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Before integrating AI into your PM practices, it’s worth asking the right questions first. Data quality, process maturity, governance, and team readiness will determine whether AI delivers value—or creates more complexity.

https://blog.iil.com/the-pms-ai-readiness-checklist-5-questions-before-your-first-ai-integration/

The PM’s AI Readiness Checklist: 5 Questions Before Your First AI Integration By Markus Kopko, PgMP®, PMP®, PMI-CPMAI™ Most project managers are not opposed to AI—they are unsure where to start. The five questions in this article are a diagnostic, designed to surface the specific blockers that prevent AI from delivering value in your project environment.

AI agents are evolving from simple tools to autonomous coordinators, reshaping how programs are managed and decisions are made.

https://blog.iil.com/ai-agents-in-program-management-from-coordination-tool-to-autonomous-coordinator/

AI Agents in Program Management: From Coordination Tool to Autonomous Coordinator By Markus Kopko, PgMP®, PMP®, PMI-CPMAI™ For program managers, this is not a technology curiosity. It is a structural change in how programs are coordinated, monitored, and governed.

PMOs are no longer just governance hubs, they’re uniquely positioned to lead AI adoption across the enterprise.

https://www.cio.com/article/4126680/why-pmos-are-perfectly-positioned-to-lead-ai-adoption.html

Why PMOs are perfectly positioned to lead AI adoption In an era of AI hype, why are PMOs, the often-maligned "process police," emerging as the unsung hero of responsible AI deployment?