Insurance Claims Intake Workflow: FNOL to Adjuster-Ready in Minutes
First notice of loss arrives by phone, email, portal and app, and the first day is spent creating the record, verifying coverage and deciding who handles it. The workflow captures the claim from any channel, extracts the facts, verifies the policy and coverage, triages severity and fraud indicators, fast-tracks simple claims toward settlement, and assigns complex ones to the right adjuster with a complete file and an acknowledgement already sent to the claimant.
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 11, 2026
The problem
Claims sit in an intake queue for days. Adjusters spend their first hours on data entry and coverage lookups. Simple claims get the same handling as complex ones, and claimants hear nothing until an adjuster calls.
What changes when it runs
Every claim has a record, a coverage check and a severity score within minutes. Claimants get an acknowledgement with their claim number and what happens next. Simple, low-value claims move to a fast track; complex claims reach the right adjuster with the facts, the policy sections and the fraud indicators already assembled.
Trigger, then 8 steps
Trigger
Claims inbox, portal webhook, call transcript
Emails to claims@, portal and app submissions via webhook, and call-centre transcripts from the telephony platform.
Capture the notice
WebhookFrom email, portal, app or call transcript: claimant, policy number, date and place of loss, description, attachments (photos, police report, invoices).
Extract the facts
Information ExtractorLoss date, cause, location, parties involved, injuries, property damaged, estimated amount, witnesses, and a structured description — with confidence per field.
Verify policy and coverage
HTTP RequestPolicy status on the loss date, coverages and limits, deductible, endorsements and exclusions relevant to the cause of loss, from the policy admin system.
Triage severity and complexity
CodeRules on estimated amount, injury involvement, liability questions, multiple parties and coverage ambiguity produce a severity tier and a complexity flag.
Screen fraud indicators
AI AgentChecks for known indicators — loss shortly after inception, inconsistent narrative, prior similar claims, unusual claimant behaviour — and lists what it found with the evidence; it flags, it does not decide.
Route
SwitchFast track: low severity, clear coverage, no indicators → straight-through estimation or a desk adjuster. Standard: assigned by line, territory and workload. Complex/SIU: senior adjuster or special investigations with the file.
Acknowledge the claimant
GmailClaim number, what was received, what is needed next and who will contact them, drafted by the agent in plain language and sent after a human click for complex claims.
Create the file and assign
HTTP RequestClaim created in the claims system with the extracted data, documents, coverage summary, severity and indicators; adjuster assigned; intake-to-assignment time tracked.
Data it touches
- Claims channels (email, portal, app, call transcripts)
- Policy admin system (coverage verification)
- Prior claims history
- Claims management system
- Fraud-indicator rules and SIU referral criteria
Guardrails
- Coverage determinations and claim decisions are made by adjusters; the workflow verifies and summarises.
- Fraud indicators are flagged with evidence for SIU review, never used to deny or delay a claim automatically.
- Claimant communications are approved by a person for complex or injury claims.
- Every automated step is logged on the claim file for regulatory audit.
The first hour decides the claim's cost
Claims that are acknowledged quickly, assigned correctly and handled at the right level cost less and close faster; claims that sit in a queue accumulate frustration, attorney involvement and leakage. Intake automation attacks exactly that first hour: the record exists, coverage is checked, severity is known and the claimant has heard from you before an adjuster would previously have seen the file.
Fast track without cutting corners
A large share of claims — glass, minor property, low-value auto — have clear coverage, low amounts and no indicators. Routing them to a fast track with straight-through estimation or a desk adjuster is how carriers get cycle time down for everyone else. The workflow's triage rules identify them from the extracted facts and the coverage check, and the rules are the carrier's, versioned and reviewed.
Fraud screening that stays on the right side of the line
The screening step looks for the indicators SIU teams already use and lists what it found, with the evidence, on the file. It does not score the claimant, deny, or delay. That separation — flag for a human, never act — is what regulators expect and what keeps the automation defensible.
Tools in the stack
| Tool | Role in this workflow |
|---|---|
| n8n | Multi-channel intake, extraction, triage, routing |
| Claude | Fact extraction, indicator screening, claimant communications |
| Claims system (Guidewire ClaimCenter, Duck Creek, Snapsheet, in-house) | Claim file of record |
| Policy admin | Coverage verification |
| Telephony (Five9, Talkdesk) | Call transcripts |
Want this running without building it?
Automation workflow
$297/month
We set up, host and maintain this workflow on n8n and connect it to your tools. Setup included, cancel monthly, you keep the JSON.
Custom build
$8,000–15,000 one-time
Your systems, your rules, your edge cases. A one-off build on Claude and n8n, delivered with documentation and a walkthrough.
The subscription handles one line and email/portal channels up to 500 claims a month with the file delivered to a queue. Claims-system integration, call transcripts and straight-through estimation are a custom build.
Frequently asked questions
Can it settle simple claims automatically?
Straight-through estimation and settlement for defined low-value claim types is possible as a custom build with explicit authority limits, and many carriers start with fast-track assignment to a desk adjuster instead.
How does it handle phone-reported claims?
Call transcripts from the telephony platform are processed like any other channel; the extraction handles conversational narratives. Live-call AI intake is a separate voice-agent build.
Is it compliant with claims-handling regulations?
The workflow supports compliance: acknowledgements within required timeframes, full audit logs, and human decisions on coverage and fraud. Jurisdiction-specific timeframes and notices are configured per state or country.
Case study
AI Insurance Agent for a Regional Carrier: 45% Faster Claims Processing
How a regional P&C carrier used an AI insurance agent to automate FNOL intake and simple claims adjudication—cutting average claims cycle time by 45%.
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The pillar
AI Insurance Agent
Automate claims processing, underwriting, policy management, and customer communication for insurance.