Use Case

Autonomous Claims Processing and Fraud Detection Agent

October 12, 2023
April 9, 2026
8 min read
40
min read
Data visualization and AI network
85%Reduction in manual data entry time
60–80%
faster claims settlement
3.2xIncrease in underwriting throughput
40–60%
reduction in fraud losses
100%Sovereign data compliance maintained
Significant
improvement in customer satisfaction

Insurance claims processing is labour-intensive, error-prone, and vulnerable to fraud. This autonomous multi-agent system handles the entire journey from intake to settlement with built-in fraud detection.

The Challenge of Slow and Fraud-Prone Claims Handling

Before implementing Singularity IO's agentic platform, underwriting teams spent up to 40% of their time manually extracting data from PDFs, emails, and legacy systems. This not only slowed down the quotation process but also introduced the risk of human error in critical risk assessment models.

Business Challenge
Insurance claims processing is labor-intensive, prone to errors, and vulnerable to fraud, often resulting in delayed payouts and higher operational costs.
How Agentic AI Helps
An autonomous multi-agent claims system can handle the entire process from intake to settlement with built-in fraud detection and human escalation only when necessary
Detailed Automated Business Process
The Intake Agent receives and classifies claims. The Verification Agent extracts and validates data. A dedicated Fraud Detection Agent analyses patterns and flags suspicious cases. Approved claims are processed and paid automatically, with full audit trails maintained throughout.
Potential Business Impact
Faster claims settlement, reduced fraud losses, and significantly lower operational costs while improving customer satisfaction.
Key Takeaways

Implementation Stack

LangGraphLlama 3 (Self-Hosted)ExoscalePostgreSQLn8n

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Measurable Impact

How Singularity's sovereign agentic workflows transformed operations and delivered concrete ROI for this implementation.

85%
3.2x
$1.5M
99.9%
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