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Insurance claims come in all shapes and sizes. They could be printed forms, handwritten doctor’s notes, or photos of sick pets or damaged motorcycles, leading to confusion for claims management specialists. Automation solves this confusion, improves the customer experience and increases operational efficiency.

We save insurance companies time and money using a combination of cutting-edge technologies, including: AI-powered document classification, data extraction, routing, data entry, and advanced OCR (optical character recognition) for handwriting to reduce manual tasks and process claims faster.

Insurers around the globe are scrambling to respond to COVID-19. Their customers want to know about policies of all kinds: in addition to health insurance, consumers are calling in with questions about life insurance, property insurance, and various kinds of business coverage. 

In just a few weeks’ time, insurance companies have been inundated with claims and inquiries. Property and casualty insurers could see as many as 30 million claims per month in the United States alone. A long downturn will also be tough on business and finance-related companies like trade credit insurers. The downturn will also affect auto insurers, as cars sit idle and driving declines. 

To help insurers handle the new volume, Automation Hero uses a combination of cutting-edge technologies, including: AI-powered document classification, data extraction, and advanced OCR (optical character recognition) for handwriting to reduce manual tasks and process claims faster. 

In the end, this helps: 

• Speed up all aspects of claims management
• Extract and compile data from scanned documents for database input or e-signature
• Reduce input errors
• Streamline auditing and reporting
• Incorporate attended automations so staff can review problem cases through a personal automation assistant, Robin

Benchmarking Automation Hero, ABBYY, and Google Vision’s AI-based platforms for handwriting OCR

• With a myriad of vendors touting competitive AI capabilities, it’s critical for organizations to evaluate success based on actual performance numbers. As such, we evaluated Automation Hero against two prominent AI-based handwriting OCR solutions – ABBYY and Google Vision.
• Automation Hero’s patent-pending Context Aware OCR outperformed both alternatives by approximately 180% and 40% respectively.

Out-of-the-box processing

To test the robustness of each tool’s handwriting OCR, we anonymized a collection of samples from real medical office forms and sent the same ~1,000 values to each system. Real medical form data was chosen because it combines many challenging elements:

• Complex words
• Cramped space for entering values
• A high-stress, fast-paced environment when people are writing

In order to test Automation Hero’s new Context Aware OCR capabilities, the Hero Platform_ was also given a custom Knowledge Graph. This knowledge graph was created by the customer with more than 40,000 potential values for the form field we were testing.

Our patent-pending technology enables the AI to directly use this data when making a prediction, leveraging your team‘s stored knowledge and experience to automatically improve results.

If you want to know how our platform can improve your invoice processing experience get in touch to request a demo.

Intelligent document processing (IDP) was born out of the need for organizations to accurately extract data from documents. With a variety of IDP solutions available, it is important to understand how accurately a given platform will identify and extract data.

In a September 2022 performance benchmark, GigaOm evaluated the performance of Automation Hero’s Hero Platform and ABBY’s Flexicapture. The independent evaluation consisted of two tests: invoice processing and handwriting recognition.

In naming Automation Hero a Leader In its September 2023 Radar Report for Intelligent Document Processing (IDP), GigaOm pointed to Automation Hero’s “considerable strengths in AI/ML/NLP and deep learning.”

GigaOm also states that “the Hero Platform_ provides greater accuracy than many IDP solutions and has differentiating capabilities in terms of handwriting recognition. It is a functionally rich, enterprise-grade IDP offering that should be considered by enterprises looking to drive AI-led transformation in document-centric workflows and processes.”

GigaOm defines IDP solutions as those that “enable the digitization of paper-based information assets and documents (such as PDFs, emails, invoices) containing unstructured, semi-structured, and structured data. IDP solutions offer artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and deep learning capabilities to improve data extraction accuracy and the degree of straight-through processing (STP).”

GigaOm’s Radar Report offers “a forward-looking assessment, plotting the current and projected position of each solution over a 12- to 18-month window.”

In this product overview, you’ll learn about the heart of the Automation Hero platform, Flow Studio. 

Flow Studio is a new approach to automating workflows, the place where you create the automations that you’ll work with elsewhere in the platform. The inputs, or raw materials, in Flow Studio, vary widely. These can include numerous data sources inside your company. Flow Studio has an extensive pre-built connector library, and we can also connect to your systems via API. 

Flow Studio is also where you can choose from drag-and-drop functions, which let you perform actions or include calculations using your specified data. Functions can then be customized for your company and shared with your colleagues. 

With these data sources and functions in hand, you can build an automation, or a flow. This part of our platform uses sophisticated AI techniques to analyze data that’s either structured and unstructured, from sources either on-premise or off, letting users build automations that solve complex problems — without needing to learn how to code.

OCR remains critical to efficiently processing documents and managing data entry. But with so many OCR solutions on the market, choosing the right one can be a challenge. So what should companies expect from OCR now? And how can you really measure a solution’s value?

In Automation Hero’s new Buyer’s Guide for Optical Character Recognition, we

• Outline where OCR came from and what it offers today
• Debunk common OCR accuracy myths
• Show the power of AI-augmented OCR
• Demonstrate how complete end-to-end document processing that goes beyond OCR impacts ROI

The Problem

The claims department within a Farm Bureau Insurance company was processing roughly 200 claims per day, which took on average 4-6 minutes per claim.

Not only was this fully manual, but the proper integrations were not in place to send the claims to the right adjuster. Past attempts at automation were unsuccessful, as rules-based processing could not handle template changes, new vendors, or interface with attachments like documents, pictures, etc. To add to this dilemma, when storms hit various regions the claims intake volume increased substantially leaving them to find internal resources outside of their department to help with the backlog. This left the claims and policy team feeling overwhelmed, overworked and unable to provide the level of customer service that their organization desired.