Glossary
First Notice of Loss (FNOL)
FNOL is the insured's initial report of a claim event—the trigger that opens a claim file, activates coverage verification, and sets routing for triage, investigation, and adjudication.
What is First Notice of Loss?
First Notice of Loss (FNOL) is the moment a policyholder or third party notifies the carrier that a covered event occurred. FNOL captures who was involved, when and where the loss happened, initial damage descriptions, and contact details. Carriers treat FNOL as the operational start of the claims lifecycle because it determines policy lookup, reserve establishment, and regulatory reporting clocks.
Why does FNOL quality matter for straight-through processing?
Incomplete FNOL narratives force manual follow-up, delay routing decisions, and increase loss adjustment expense. High-quality FNOL includes consistent facts, evidence inventory, and policy identifiers that downstream systems can validate automatically. ClaimGPT's run_fnol_triage tool scores completeness and recommends FAST_TRACK or COMPLEX_ADJUDICATION routing based on structured signals rather than adjuster intuition alone.
How does ClaimGPT orchestrate FNOL triage?
ECO-AI verifies policy status, runs fraud analytics on the narrative, estimates TIP and litigation exposure, and surfaces missing documents in a single orchestrated response. Licensed adjusters retain authorization over binding reserves and status changes while the co-pilot prepares structured next steps inside ChatGPT.
Frequently Asked Questions
- How does ClaimGPT help with First Notice of Loss (FNOL)?
- ECO-AI invokes governed MCP tools for triage, policy lookup, fraud analytics, document extraction, and draft communications inside ChatGPT.
- Do AI recommendations replace licensed adjusters?
- No. Binding reserves, status updates, and outbound communications require explicit adjuster authorization.
- Where can I connect ClaimGPT?
- Visit /developer for ChatGPT MCP setup or /enterprise for architecture review with your integration team.