You know the pattern all too well: schedules degrade faster than you can update them, your reporting lags reality by days or weeks, and risks only become visible after they’ve already impacted your project. In complex capital projects, you have more data than ever—but your team’s capacity to continuously interpret and act on it has become the real bottleneck.

In this session, you’ll discover how AI Operators are helping project controls teams move from reactive firefighting to continuous, system-led control. You’ll see how these tools, built on a foundation of validated schedule analytics, can automatically run integrity checks, delay and change analysis, and risk scenarios at every update—at a scale and frequency that would be impossible for your team alone.

If you want a clear, practical view of how AI can work in your real project environment—without replacing your existing systems or forcing you to trust black-box solutions—this session will give you exactly that.

Here’s what you’ll gain by attending this session:

• Understand the technical building blocks: data foundations, validation, and integration with tools you already use, like Primavera.
• Explore a clear five-stage maturity path from disconnected manual checks to autonomous Operators that proactively scan your portfolio and surface issues before they escalate.
• See real results from live projects: recovered time on critical paths, measurable improvements in schedule integrity, and tighter forecast confidence ranges.
• Gain practical insights into what changes—and what doesn’t—in your day-to-day work as a scheduler, planner, or PMO team member when AI Operators are deployed.

Presentation Category: Project/Program Management

Competency Level: Advanced