AI FNOL Assistant
Turn first notice details into structured claim files.
Product
One operating layer for intake, evidence, triage, communication, and adjuster-ready briefs. Humans stay in control.
The decision circuit
Intake
Capture FNOL and evidence.
Verify
Match policy and parties.
Assess
Review damage and signals.
Route
Send to the right person.
Resolve
Brief humans can act on.
Intake-to-brief, in practice
"The primary friction point was the evidence-gathering phase; adjusters were spending 30% of their day chasing documents. Now that the dossier is pre-assembled for review, we've hit our cycle-time KPIs for the first time in three years."
AI-generated briefs are suggestions for adjuster review, not claim decisions.
Baseline brief generation
42 hours
Intake-to-brief duration
2.1 hours
Modules
Turn first notice details into structured claim files.
Summarize documents, photos, and uploaded materials.
Surface visible damage signals for review.
Prepare coverage notes from provided policy context.
Flag inconsistencies for human investigation.
Route by urgency, complexity, and review need.
Draft clear updates before customers have to ask.
Adjuster-ready summaries with evidence links.
Evidence
Insights
Next best action
Request repair estimate from approved shop.
human review requiredClaim workspace
Progress rail
See where the claim sits in the circuit.
Evidence panel
Documents and photos with provenance.
Next best action
Suggested step, never auto-executed.
Human review badge
Sensitive moves require a person.
Human in the loop
Important decisions stay with people.
Evidence-linked
Outputs cite their source.
Audit trail
Actions, edits, and approvals recorded.