Why CPMAI Matters in AI Projects — with Mike Hyzy
Notas do episódio
In this episode of AI Today, host Kathleen Walch is joined by Michael Hyzy, Vice President of AI Strategy and Product Development at CGI, to explore why so many AI initiatives struggle—and why methodology matters more than ever.
Drawing on his experience leading enterprise AI initiatives in regulated industries, Michael explains why treating AI like traditional software often leads to failure, stalled pilots, and unmet expectations. He shares how CPMAI provides the structure needed to manage uncertainty, align stakeholders, and move AI efforts from experimentation to measurable business outcomes.
This conversation dives into the realities of managing non-linear AI work, from data readiness and model risk to governance, ethics, and long-term operationalization. Michael also looks ahead to the rise of AI agents and what project leaders must do now to prepare for a future where humans and AI systems work side by side.
Tune in to hear about:
- Why AI projects fail when traditional delivery methods are applied
- How CPMAI helps teams navigate data uncertainty and iterative learning
- How organizations move AI from pilots to production
- Why governance and risk management must be built into AI projects from the start
- What mindset shifts do project managers need when leading AI initiatives
- What the transition from AI tools to AI agents means for organizations
Whether you’re a project manager, AI practitioner, or organizational leader, this episode offers practical insight into delivering AI responsibly, realistically, and at scale.