AI claims agents for P&C and auto carriers — from FNOL to drafted settlement.

Carriers burn 10 to 15 cents of every claim dollar on adjudication — most of it routine document reading. We build a production agent that reads the first notice of loss, verifies coverage, and drafts the settlement for your team to approve.

What the agent actually does.

A production agent that reads a claim and drafts the settlement — with adjusters on the exceptions.

Workflow

How the agent runs

First notice of loss to a payment-ready package, every step eval-gated.

1
Read FNOL
2
Verify coverage
3
Assess damage
4
Draft settlement
Evaluation

Proven, not promised

Benchmarked against adjuster decisions before it touches a live claim.

96%
ILLUSTRATIVE — NOT CLIENT DATA96% eval target.
eval pass rate on routine claims
Inputs

Reads every source

Forms, images, and reports — structured and unstructured.

FNOLPolicyPhotosPolice reportRepair estimate
Output

Structures the data

Extracts the facts of loss and structures them for the adjuster.

ClaimantT. Okafor
CoverageVerified
Reserve$4,820
Decision

Decides with evidence

A documented recommendation the adjuster approves.

Recommended settlement
$4,820.00
Coverage confirmed
Exclusions checked
Liability assessed

Adjudication is a tax on every claim you pay.

Loss-adjustment expense runs 10 to 15 cents on the dollar, and most of it goes to reading documents, not making decisions. The agent takes that routine review off your adjusters and drafts the settlement for approval.

$0.10–$0.15
spent on adjudication per claim dollar
FNOL→Offer
agent reads the claim and drafts the settlement
~80%
of routine claim review is automatable
1
workflow owned end-to-end

Routine claims clear themselves, adjusters handle the judgment.

Adjusters spend their day reading FNOLs and re-keying coverage details before they ever make a decision. The agent absorbs that work. Routine claims flow straight through to a drafted settlement, and your people handle negotiation, edge cases, and the contested claims where judgment pays off.

  • Adjusters handle exceptions and judgment calls, not data entry
  • Straight-through processing for routine claims, faster cycle times
  • Consistent reserving and documentation across every adjuster
  • Full audit trail and evaluation framework for regulators
The ROI

A few points off the $0.10–$0.15 adjudication cost per claim dollar is worth millions a year. Faster settlements lift policyholder retention, too.

Common questions, answered.

01

What claims can an AI agent process?

Routine, high-volume P&C and auto claims — where the FNOL, photos, estimates, and reports follow predictable patterns. The agent reads them, verifies coverage, and drafts a settlement for adjuster approval; complex or contested claims are routed to humans.

02

Does AI claims automation replace adjusters?

No. It removes the document-reading and data-entry burden so adjusters focus on judgment, negotiation, and exceptions. Straight-through processing handles the routine volume that clogs queues.

03

How much can carriers save?

Carriers spend $0.10–$0.15 of every claim dollar on adjudication. Automating routine review meaningfully reduces that loss-adjustment expense while speeding cycle times and improving consistency.

04

Is it compliant and auditable?

Every decision is documented and cited, with an evaluation framework and human-in-the-loop controls from day one — designed for regulatory scrutiny and fair-claims requirements.

Related reading

Go deeper: AI Claims Processing: How P&C Carriers Cut Adjudication Costs

Where adjudication cost hides, how an agent runs FNOL to settlement, and what to expect from a production deployment.

Ask about the 2-week audit

Tell us if AI claims processing is worth owning.

In a two-week audit we map your claim volume, the loss-adjustment expense you're carrying, and exactly where an agent pays for itself. You get back a build plan, not a pitch.

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