Agentic AI Orchestration powers real-time fraud detection system

This article details the architecture of a production-ready agentic fraud detection system, focusing on the integration of multiple AI agents and a human-in-the-loop workflow. It emphasizes moving beyond simple model performance metrics to real-time decision-making within a trustworthy and auditable system. The system utilizes LangGraph for agent orchestration, LangSmith for tracing, and is deployed on AWS with a FastAPI backend and Streamlit frontend. AI

IMPACT Demonstrates practical application of agentic AI for real-world systems, focusing on integration and deployment challenges.

RANK_REASON Article describes a specific technical implementation and tooling for an AI application, not a new model release or core research.

Read on Towards AI →

• Agentic AI Orchestration
• AWS
• FastAPI
• GitHub
• langgraph
• langsmith
• Real-Time Transaction Fraud Detection
• streamlit

• product
• infra

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