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Niranjan Mishra
23 March, 2024

Intelligent Document Processing: Why IDP Wins

Intelligent Document Processing by Kinetix

Documentation, ranging from counterparty agreements all the way to industry standards, have traditionally suffered from logistical challenges and user experience woes. For example, legal teams in the capital markets often lack scalable access to vital information hidden away in offline agreements, which can lead to inefficient processes especially during times of compressed legal and market risk. Even today, sometimes these documents, such as ISDA Master Agreements, might be paper or electronic but not yet digitized and machine-readable. More importantly, the underlying commitments have not been extracted and structured in a meaningful way that allows for quick, reliable searching and decision-making.

In the case of industry standards, membership organizations struggle to present their complex documentation in a manner that optimizes user experience for their members and actually enhances the way content is consumed and digested. As in the case of counterparty agreements, even today these documents may be distributed in paper, PDF, or basic text form. With standards often having a lengthy lifespan and several versions over that period, this becomes a burden to the end consumer, who has to grapple with understanding how things relate and apply over time, or how things have changed and evolved. .

The solution to many of these problems is Intelligent Document Processing (IDP), which seamlessly transforms traditional, flat documents into their smart equivalents. IDP uses a variety of AI and machine learning technologies – from natural language processing to image recognition – to transform unstructured document-based content from multiple sources into an easily accessible, structured and enriched, digital representation . The key word in IDP is “Intelligent,” especially with the power of artificial intelligence (AI) added to the processing mix. Think only about the exponential difference between a technology like ChatGPT, which can generate natural language about nearly any topic in the world, and the OCR of yesteryear. Therein lies the power and capability of IDP to transform and enrich traditional documentation into its modern equivalent.

Today, many businesses are missing a huge opportunity. Despite the fact many have made large strides with their digital transformation programs, such progress has not been made when it comes to documentation. For many financial institutions and industry bodies, countless amounts of data are still in inaccessible, antiquated or unusable formats, from non-machine readable electronic data to paper documents sitting in warehouses. For a financial institution, this has “risk” written all over it, from managing credit and collateral properly, to gaining or maintaining competitive advantage, and going all the way to staving off disruption. In the case of standards producers, namely industry bodies whose primary charge is to produce documentation, they are often tasked with transforming entire industries from their traditional modes of operating to their more modern, digital equivalents. Supporting today’s traditional processes are traditional documents, but true, end-to-end digital transformation of industries requires smart, digital documents as a key part of underlying industry infrastructure.

The IDP Difference

Kinetix DocHub IDP frontend

Today’s top competitors constantly strive for digital transformation with the primary goal of optimizing business functionality and performance. With Deloitte estimating an eye-watering 80% of enterprise data today being unstructured – meaning stuck in unsearchable and inaccessible formats like paper and PDF – a massive opportunity exists to gain competitive advantage and improve functionality. With IDP, libraries of documents become easily accessible, searchable, and analyzed at scale. Extracted data can be examined in far more granular detail than ever before, and it can be presented in user-friendly interfaces that are fit for a particular purpose and workflow. Smart tagging and categorization allow data to be sliced, diced and connected in new and commercially beneficial ways, streamlining navigation, wayfinding, and information discovery. It puts content consumption and user experience at the front and center, reducing complexity, increasing insights, and improving efficiency. It frees your data from silos and allows for interoperability across systems. The impact? Business decisions are made quicker and smarter because critical information is accessed and leveraged more easily.

The Data Game – It’s a Serious Business

Digital data can enhance almost any business activity. A good example is managing ISDA Agreements at scale. When there’s major market events – let’s say the 2008 credit crisis or the COVID pandemic – in-house teams at banks scramble to analyze termination provisions across their entire customer base in a highly compressed amount of time. The faster their reaction time, the better position they will be in with respect to their competition. They may be able to secure collateral faster or adjust credit accordingly to limit their exposure. Identifying those customers who are subject to renegotiation and/or termination can be a daunting process as high-cost corporate attorneys need to pore over thousands and thousands of offline agreements, feverishly looking for specific provisions and analyzing the contents. With those agreements processed through IDP, the precision searching, reviewing, and analyzing is available at your fingertips, allowing for near immediate decision-making

Smart Documentation – Revolution not Evolution?

Smart Documentation

So how do you launch a documentation-focused digital transformation program? It’s important to avoid the common pitfalls that have led many to the illusion of progress, only to discover a downward spiral of burned time and expense. Many have attempted assembling solutions stitching together technologies like OCR (Optical Character Recognition) and RPA (Robotic Process Automation) with various rules-based systems. Others have seen the lure of a DTD or schema-based endstate to be appealing, such as DocBook or DITA, but at the onset have failed to understand the associated constraints and the authoring complexity. Together, these solutions have resulted in error prone solutions with slow turnaround times and subpar output. More importantly, the pitfalls are defined by swelling complexity and impracticality, leading to growing costs, team burden, and often, exhaustion.

With the powerful advancements in AI over the past couple years – specifically in terms of Natural Language Processing – it is prudent to embrace the full power of IDP from the beginning. Smart documentation can capture documents from multiple formats and sources and recognize different kinds of data – from customer data, to legal or regulatory obligations, to contractually-defined terms – for extraction. It can even process stylistic elements, such as a table of contents and footnotes, linking them with their reference content, as well as complex mathematical formulas and tables. .

The extraction and classification of information is accurate, even in highly niche and complex contexts such as finance documents (e.g. master agreements, CSAs, initial and variation margin, etc) or industry standards (e.g. ISDA, IEEE, ISO). This is a result of IDP being a “skills-based” AI, which means its capabilities are developed by a specialized team of SMEs working in concert with AI engineers. These skills are custom tailored to solve specific sets of goals, and together, they enable IDP to understand documents intelligently – in the same way that domain experts do, or even better. The core difference between IDP and human-based experts is thus the ability to run autonomously and markup, enrich, and transform documents at scale at far less expense. And when it comes to trust, IDP features a human-in-the-loop verification system as a checkpoint, so when the AI’s confidence scores below a certain threshold, it will ask for validation from an SME, not only improving a specific result but also all future results.

When a commercial edge is needed there is no doubt that increased document digitization speed, accuracy and enrichment can power better business decisions. We call this “Smart Documentation.” Business leaders need to unlock higher value opportunities by processing documents more efficiently and turning hidden information into deeper insights. With the power of AI-based services and IDP, it’s time for revolution, not evolution.

For more information

Kinetix is leading the way in Smart Documentation solutions and Intelligent Document Processing (IDP), delivering AI-based services that transform data trapped in documentation into insights, while driving efficiency and reduced costs. For more information about Kinetix IDP, contact Mark Zurada at [email protected].

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