Claims intake and FNOL automation
We capture claim lodgements and claim files from any channel, classify the documents, extract the data, and open the claim in your system. Clean intake is where leakage starts to close.
We capture claim lodgements from any channel, classify the documents, extract the data, and open the claim in your system.
Deeply trusted by enterprises globally
Leakage, the money lost to manual error and missed detail, runs 7% to 14% of claims spend in global property and casualty benchmarks.
Claims take 42% of a typical home premium and operating expenses take another 16%. Manual document work inflates that expense line.
Generative AI is expected to cut total leakage by 30% to 50%.
Every week your people process claim files, broker submissions, and the documents attached to them. Claims handling is the biggest cost you carry, and manual document work inflates it.
The documents in scope
Share of claims spend lost to leakage
Share of a typical home premium taken by claims
Expected reduction in total leakage from generative AI
Start where the backlog is visible and the cost is measurable. The same agents cover the adjacent work once the first one is live.
We capture claim lodgements and claim files from any channel, classify the documents, extract the data, and open the claim in your system. Clean intake is where leakage starts to close.
We check every claim file and broker submission for completeness on lodgement, flag what is missing, and clear the back-and-forth that stalls a file.
We read insurer proposal forms, statements of value, and claims histories, structure the data, and speed the path to quote.
We read demand packages, medical bills, and legal correspondence, summarise them, and route them to the loss adjuster.
We generate certificates of currency, endorsements, and policy documents, then file them where your team needs them.
Senior engineers map your document workflow and find the highest-return automation. They redesign the workflow around AI-first processes, then build the automation into it.
We deploy AI agents from a library built across 100+ production projects. Tailoring a proven agent to your documents takes weeks. Building one from scratch takes months.
We run the system after launch. We monitor accuracy, handle exceptions, and keep the integration to your systems of record current.