Roots Automation Bolsters Digital Claims Assistant with Demand Packages Functionality
Digital Coworkers to execute the next-best-action around demand packages.
Roots Automation, creator of advanced, intelligent Digital Coworkers for the insurance industry, announced it has enhanced its Digital Claims Assistant Digital Coworker to execute the next-best-action around demand packages, including demand letters and other time-sensitive documents. Roots Automation’s Digital Claims Assistant accurately extracts data and improves document-based processes, as well as collaborates with an insurance company’s human workforce, to drive efficiencies and effectiveness in the claims management process.
It can be a very complex and labor-intensive process to find important specific demand information from a claimant’s attorney, buried deep in lengthy documents and emails, and companies often miss 30 percent of time-limited demand within a demand package as a result.
To help combat this and the resulting repercussions, Roots Automation has augmented its Digital Claims Assistant by using natural language processing (NLP) to ingest, classify, understand and process all of the structured and unstructured data claims processors receive to uncover demand information and then rapidly provide the recommended next steps. With this enhancement, Roots enables insurance businesses to respond to demand packages faster with higher accuracy and at a much larger volume; meet regulatory requirements; and significantly reduce claims leakage – which represents roughly six percent of total claim payments, equating to around $67 billion for U.S. insurers annually.
Since launching a short time ago, Roots has seen a 300% increase in customers using the demand package functionality.
“Our Digital Claims Assistant is using large language models trained with deep insurance domain knowledge which makes it highly accurate and lightning-fast. It is also able to scale infinitely to handle large volumes of data – all of which is needed when it comes to demand packages,” said Ratish Dalvi, Head of Artificial Intelligence and Machine Learning at Roots Automation. “We are continually evolving our solution with the latest and best AI tools and techniques, helping our customers shortcut their AI journey significantly and improve the claims assistant’s skills and capabilities on an ongoing basis.”
Originally Published: AIThority
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
Fusce non convallis mi. Curabitur nec rutrum orci. Etiam vitae diam ut tellus venenatis ultricies. Fusce vitae ipsum sed urna tempor tempor et vitae dui.
Fusce non convallis mi. Curabitur nec rutrum orci. Etiam vitae diam ut tellus venenatis ultricies. Fusce vitae ipsum sed urna tempor tempor et vitae dui. Aliquam nibh ante, tempus vel ultricies nec, tempus sed felis. Nullam et efficitur velit. Aenean odio nulla, facilisis a commodo eu, suscipit at augue.
Aliquam rutrum dui sapien. Aliquam pulvinar lectus accumsan est dictum, et faucibus justo ornare. Mauris placerat placerat consequat. Donec commodo consectetur nunc, et posuere orci lacinia sed. Duis mollis, eros quis porta laoreet, mi est euismod lectus, vitae volutpat quam enim congue tellus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin ornare laoreet consequat. Integer at accumsan lacus, eget ultricies augue. Vestibulum semper sapien at venenatis pretium. Integer nec iaculis lacus. Sed elit nisi, luctus sit amet vehicula nec, mattis nec purus. Nulla facilisi. Nam ornare in justo eget facilisis.
