When a claims adjuster’s note says “possible pre-existing condition” - that’s not a field in a database. It’s a signal.
And if it takes a human to catch it every single time, at scale, inconsistency is inevitable.
But interpreting the document is only half the job.
The real shift happens when AI agents go beyond what’s on the page - pulling in third-party data like fraud databases, public records, credit signals, medical histories, and external risk feeds to validate, contextualize, and challenge what the adjuster wrote.
That’s how a single note becomes a 360-degree decision. Faster claims. Sharper underwriting. Fewer missed risks.
Here’s a detailed look at how it works: How AI Agents Turning Unstructured Data into Insights