Fraud Detection Copilot (Agentic AI)

What we enabled?

• AI detection of suspicious transactions. 

• Automated generation of case summaries.

• Analyst assistant for fraud investigation steps. 

• Prioritization of high-risk alerts. 

  
  

How we did it?

• Trained anomaly detection ML on transaction data.

• Built agentic AI to orchestrate investigation steps. 

• Used GenAI to produce case explanations

• Integrated tool into fraud monitering system

Tech Stack

• ML anomaly detection (Python, scikit-learn) 

• LLMs for summaries

• LangChain Agents for workflows

• Cloud-native pipeline on AWS

What we achieved?

• 60% faster fraud investigations

• 40% more cases closed per analyst

• 25% improvement in detection accuracy

• 15% reduction in false positives