ProcureMind OS™: Agentic Procurement Architecture — From Proof-of-Concept to Enterprise Production (v2.0)

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Authors: ganesh prasad bhandari
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Decision Support System Applications Artificial Intelligence Applications Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 April 2026
Language
EN