Animesh Dhole

Animesh Dhole

Animesh Dhole

ERP Applications Analyst, Independent Researcher

Title of Talk:

Governing the Autonomous Supply Chain: Applying a Maturity Framework to Agentic AI in ERP Procurement


Abstract

As enterprises move agentic AI from pilot projects into core ERP-driven procurement and supply chain workflows, adoption is outpacing the frameworks needed to govern it. Industry analysts now name decision governance, auditable autonomy, and multi-agent coordination as defining priorities for 2026 , yet many procurement organizations still lack a structured way to assess where they stand on the path from manual processes to autonomous, agent-driven operations, or how to validate agentic systems before and after they gain decision authority. This talk presents a five-level, seven-dimension maturity model for AI and agentic-AI adoption in ERP-driven procurement and supply chain systems, developed through direct implementation experience migrating a large public-sector procurement landscape. Drawing on large-scale data governance work the talk translates abstract AI-governance principles into a concrete roadmap: what to automate first, what guardrails autonomous agents need before acting independently, and how to continuously test and validate agentic behavior in production ERP environments. Attendees leave with a practical framework for benchmarking their own procurement AI maturity.


Brief Profile
Animesh Dhole is an ERP Applications Analyst/Developer specializing in applying AI and computational intelligence to large-scale enterprise procurement and supply chain systems. He currently leads technical implementation of SAP Ariba (Sourcing, Contracts, and Supplier Lifecycle & Performance), S/4HANA, and SuccessFactors for a U.S. state government's procurement modernization initiative; work that has included migrating approximately 90,000 legacy material codes, remediating over 20,500 employee records, and driving integrated testing cycles to reach 95%+ data-quality readiness for large-scale system conversions. His current research develops maturity models and continuous validation frameworks for agentic AI adoption in public-sector procurement. He holds an M.S. in Computer Science from Indiana University Bloomington and multiple SAP certifications.