May 2026 PMI-MC Monthly Chapter Event

Project Controls has never been more critical—or more strained. Schedules are growing in complexity, teams are increasingly distributed, and the demand for rapid upskilling far outpaces traditional training models. Yet the real bottleneck isn’t tools or templates—it’s the human capacity required to keep schedules accurate, forecasts reliable, and teams trained to a consistent standard.

This session explores how Artificial Intelligence is directly addressing these long‑standing challenges by transforming the way organizations build, manage, and sustain project schedules and workforce readiness. We will examine how AI is reducing schedule churn, improving data quality, automating variance analysis, and enabling predictive insights that were previously out of reach for most PMOs.

Equally important, we will show how AI is reshaping training and competency development—turning static learning into adaptive, personalized, real‑time coaching that accelerates skill acquisition and reduces the burden on senior staff.

Learning Objectives: 
Participants will have the opportunity to:

• The actual root causes of schedule instability—and how AI mitigates them
• How AI improves schedule quality, forecasting accuracy, and scenario planning
• Practical examples of AI‑enabled training that reduce onboarding time and elevate PM capability
• A roadmap for integrating AI into existing Project Controls workflows without disruption

Presenter Biography:

Makesi Paul is an accomplished Project Controls leader with more than two decades of experience driving schedule excellence, cost performance, and operational readiness across large‑scale, high‑visibility programs. His career spans the federal government, defense, and complex infrastructure environments, where he has built a reputation for transforming underperforming schedules, elevating PMO maturity, and implementing data‑driven controls frameworks that withstand executive scrutiny. As a certified PMP and seasoned practitioner, Makesi blends technical rigor with a deep understanding of organizational behavior—helping teams not only build better schedules, but understand the human and systemic factors that make them succeed or fail.

Today, Makesi is at the forefront of integrating Artificial Intelligence into Project Controls, championing practical, real‑world applications that enhance forecasting accuracy, reduce schedule churn, and accelerate workforce capability. His work focuses on bridging the gap between traditional controls disciplines and emerging digital tools, ensuring that AI becomes an enabler of better decision‑making rather than another layer of complexity. Known for his clarity, candor, and commitment to elevating the profession, Makesi brings a grounded, practitioner‑focused perspective to the conversation about how AI is reshaping the future of scheduling, training, and project delivery.

That’s Amore Restaurant, 15201 Shady Grove Rd #1, Rockville, MD 20850  (Downstairs Banquet Entrance)

Speaker will be in-person at restaurant with simulcast video option available via Zoom