AI systems for insurance.
The workflow pattern we see in this industry, and what we would build for it.
01
Submission arrives
ACORD forms, loss runs, and schedules land in the underwriter's inbox. Someone re-keys the data.
02
Data structured
The underwriter spends the day gathering and structuring submission data instead of selecting risk.
03
Risk priced
Pricing leans on experience and whatever comparables come to mind. Consistency varies by desk.
04
Quote chased
Missing information goes back and forth by email. Submissions stall in inbox queues and bind windows close.
A submission intake agent.
An agent that reads inbound submissions, structures the data, scores fit to appetite, and surfaces comparable bound risks for the underwriter. Built with the explainability and audit logs state regulators expect. Underwriters keep the final say on every risk. The agent removes the data prep, not the selection.
10 to 14 weeks from kickoff to a live production system. We stay through adoption.
Eval harness
Checks agent outputs against a test set before release.
Reliability gates
Hard checks the system must pass before it ships.
Live production system
The working system in your stack, not a report.
Adoption Mile
To the 70 percent weekly-active bar by day 90.
Underwriter time spent gathering data
About 60 percent
IllustrativeSubmission handling time, manual intake
Hours per file
IllustrativeBind ratio lift from faster quote turnaround
Varies by line
Illustrative
Ranges are industry observations for orientation. They are not ClearForge results. Our results live on the proof page.
See the proofStart where every engagement starts. The fixed-fee Diagnostic maps this workflow on your underwriting desk in 2 weeks.
Starting point · Forge Diagnostic