Financial Services · Demo Insurance Client

Automating claims triage with a production AI agent

-71%

Manual triage time

58%

Straight-through processing

96%

Reviewer accuracy agreement

Challenge

Claims intake was a manual bottleneck, with experienced staff spending most of their time on routine triage instead of complex decisions.

Approach

We built a retrieval-augmented pipeline over historical claims data, paired with an agent that extracts structured fields, flags anomalies, and hands off uncertain cases to a human reviewer.

Implementation

Rolled out to a single claims category first, with full evaluation and guardrails, before expanding coverage.

Outcome

Routine claims are now triaged automatically, with specialists focused on the cases that need judgment.

Technologies

PythonOpenAILangGraphAWSPostgreSQL

Reference architecture

Ingestion Pipeline
Vector Store
LLM Agent
Human Review Queue
Audit Log

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