70% Faster Claims Resolution:
Multi-Agent AI for Insurance
How an insurance firm slashed claims cycle time from 14 days to under 3 days with a multi-agent agentic system built by Usmart Technologies.
14-Day Claims Cycle Killing Satisfaction
A mid-market insurance firm processing auto, home, and commercial claims was drowning in cycle time. The average claim took 14 days from filing to resolution — far above industry benchmarks and a primary driver of policyholder churn.
Adjusters were manually cross-referencing information across siloed systems — policy databases, medical records, repair estimates, weather data, and fraud watchlists. Each claim required toggling between 5-7 different tools, copying data between screens, and making judgment calls with incomplete information.
Fraud detection was reactive, not proactive. Suspicious claims were often identified only during late-stage review, leading to costly payouts that could have been flagged earlier. The firm needed an intelligent system that could research, reason, and act across these siloed systems simultaneously — while keeping human adjusters in the loop for complex decisions.
Pain Points
- ● 14-day average claims cycle (industry benchmark: 5 days)
- ● Adjusters toggling between 5-7 siloed systems per claim
- ● Manual cross-referencing causing errors and delays
- ● Reactive fraud detection missing early signals
- ● Policyholder churn driven by slow resolution times
The Three Agents
Retrieves and synthesizes information from policy databases, medical records, repair estimates, weather data, and historical claims using retrieval-augmented generation.
Evaluates claim validity, checks for fraud indicators, cross-references claimant history, and generates a confidence-scored recommendation with full reasoning chain.
Executes approved payouts, generates denial letters with regulatory-compliant language, escalates flagged claims to senior adjusters with full context packages.
Multi-Agent Agentic System
Usmart Technologies designed and deployed a multi-agent agentic system composed of three specialized AI agents that work in concert to process claims end-to-end. Each agent handles a distinct phase of the claims lifecycle — research, reasoning, and action — creating an intelligent pipeline that mirrors and accelerates the human adjuster workflow.
The Research Agent uses retrieval-augmented generation (RAG) to gather and synthesize all relevant information from across the firm's siloed systems in seconds. The Reasoning Agent evaluates claim validity, checks for fraud indicators, and produces a confidence-scored recommendation with a full reasoning chain. The Action Agent executes the approved outcome — processing payouts, generating compliant correspondence, or escalating to human adjusters.
Every decision is logged with complete audit trails. Claims flagged for potential fraud or ambiguity are routed to senior adjusters with pre-assembled context packages, reducing their review time from hours to minutes.
From 14 Days to Under 3
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