InsurGPTTM further expands the natural language capabilities of our Digital Coworkers by utilizing proprietary, fine-tuned Large Language Models (LLMs) to read and accurately extract data, held within structured and unstructured documents, such as:
95% accuracy scores* when extracting data from insurance documents.
InsurGPTTM has been fine-tuned to understand document and data type, business context, and process knowledge to ensure outputs are always accurate.
* Other general GPT models only achieved around 40% accuracy on the same tasks
Remove the need for templates and heavy OCR configuration to automate unstructured documents.
InsurGPTTM reads insurance documents like a human and produces accurate results fast and at scale.
InsurGPTTM is fine-tuned by insurance experts, ensuring results are always reliable and contextually correct.
InsurGPTTM is trained on a deep corpus of Insurance-specific data and documents alongside systems and process knowledge.
Access an out-of-the-box solution with little to no training on your data sets.
InsurGPTTM dramatically speeds up the adoption of AI by removing the need for expensive data science and engineering.
SOC2-Type 2, ISO27001, CCPA, GDPR, HIPAA, and NYCRR 500 compliant.
InsurGPTTM is natively embedded into our Digital Coworkers, and designed to operate in complex, regulatory environments.
Leverage an ever-evolving knowledge base and a continually expanding library of use cases.
InsurGPTTM is constantly learning and improving through each human interaction at a pace you alone can’t build
InsurGPTTM - exclusively available to Roots Automation Customers - is delivering real benefits.
A national Third-Party Claims Administrator (TPA) sought to standardize claim setup and document handling processes while servicing the varying needs of carrier partners and customers.
Traditional hard-coded rules, decision logic, and templates failed to effectively factor for document complexity and the idiosyncrasies of carrier partner/customer special account instructions.
InsurGPTTM allowed the TPA to work with non-standard instructions and documents within the FNOL process, resulting in greater accuracy without requiring a change to the underlying process.
42% of companies are making significant investments into GPT technology in 20231 in areas such as:
Process large volumes of unstructured data held within Commercial submissions, then pass structured data into your raters and underwriting systems so that your Underwriters can produce quotes faster and more frequently.
Identify and surface potential coverage underrepresentation contained in email correspondence, to ensure you are properly pricing a policy.
Accurately analyze and output succinct summaries to your claims adjusters and systems, to keep your customers and claimants up to date without burdening your adjusters.
Identify and alert adjusters to time-limited demands contained within any large-volume correspondence, improving speed to evaluation and negotiation.