Automated First Notice of Loss (FNOL) & Emergency Claim Intake in Insurance

A national property and casualty insurance carrier receives thousands of emergency policyholder calls during natural weather events.

claim intake response time cut: 45 minutesclaim intake response time cut
FNOL intake capacity during catastrophic storm events without: 100%FNOL intake capacity during catastrophic storm events without

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

Storm events trigger sudden 10x call volume spikes, overwhelming human claims adjusters.
Distressed policyholders face long hold times to report urgent water damage, roof leaks, or vehicle collisions.
Manual FNOL claim entry errors during high-stress call queues delay emergency adjuster dispatches by days.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Vakyam answers emergency calls on the first ring, demonstrating empathetic, structured conversational intake.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Claim intake response time cut from 45 minutes of hold time to instant immediate response.
100% FNOL intake capacity during catastrophic storm events without dropping policyholder calls.
Accelerated emergency relief dispatches, improving customer trust during critical moments.

Capabilities this relies on

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