What does it mean to lead projects when the outcomes are no longer predictable, but probabilistic?

As organizations rush to adopt Artificial Intelligence, many are making a critical mistake: treating AI initiatives like standard IT rollouts. But AI projects are fundamentally different. They are highly iterative, their scope often shifts dramatically between proof-of-concept and final production, and they thrive on uncertainty. Managing them with traditional, rigid structures is one of the most costly errors an organization can make.

Because today, there is a massive difference between using AI tools as a project manager, and successfully leading an actual AI project from start to finish.

This session dives into the reality of directing AI initiatives in unpredictable environments. Two industry experts will examine real-world case studies to map out how the project manager’s role must evolve—from initially validating if an AI use case is even feasible, to managing data lifecycles, coordinating technical teams without needing to be a data scientist, and driving real user adoption.

Crucially, this is all framed within a non-negotiable reality: AI governance. Implementing these tools without clear oversight, traceability, ethics, and accountability isn’t agility. It is a massive liability.

Why Join

Because managing AI requires common sense, strict logic, and tight risk management—not just algorithms. It still requires:

• Evaluating the true feasibility of an AI use case before spending budget
• The ability to lead highly technical teams without being a technical expert yourself
• The responsibility to establish governance frameworks that protect your organization from bias and risk

This session is designed for professionals who want to move past the AI hype and understand the practical, human-centered lifecycle of leading these complex initiatives successfully.

What You Will Gain

By joining this session, you will:

• Understand the AI project lifecycle: Learn how AI initiatives differ from traditional IT projects and how to adapt your management style.
• Master cross-functional coordination: Gain strategies to bridge the gap between business requirements, data science teams, and end-users.
• Navigate risk and governance: Explore practical frameworks for oversight, traceability, and ethical considerations to prevent algorithmic bias.
• Drive meaningful adoption: Learn how continuous monitoring and human-centered change management ensure long-term project success.

Who Should Attend

• Project, Program, and Portfolio Managers navigating tech transitions
• PMO Leaders and Governance Professionals setting organizational guardrails
• Innovation, Strategy, and Transformation Leaders
• Business Analysts and Technical Product Owners
• Anyone responsible for delivering or adopting AI capabilities in their workspace

About the PMI Belgium Webinar Program

This session is part of the PMI Belgium Chapter – Professional Development Webinar Program. Our webinars are designed not only to share knowledge, but to reflect the reality of project work, bringing forward topics that go beyond frameworks and support professionals in navigating complexity, uncertainty, and change.

At the same time, we align with PMI’s evolving perspective, supporting development across the PMI Talent Triangle and emphasizing value delivery, outcomes, and impact. Our intention is not to replace frameworks, but to expand how they are applied in practice.

Speakers