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Bevaya AI Agent Library
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Automating Property FNOL Processing with Bevaya
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Automating Property FNOL Processing

See how a P&C carrier automated property FNOL — saving thousands of hours and freeing adjusters for high-value work.

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More resources on AI in Premium Audit Processing

Case Study - claims
Research

Page stream segmentation with LLMs

How Bevaya Labs approaches a foundational problem in insurance document AI.

Case Study - claims
Case Study

Workers' comp carrier processes claims 100x faster

How indexing automation delivered 432% ROI in 12 months.

2026.06.02-library-webinar-registration-how-to-establish-clear-ai-ownership-in-your-insurance-organization
Architecture

Inside the Bevaya platform architecture

How specialized models, HITL controls, and integrations come together in production.

How Loss Run Processing works · Bevaya
AI Agent · Underwriting

How the Loss Run Processing AI Agent Works

It reads every loss run in the submission, reconciles the multi-year history, and surfaces the claims that move the price.

Read and reconciled on arrival
Every format read, the insurance math run, valuation dates aligned across carriers.
Flagged for the underwriter
$214,800Source attached
Open auto liability claim, reserves still developing
Minutes / submission The price-mover caught
Read by hand, one carrier at a time
Carrier, TPA, and broker loss runs, each in its own format.
Carrier loss run
TPA loss run
Broker summary
Faxed scan
5–60 min / submission The price-mover slips through
Before Bevaya With Bevaya
Deep Dive

Review the Tasks AI Can Drive

A closer look at each task in loss run processing, and where Bevaya does the work alongside your team.

Example Loss Run Task Flow

Handling time 5–60 min
Your teamBevaya AI Agent
Receive the Loss Runs
Classify the Documents
Read the Loss Runs
Apply the Insurance Math
Reconcile the History
?
History
Clean?
If No
Resolve the Flags
Surface the Price-Movers
Draft the Loss Summary
Write to the Workbench
Deliver the Loss History