ProcureMind OS™ is a production architecture blueprint for autonomous procurement intelligence that integrates specialist AI agents, a relational knowledge graph, hybrid retrieval (vector + keyword + graph), an evaluator/guardrail quality gate, and a human-in-the-loop governance checkpoint before ERP execution. The architecture is presented as a design synthesis grounded in established patterns from retrieval-augmented generation and multi-agent orchestration, with explicit scope boundaries: it does not claim novel algorithmic contributions. Performance targets (e.g., sub-500ms decision cycles) are stated as design assumptions achievable under controlled infrastructure conditions and must be validated per deployment environment and integration profile. The goal is to provide enterprise practitioners an implementation-grade reference to evaluate feasibility, scope build effort, and operational governance before committing to production.
Ganesh Prasad Bhandari Ganesh (Wed,) studied this question.