How does AI improve the FNOL (first notice of loss) process in insurance?

AI transforms the FNOL process by ensuring that every claimant is answered immediately regardless of call volume, that every required data field is collected consistently, that emergency situations are routed to the right specialist without delay, and that the claims system is updated in real time rather than from a paper or voicemail record.

The traditional FNOL process is often the claimant's first post-incident contact with their insurer, a moment of high stress and high importance for the customer relationship.

AI ensures this interaction is fast, clear, and professional regardless of when it happens or how many other claims are being processed simultaneously.

For example, an insurance company's FNOL process averages 14 minutes per call when handled by human agents, with an average data completeness score of 69 percent.

After deploying Televanta, FNOL calls average 6.8 minutes, data completeness improves to 97 percent, and emergency routing happens within 90 seconds of the call starting.

Customer satisfaction scores on the FNOL interaction improve significantly despite the transition to AI, primarily because the wait time for first response falls from an average of 12 minutes to zero.

A home insurance carrier experiences a mass flooding event affecting 2,400 policyholders.

Within the first 24 hours, 1,800 FNOL calls are received.

Televanta handles every call simultaneously, collects structured intake data for all 1,800 claims, routes the 340 emergency property situations to the field response team immediately, and provides every claimant with a reference number and next steps within minutes of their call.

The carrier's claims leadership reports it is the best-managed mass loss event in the company's history from an intake process perspective.