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Insurance ROI tools

Model claims and FNOL AI value — with the leakage and control columns your second line will ask for.

P&C, life and specialty carriers, MGAs and TPAs. Every model separates automation savings from claims leakage and remediation exposure, keeps a licensed human on adverse decisions, and produces a scenario range instead of a single optimistic number.

4 insurance modelsLeakage-aware scenariosAuditable assumptionsPDF export
Calculators for this sector

Model the number your board already tracks.

Every calculator is ungated, gives conservative, base and aggressive scenarios, and exports an enterprise-styled PDF with your inputs.

Claims & FNOL
Claims & FNOL AI ROI Calculator

Straight-through processing, adjuster assist, cycle-time value and claims leakage avoided across the claim lifecycle.

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Policy servicing
Contact Center AI ROI Calculator

Voice AI, agent assist and automated QA across FNOL intake, policy, billing and endorsement inquiries.

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Underwriting ops
AI Business Automation ROI Calculator

Submission intake, document extraction and underwriting exception queues — hours and dollars returned.

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IT & finance
AI Build vs Buy TCO Calculator

Three-year TCO for an in-house AI team versus platform plus partner delivery, including hiring, attrition and time to value.

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What we model

The operating metrics that decide funding in this sector.

Straight-through processing

Share of FNOL and low-complexity claims resolved without an adjuster queue.

Cycle time value

Days removed from the claim lifecycle, valued at loss-adjustment and float cost.

Claims leakage avoided

Overpayment and inconsistent settlement caught by assisted review.

Adjuster capacity

Handle-time returned per claim, and where a licensed human must stay in the loop.

Servicing cost to serve

Blended cost per policy, billing and endorsement contact before and after automation.

Control coverage

Automated QA across 100% of contacts and decisions, modelled as risk reduction.

Insurance proof

What carriers changed once the claims model was re-priced.

Three insurance programmes where FNOL, claims and policy servicing were modelled with the same assumptions this calculator uses.

Top-25 US P&C carrier

Digital FNOL intake and low-complexity auto claims triaged automatically, with adjuster assist on the remainder.

Claims straight-through
41%

Claims straight-through

Cycle time removed
3.4 days

Cycle time removed

Payback
6.1 mo

Payback

"The leakage column is what got this approved. Savings alone would not have survived the actuarial review."

SVP Claims Operations, P&C carrier

Specialty MGA, 30+ programmes

Submission intake and document extraction automated ahead of underwriting, with exception routing to referral underwriters.

Submissions auto-ingested
62%

Submissions auto-ingested

Annualised benefit
$4.8M

Annualised benefit

Decisions logged
100%

Decisions logged

"We quote faster without loosening a single underwriting guideline, because the exceptions still route to a human."

COO, specialty MGA

Life & annuities carrier

Policy, billing and beneficiary servicing automated across voice and chat with full QA coverage.

Contacts contained
37%

Contacts contained

Cost per contact down
28%

Cost per contact down

CSAT
+11 pts

CSAT

"Full QA coverage changed the conversation with compliance from risk to control."

Head of Customer Operations, life carrier

Client names withheld under NDA. Outcomes are measured programme results, not calculator projections.

Validate the claims or servicing business case with a risk-aware team.

Bring your claim volumes, lifecycle data or servicing contact mix. In 30 minutes we test the assumptions with you, map the controls your second line will require, and outline a 90-day path to a production-ready pilot.

Questions we get

Before you build the business case.

What claims metrics drive the insurance model?

Straight-through processing rate, adjuster assist time saved, cycle-time value and claims leakage avoided across the claim lifecycle — not a flat headcount reduction.

How is claims leakage valued?

As overpayment and inconsistent settlement caught by assisted review, priced on your own average indemnity and loss-adjustment expense rather than an industry benchmark.

Are these models defensible to compliance and the second line?

Yes. Adverse decisions keep a licensed human in the loop, automation savings stay separate from risk-and-remediation exposure, and every assumption is editable and exportable.

Do the models cover policy servicing as well as claims?

The contact center model covers FNOL intake, policy, billing and endorsement inquiries, so you can build the servicing case alongside the claims case with consistent assumptions.