Change and delay are part of every project, but the real challenge isn’t that they happen. It’s that most organizations can’t clearly explain how, where, or why they started. Without that understanding, accountability gets lost and leaders are left reacting after the damage is done.
According to HKA, scope change is the number one cause of disputes and claims in major projects worldwide, impacting almost 40% of the projects analyzed. The data is clear: unmanaged change doesn’t just cause friction, it drives the majority of the industry’s cost and schedule pain.
In this session, we’ll look at how leading organizations use automation and analytics to understand change at its source across every version, project, and program.
You’ll see how they’ve moved from fragmented manual comparisons to a connected, portfolio-wide view that tracks every change, its impact, and its root cause.
We’ll talk about why this level of visibility has felt impossible for most. Too many versions, too much data, not enough people.
You’ll see how AI is now doing the heavy lifting, automatically detecting, attributing, and explaining every change, so teams can trace delays back to their source and act early.
You’ll walk away with:
- A leadership view of how to trace delay back to its origin
- Practical ways to finally improve version control and variance tracking
- Real examples of early warning systems that catch risks early
- A benchmark to measure your organization’s maturity in managing change and delay
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