AI adoption in software engineering is accelerating, but the real story lies in how top-performing teams are turning it into measurable impact. While many organisations remain stuck in experimentation, leading teams are successfully translating AI-driven productivity gains into improved delivery performance. The difference isn’t the tools, it’s how they’re applied within the system.
In this session, we’ll share data-backed insights from engineering teams and technology leaders to reveal what high performers are getting right. At the core is a systems thinking approach: the Theory of Constraints. This method helps teams identify and remove the bottlenecks that absorb AI-driven gains and prevent them from translating into delivery outcomes.
You’ll learn how to measure AI’s true impact against industry benchmarks, identify the constraints limiting performance, and apply a proven framework to unlock organisation-wide gains.
Attendees will leave with a practical roadmap to move from pilot to performance, turning AI adoption into meaningful, measurable business results.
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