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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