MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop
Researchers have developed MADP, a multi-agent system designed to automate document processing in enterprise settings. The system combines deep learning for classification and parsing with large language models for extraction, incorporating a human-in-the-loop mechanism for validation. Initial analysis on 100,000 invoices annually suggests a potential 70% reduction in full-time equivalent requirements, with a 97% automation rate achieved on real-world documents. The system also demonstrated significant sustainability benefits, reducing CO2 emissions, energy consumption, and water usage by over 60% compared to manual processing. AI
IMPACT Automated document processing systems like MADP can significantly reduce operational costs and environmental impact for businesses.