Global Tier-1 Financial Institution
Autonomous AML Investigation Agent
Investigation Speed95% Reduction
Cost Saved$2.4M /yr
False Positive Reduction48% Improvement
The Challenge
Operational bottlenecks &
regulatory friction.
The bank was overwhelmed by high volumes of AML alerts, with manual investigations taking an average of 14 hours per case. They faced increasing regulatory pressure and high operational costs due to a 90% false-positive rate.
The Solution
Multi-agent architecture with
deterministic parallel flows.
We deployed a multi-agent AI system where specialized agents handle data collection, transaction lineage analysis, and risk scoring in parallel, mimicking the workflow of a senior financial investigator.
1
Integrated 14 legacy data silos into a unified vector store.2
Engineered 'Investigator Agents' with deterministic reasoning chains.3
Implemented a human-in-the-loop (HITL) final verification layer.4
Deployed 24/7 automated alert triaging into the bank's SOC.Business Impact
Documented ROI Metrics
14h to 20m
Average investigation time per alert
Zero
Missed high-priority compliance risks
$200k
Monthly operational overhead reduction
Tech Stack
CrewAIPythonGPT-4oPostgresn8n
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