on manpower.</div>
        <br />
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Intelligent Document Processing (IDP) - Making FASTag Issuance Faster</h2>
        <br />
        <div>VisionERA, AmyGB’s Intelligent Document Processing Platform offers the ability to do away with the erroneous and time-consuming manual verification process.
        Through an effective and systematic procedure where machines empower humans by automating unstructured data workflows to provides actionable insight that help in instant approvals with minimise risk of frau
                </div>
        <br />
        <div>The IDP platform follows a triple check validation mechanism using Triangulation logic, to automatically detect fraudulent cases and pass them for human intervention, while passing instant approvals for valid applications.</div>
        <br />
        <div>The typical document processing workflow follows 5 major steps of automated approval using AI, ML, NLP and Triangulation algorithms:</div>
        <br />
        <img class='blog-images' src='https://amygb-web-static.s3.ap-south-1.amazonaws.com/FASTag-blog-img1.png' alt='Approval process automation and fraud detection using data triangulation in Intelligent Document Processing' />
        <br />
        <h3 class='subHeading2 semiBold blog-uli-heading blog-darkHeading'>Step 1:</h3>
        <ul class='blogUl'>
          <li class='blogLiPadding'>
            The customer uploads the application form, vehicle registration certificate, Driving Licence and / or vehicle photograph (image) on the bank’s application.
                    </li>
          <li class='blogLiPadding'>
            VisonERA’s intelligent IDP platform employs pre-trained machine learning algorithms that automatically classify the uploaded documents.
                    </li>
          <li class='blogLiPadding'>
            The uploaded documents undergo pre-processing for noise cancellation and deskewing to enhance the results of data extraction.
                    </li>
        </ul>
        <br />
        <h3 class='subHeading2 semiBold blog-uli-heading blog-darkHeading'>Step 2:</h3>
        <ul class='blogUl'>
          <li class='blogLiPadding'>
            VisionERA’s in built OCR reads and extracts data from the printed / handwritten application forms, as well as scanned copies of the supporting documents
                    </li>
          <li class='blogLiPadding'>
            Computer Vision technology scans the vehicle image to identify the vehicle class / category
                    </li>
        </ul>
        <br />
        <h3 class='subHeading2 semiBold blog-uli-heading blog-darkHeading'>Step 3:</h3>
        <ul class='blogUl'>
          <li class='blogLiPadding'>
            The IDP platform intelligently interacts with third party databases using APIs, to validate the correctness of the information extracted.
                    </li>
          <li class='blogLiPadding'>
            The 3 step Triangulation logic validates information obtained from the documents using OCR, the vehicle image using Computer Vision and the third party databases using APIs.
                    </li>
        </ul>
        <br />
        <h3 class='subHeading2 semiBold blog-uli-heading blog-darkHeading'>Step 4:</h3>
        <ul class='blogUl'>
          <li class='blogLiPadding'>
            If the obtained information passes the triangulation logic, an instant approval is dispatched to the customer within minutes
                    </li>
          <li class='blogLiPadding'>
            Upon mismatch of any piece of information detailed above, VisionERA’s intelligent fraud detection system sends an alert by pausing the approval process and pushing the application for manual intervention.
                    </li>
        </ul>
        <br />
        <h3 class='subHeading2 semiBold blog-uli-heading blog-darkHeading'>Step 5:</h3>
        <ul class='blogUl'>
          <li class='blogLiPadding'>
            VisionERA goes a step further to enhance the efficiency of the approval process, by sending colour coded approvals basis vehicle category, for seamless dispatch of relevant Fast Tags by the operations and dispatch teams.
                    </li>
        </ul>
        <br />
        <br />
        <h2 class='heading2 blog-unitHeading semiBold '>VisionERA’s Intelligent Document Verification vs Manual Document Verification</h2>
        <br />
        <div> This table provides a comparative analysis of VisionERA’s proprietary document processing method and the traditional verification.</div>
        <br />
        <img class='blog-images' src='https://amygb-web-static.s3.ap-south-1.amazonaws.com/FASTag-blog-img2.png' alt='Intelligent Automation and IDP versus Manual data processing' />
        <br />
        <br />
        <h2 class='heading2 blog-unitHeading semiBold '>Fraud Protection to Ensure an Automated FASTag Issuance</h2>
        <br />
        <div>Data-driven AI Automation in FASTag issuance appropriates a step closer towards the dream of ‘Digital India’. VisionERA’s refined machine-learned document processing model is accelerating the process of transforming unstructured information into structured and actionable data while reducing the handling and processing time from days to minutes.</div>
        <br />
        <div>Automation is not limited to chatbots or communication. It also includes fraud protection to provide customer security- an absolute need in the financial ecosystem.</div>
        <br />
        <div>Empowering banks to do more with less by providing beyond Bot solutions, VisionERA is transforming banking into an agile business.</div>
        <br />
        <div>With increased accuracy, banks no longer need to worry about fraudulent FASTag issuance as the machine-human synergy validates information with zero errors and minimum human intervention.</div>
        <br />
        <div>Provide your customers the best banking experience by switching to intelligent banking operations with AmyGB.ai</div>
        <br />
        <div>Add value to your banking by establishing an automated workflow with easy maintenance and implementation.</div>
        <br />
        <img class='blog-images' src='https://amygb-web-static.s3.ap-south-1.amazonaws.com/FASTag-blog-img3.png' alt='Benefits of using IDP and Intelligent Automation in banking process and Fast Tag approval' />
        <br />
        <br />
      </div>

Talk to our automation experts now, and book your free demo slot.

Intelligent Document Processing reduces FASTag processing time by 90%. Swift machine-human collaboration decodes unstructured data to provide actionable insights, providing instant approvals and fraud detection using data triangulation.

Payments Banks speed up approval processes by 30X and detect fraud using Intelligent Document Processing (IDP)

<div class='blog-desc desc'>
        <br />
        <div>Meeting customer expectations is one of the most essential issues for the banking sector post digitalization. A great CRM is now more critical than ever before. The prevalence of customer relationship management is imperative for a tailored approach towards customer data, personalized outreach at scale, and proactive insight to keep up with the competition. CRM helps the banking sector to build a customer-centric business model to deliver effective and fast digital engagements. The CRM is significant for reducing loads of the bankers by helping them collect and streamline data for better customer engagement thus helping in strengthening customer relationships.</div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>AI integration in the CRM</h2>
        <br />
        <div>Artificial intelligence is almost omnipresent across the post-modern world. AI algorithms make human lives easier with a seamless human and machine synergy. The significance of providing better customer service can profoundly guide the business in the banking sector to boost the decision-making process.
        As per a McKinsey report, 75% of online customers expect a response within 5 minutes of their approach. Thus, in order to drive real-time data-driven business decisions, AI integration in customer relationship management is ushering a newfound sense of innovation for more efficient data management.
        As per a report in Forbes, less than 0.5% of all data can be appropriately analyzed and used. Thus adopting AI technology in the CRM of the banking sector is imperative for an enhanced customer experience at each node of the sales funnel. Banking, now more than ever, is driven by customers and a research by Bain & Co proves that customers are 4 times more likely to buy from a competitor if the problem is related to service than the product.
                </div>
        <br />
        <div>This article will primarily focus on how the use of an AI enabled Mail Bot can boost operational efficiency and productivity, bringing a profound sense of customer satisfaction and loyalty by automation of customer support email responses. The results are multifold, from reduced human errors, fraud detection, efficient resource allocation, identifying patterns from past decisions to making workers more productive.</div>
        <br />
        <div>Stereotypical email responses and the problems with manual response management:</div>
        <br />
        <div class='blog-tabList'>
          <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Less output value and high input time for repetitive tasks:</h3>
          <div>From manual data entry to updating the CRM, responding to repetitive customer queries via email, more than 80% of the tasks can be automated, allowing more work to be completed in less time. The operations team can thus utilize their time in more constructive higher-quality work. As per Microsoft’s State of Global Customer Service report, 51% of all customers feel that most brands do not take action on customer feedback. </div>
          <br />
          <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> High Turnaround Time (TAT):</h3>
          <div>Without automation, human efforts can be overwhelmingly time consuming, especially with backlog of emails during peak seasons. A McKinsey report suggests that 75% of online customers expect help within 5 minutes, and 60% Customers expect the same standards even in non-working hours. Automation of repetitive queries brings down the TAT by more than 90%, resulting in more satisfied and loyal customers.</div>
          <br />
          <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Human Error:</h3>
          <div>Increased dependency on manual response management runs the risk of human error and poor quality of communication. Automation ensures constituent quality with better than human accuracy.</div>
          <br />
          <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Operational Inefficiency:</h3>
          <div>The constant attrition of agents coupled with seasonal volume fluctuations causes an operational havoc within contact centres. This compromises productivity by increasing the duration of the learning curve, also incurring a huge cost on the training of new agents.</div>
          <br />
          <h2 class='heading2 blog-unitHeading semiBold'>Email automation in banking</h2>
          <br />
          <div>A growing number of customers choose email as a channel for communication, thus emerging as the most preferred digital platform for customer service. Email automation using a mail bot automates mundane and repetitive tasks leaving more time for agents to handle complex queries.</div>
          <br />
          <div>MailERA is a self learning, out of the box email automation tool pre-trained on customer support queries for the Banking industry. With several implementations across the BFSI sector, MailERA is the predominant domain expert to drive automation in banking customer experience.</div>
          <br />
          <h2 class='heading2 blog-unitHeading semiBold'>How MailERA transforming the CRM through email automation</h2>
          <br />
          <div>The application of email automation as a technological capability renders renewed opportunities to achieve business goals. MailERA’s deep Learning capabilities combined with robotic process automation, natural language processing, and machine learning algorithms provide a delightful omnichannel customer experience.</div>
          <br />
          <div>MailERA is an intuitive platform that connects the mailbox with your CRM to automate responses to customer queries. It scans through emails, processes content, automatically tags emails into predefined buckets, extracts relevant information from the email and validates the same with the CRM in order to draft automated responses with minimal human effort.</div>
          <br />
          <h2 class='heading2 blog-unitHeading semiBold'>Banking Use Cases running in Automation mode</h2>
          <br />
          <div>Complete automation has been achieved in some of the most repetitive, mundane, and time-consuming use cases that occupy the highest bulk of incoming email in a banking CRM. Some of the many use cases that have undergone complete automation with MailERA’s Deep Learning based automation are:</div>
          <br />
          <div class='blog-tabList'>
            <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> KYC Status</h3>
            <div>MailERA uses NLP to identify emails of customers requesting for their KYC status.  Using APIs, it fetches the required  information and addresses the request instantly, using customised response templates.</div>
            <br />
            <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Offers reading Cash Back</h3>
            <div>MailERA reads and understands the query and communicates with the database to quickly draft relevant Applicable offers.</div>
            <br />
            <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Queries regarding the transaction</h3>
            <div>MailERA addresses such repetitive queries seamlessly to provide instant relief to the customer seeking reasons for the freezing of their transactions such as</div>
            <div class='blog-tabList'>
              <div class='blog-uli'> Credit Freeze</div>
              <div class='blog-uli'> Debit Freeze</div>
            </div>
            <br />
            <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Explanation of various charges</h3>
            <div>Banking includes subsequent explanation of various charges incurred by the customers such as alerts charges, debit card charges, POS charges, cheque book charges, NB pin charges.  MailERA quickly gathers the correct information from the CRM, verifies the customer’s inputs, and automatically reverts with a comprehensive explanation behind the charges in less than 5 minutes, without involving human intervention.</div>
            <br />
            <h3 class='subHeading2 semiBold blog-darkHeading blog-uli headingLineHeight'> Request for Static Data Updation</h3>
            <div>Customers often request to change or update basic KYC related information such as email ID, mobile number, PAN number, Aadhaar Number etc. MailERA automates this process by capturing the information provided by the customer and verifies it with the supporting documents attached in the email using its proprietary OCR tool to quicken the process and avoid the risk of fraud.</div>
            <br />
          </div>
          <div class='headingLineHeight'>Some other repetitive banking queries that have benefitted from Automation are:</div>
          <div class='blog-tabList'>
            <div class='blog-uli'> Account Statement Requests</div>
            <div class='blog-uli'> Transaction Status Requests</div>
            <div class='blog-uli'> Unable to carry out Transactions requests etc.</div>
          </div>
          <br />

        </div>
        <br />
        <h2 class='heading2 blog-unitHeading semiBold'>Conclusion</h2>
        <br />
        <div>MailERA’s  advanced NLP capabilities combined with deep learning technology identifies and decodes intents from the email body using a unique pattern-based recognition approach. It further categories and tags emails with more than 90% accuracy. It is a complete end-to-end platform that can fetch, extract and update the information in the CRM from the e-mail, and can generate tickets through the CRM when needed. What’s more, with immense domain expertise with several implementations in the banking sector, MailERA is now available as an “Out of the box” tool that can be trained in-house, and tailored to fit customised requirements without the need to share sensitive data outside the organisation’s premise. An AI powered tool that trains itself using data limited to the walls your organisation. What more could you look out for!</div>
        <br />
        <br />
      </div>

This article will primarily focus on how the use of an AI enabled Mail Bot can boost operational efficiency and productivity, bringing a profound sense of customer satisfaction and loyalty by automation of customer support email responses.

Insights from our
team of experts

SO, WHAT WOULD YOU WANT
TO AUTOMATE TODAY?

NEWSLETTER

Insights from our team of experts

SO, WHAT WOULD YOU WANT TO AUTOMATE TODAY?

NEWSLETTER

Insights from our
team of experts

SO, WHAT WOULD YOU WANT
TO AUTOMATE TODAY?