A submission lands in an underwriter's inbox: a commercial property risk, a 40-page application, three years of loss runs attached. Somewhere in a shared drive is the underwriting guideline that governs how this account gets evaluated. Getting from those two documents to a structured audit means the underwriter opens both, reads through the guideline to reconstruct the checklist, and then works back through the submission to map each check manually. 

The audit starts when you forward the email

Forward the underwriting guideline and the submission into FurtherAI, and the AI agent takes over the preparation. It classifies both documents, extracts every check directly from the guideline, and maps each one against the relevant section of the submission. The output is a complete audit: every guideline rule lined up against what the submission says, with a status on each check and a citation back to the exact source it was drawn from. When a finding gets questioned in a peer review or a compliance conversation, the trail is already there. And the best part is that the underwriter didn't have to build it manually, the workflow built it automatically as it ran.

The judgment that was buried under prep work becomes visible

What the AI agent surfaces isn't a score or a summary, it's a structured view of exactly where the submission holds up and where it doesn't, grounded in the guideline the team already uses. By the time the underwriter opens the output, the context that would have taken an hour to assemble is already there: every check documented, every flagged item surfaced, and every citation traced back to its source. What remains is the part of the job that actually requires an underwriter.

The findings keep working after the audit closes

Once the audit runs, the workflow doesn't end there. Ask our Assistant follow-up questions directly: pull more context on a flagged item, probe a specific check, or have it turn the full findings into a deck for the next account review. Everything stays inside the same workflow, attached to the same audit, so nothing needs to be rebuilt when the team comes back to it.

Curious what this looks like for your team's guidelines and submissions? Let's chat.

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DISCLAIMER 

This article is for general informational purposes only and does not constitute legal, regulatory, compliance, underwriting, or other professional advice. The content reflects information available as of the date of publication, and FurtherAI undertakes no obligation to update it as laws, regulations, or AI technologies evolve.