Invoice Processing using AI Agents
Multi-agent AI system automating invoice workflows using asynchronous pipelines and intelligent routing.
Tech Stack
Problem Statement
Manual invoice processing is time-consuming and error-prone, requiring intelligent automation for extraction, validation, and routing.
System Architecture
Designed a multi-agent system where each agent handles specific tasks such as extraction, validation, and routing. Coordinated through asynchronous FastAPI pipelines.
Approach
Implemented planner-executor style agents to process invoices step-by-step. Focused on modular design for extensibility and fault tolerance.
Implementation Details
Developed FastAPI backend managing agent workflows, integrated document parsing logic, and built a Streamlit dashboard for monitoring system state and debugging.
Challenges & Solutions
Coordinating multiple agents, ensuring fault tolerance, and maintaining low latency in asynchronous workflows.
Results & Impact
Reduced manual processing effort and demonstrated scalable automation of document workflows.
Key Learnings
Gained insights into agent-based architectures, workflow orchestration, and real-world automation challenges.