Articles

How CPMAI Helps Project Managers Lead AI Projects with Confidence

January 27, 2026 • 6:30–8:00 PM ET • Virtual via Zoom
Presented by Michael Krahn, CPA, CMA, CHFP, CSCA, PMP, PMI-ACP, CPMAI

AI is changing the way organizations work, and project managers are being asked to lead initiatives that move faster and evolve more often than traditional projects. If you want to stay ahead of that curve, you won’t want to miss Leading AI Projects With Confidence: What CPMAI Gives Project Managers in Practice, a practical and engaging session led by Michael Krahn. Michael will break down the PMI-CPMAI™ framework and show how its iterative approach helps project managers deliver stronger, more reliable AI outcomes.

This program is designed for anyone who wants a clear, real-world look at how AI projects actually unfold. Instead of a linear “plan-then-execute” model, CPMAI uses a structured, repeatable cycle: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Operationalization. Each phase includes built-in checkpoints, allowing teams to loop back, adjust, and improve. The result is better models, better decisions, and fewer surprises.

Michael will also connect the CPMAI lifecycle to the five PMI-CPMAI™ domains: Responsible AI, Business Needs, Data Needs, Model Development, and Operationalization. You’ll see how these domains support trust, data readiness, experimentation, and continuous feedback—all essential for modern AI work.

To make the concepts stick, Michael will walk through a short case study on hospital readmissions. You’ll see how missing data triggered a loop-back, how feature engineering improved accuracy, and how iteration kept the project aligned with business goals. It’s a simple, memorable example of CPMAI in action.

The session also includes a helpful exam-prep tip: using tools like ChatGPT or PMI Infinity as study partners. By prompting, reviewing, and refining your understanding, you can build the same iterative mindset that CPMAI expects in real projects.

You’ll walk away with:

• A clear understanding of how CPMAI works
• A practical view of the five PMI-CPMAI™ domains
• A real example of iteration improving AI results
• Study strategies that make exam prep more efficient

If you’re looking to expand your skill set, prepare for the PMI-CPMAI™ exam, or better understand how AI projects really operate, this session is a must-attend. Join us for an informative, fast-moving program with tools you can use right away.