How to Drive AI Value in Software Engineering

• Measure AI success through delivery outcomes rather than developer productivity or tool adoption

• Identify the organizational capabilities required to turn AI investments into measurable engineering value

• Understand how enablement, platform investments and governance influence AI outcomes at scale

• Use the AI Score for Software Engineering to assess AI's impact on engineering performance and business value

Many software engineering organizations struggle to demonstrate meaningful returns from AI investments because they focus on the easiest metrics to measure: developer productivity, task completion and potential cost savings. While useful, these measures often fail to capture AI's broader impact on software delivery, engineering effectiveness and business outcomes.

This webinar explores how software engineering leaders can evaluate AI value more comprehensively. Gartner will examine how AI contributes to delivery-system capacity, validated business impact and future opportunities, and why enablement, platform investment and governance are becoming more important drivers of value than tool selection alone. The session will also demonstrate how to use the AI Score for Software Engineering to assess AI's contribution and communicate its impact to business stakeholders.

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