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Case study · Insurance · Voice AI

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
By pronix.ai CX Engineering7 min readQ4 2025
14m → 4m
FNOL intake time
+41
NPS on bereavement calls
100%
Policy-verified capture
0
Compliance findings

*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

Step 01

Empathy-first voice design

Voice, pacing and prompts co-designed with grief counselors — the agent led with acknowledgement, not verification.

Step 02

Distress-signal hand-off

Real-time distress detection escalated to a human specialist within one turn — never mid-question.

Step 03

Policy-verified capture

All required FNOL fields validated live against the policy admin system — no downstream rework.

Step 04

One-and-done bereavement kit

At close, the agent scheduled the beneficiary services callback and emailed the document checklist — no repeat contact required.

Step 05

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.

Chief Claims Officer
For Chief Claims OfficerFor VP Contact CenterFor Chief Customer Officer

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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