How C3 AI Automated Invoice Triage Under SOX Controls
This post details the implementation of an AI agent for automated invoice triage within a Sarbanes-Oxley (SOX) compliant environment. It highlights the design trade-off between probabilistic AI agents and deterministic SOX controls, emphasizing the need for a comprehensive audit trail. The system architecture uses two specialized agents (PO Matching Agent and Invoice Matching Agent) to handle complex matching logic, with deterministic tools for other tasks. Key learnings include the importance of keeping a human in the loop, prioritizing misses over incorrect posts, and building trust through real transactions and demonstrable audit trails. The post describes the six-phase pipeline and the agent's reasoning process, including how it generates structured invoices and posts them via API.
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