Not based on a specific customer deployment. The company, figures, decisions, and outcomes below are a constructed example that shows how Intended’s mechanism applies to this kind of problem. They are not measured results from a named customer. Where we publish a real, attributed customer outcome, we will say so explicitly.
Governing AI Claims Processing While Keeping Compliance
Consider an insurance carrier whose AI agents handle claims triage, damage assessment, coverage verification, payment calculation, and customer communication across auto, property, and liability lines.
01 · the challenge
The kind of problem this addresses.
02 · how it works
See the difference.
Claim filed: auto collision
Claim #CLM-2026-18422, estimated $12,000
AI triages and assesses
No governance on assessment methodology
AI calculates payment
$11,400 -- no coverage verification
Payment issued without review
Later found: policy had $5K deductible not applied
03 · the solution
What they deployed.
- — Installed Insurance Operations domain pack with claims, underwriting, and payment intents
- — Mandatory coverage verification step before any AI payment calculation
- — Thresholds: auto-approve claims < $10K with standard coverage, escalate complex or high-value
- — Regulatory documentation generated automatically for every claims decision
- — Connected claims management system, policy admin, and payment processing platforms
04 · implementation
From zero to governed.
Week 1
Map
Catalogued all AI claims processing steps. Identified 6 AI agents across triage, assessment, coverage, payment, and communication.
Week 2
Configure
Installed Insurance Ops pack. Defined coverage verification rules, payment thresholds, and escalation criteria by line of business.
Week 3
Integrate
Connected claims management, policy administration, and payment systems. Configured adjuster notification workflows.
Week 4
Enforce
Enable enforcement. Straightforward claims can flow triage-through-payment automatically while complex or high-value claims escalate.
05 · illustrative outcomes
What this is designed to deliver.
Modeled figures for this scenario — what the workflow above is built to achieve, not measured results from a named customer.
0%
Payments coverage-verified
Coverage check enforced before any payout
0%
Claims decisions documented
Regulatory evidence generated per decision
0%
High-value claims escalated
Routed to an adjuster by policy
0
Policy tiers
Auto-approve, escalate, deny
06 · decision replay
Example decisions, full trace.
Sample decision records that show the shape of the evidence Intended produces. Illustrative, not drawn from a live customer’s logs.
insurance.claims.triage-assessmentRISK: 28/100ALLOW34msAuto collision claim #CLM-2026-18422, 3 photos submitted, estimated $12,000
Resolved by: Policy: standard triage auto-approved, assessment proceeds
insurance.claims.coverage-verificationRISK: 12/100ALLOW22msVerify policy #POL-88421 coverage for auto collision, $5K deductible confirmed
Resolved by: Policy: coverage verification auto-approved (standard lookup)
insurance.claims.payment-calculationRISK: 38/100ALLOW18msCalculate payout: $12,000 damage - $5,000 deductible = $7,000, within policy max
Resolved by: Policy: auto-approve payment < $10K with verified coverage
insurance.claims.payment-calculationRISK: 78/100ESCALATE24msProperty claim #CLM-2026-18445: water damage, AI assessment $145,000
Resolved by: Senior Adjuster (on-site inspection scheduled, reviewed in 2.5 hours)
insurance.claims.fraud-flagRISK: 94/100DENY14msAI flags claim #CLM-2026-18448: duplicate submission detected, same damage photos
Resolved by: Policy: auto-deny duplicate claims, SIU notified
the takeaway
Faster claims only help if quality holds. Enforcing coverage verification before every payment calculation — and recording it as evidence — is what prevents the assessment and deductible errors that drive regulatory findings, while still letting routine claims move quickly.
Why this pattern matters — not a customer quote.
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