From Rules to Reasoning: Agentic AI for Next-Gen MDM in Pharma
Traditional MDM is good at flagging problems. Match queues grow, DCRs age, and confidence scores still land on a steward’s desk for a judgment call. What these systems can’t do is reason through the problem. That’s the gap agentic AI closes.
We'll start where most Pharma MDM programs are today — rules-based matching, growing steward backlogs, and DCRs stuck in triage as data volume and regulatory complexity outpace traditional MDM.
From there, we'll introduce Agentic AI as MDM's next evolution: reasoning agents that work alongside stewards to enrich and match data intelligently beyond static rules, and to triage, recommend, and auto-resolve low-risk match conflicts and DCRs — always with humans in control of the judgment calls.
We'll end with a live look at Axtria's Agentic MDM capabilities and a practical, phased path for organizations just starting their AI journey.
Speaker details
Harneet Kapil
Principal, Data & AI
Axtria
Somy Silvy
Sr. Director, Data Strategy & Products,
Johnson & Johnson