How can AI automate insurance claims intake?

AI agents handle insurance claims intake by collecting all required FNOL (first notice of loss) information in a structured conversation, policy number, claimant details, date and location of the incident, description of what happened, third parties involved if applicable, and any immediate assistance required.

This information is collected, validated, and logged to the claims management system automatically, with a case reference generated and communicated to the claimant before the call ends.

The AI ensures every field is collected consistently regardless of the claimant's emotional state or the complexity of the incident described, routing calls requiring immediate field assistance or investigation to the appropriate specialist immediately.

For example, a home insurance company deploys Televanta for FNOL handling after a major storm event.

Over 800 policyholders call within 48 hours.

Televanta handles every call simultaneously, collects structured FNOL data for all 800 claims, assigns reference numbers, and routes the 47 calls requiring emergency property response to the claims team with priority flags.

The claims adjusters arrive Monday morning with 800 fully structured cases rather than 800 voicemail recordings.

A motor insurance broker deploys Televanta to handle all initial accident claim calls.

The AI collects the structured FNOL data, checks the policy status in real time, provides the claimant with their reference number and next steps, and routes cases involving injury or third-party damage to a senior claims handler immediately.

The broker reduces claims intake processing time by 68 percent and improves data completeness scores from 71 percent to 96 percent because the AI always collects every required field.