First-notice-of-loss in under 4 minutes at a life insurer — empathetic voice AI
First-notice-of-loss calls at a life insurer averaged 14 minutes and often required beneficiaries to repeat traumatic details across three teams. pronix.ai launched an empathetic voice AI for FNOL intake — 4-minute complete capture, warm hand-off on any distress signal and 100% policy-verified data downstream.
- Client
- Top-20 US life insurer
- Industry
- Insurance
- Platform
- Genesys Cloud CX · AWS Bedrock · Salesforce Financial Services Cloud
*Representative outcome; results vary by client, scope and platform configuration.
The challenge
Bereaved beneficiaries were being routed across teams, retelling the same story. Every re-tell produced negative NPS and delayed the actual claim. The industry answer — a longer script — made it worse.
Our approach
Empathy-first voice design
Voice, pacing and prompts co-designed with grief counselors — the agent led with acknowledgement, not verification.
Distress-signal hand-off
Real-time distress detection escalated to a human specialist within one turn — never mid-question.
Policy-verified capture
All required FNOL fields validated live against the policy admin system — no downstream rework.
One-and-done bereavement kit
At close, the agent scheduled the beneficiary services callback and emailed the document checklist — no repeat contact required.
Human review of every call
Every FNOL call reviewed by a quality analyst for the first 90 days — feedback re-trained empathy and hand-off thresholds.
“The first call after a loss sets the entire relationship. This is the first version of that call I would want my own family to hear.”
Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.
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