The ROI of AI in Engineering

AI is reshaping software engineering from code generation to testing, delivery, and operations. But is it paying off?

According to The State of AI in Software Engineering 2025 report by Harness, 63% of organizations say AI has made them faster but nearly half report more deployment problems and rising costs. As teams rush to code with AI, downstream inefficiencies in testing, security, and governance threaten to erase the gains. The result? A new challenge: proving the return on intelligence.

Join a panel of engineering leaders from Harness as they unpack what real ROI looks like for AI in engineering. This interactive session will explore how organizations are moving beyond the hype to measure outcomes in terms of velocity, quality, cost, and resilience—while learning to manage the paradox of speed versus stability.

Key Discussion Topics:

1. The AI Velocity Paradox: Why faster coding doesn’t always mean faster delivery
2. Quantifying ROI: How to measure AI’s impact on developer productivity, reliability, and cost
3. Balancing Risk and Reward: Guardrails, automation, and governance strategies that ensure sustainable gains
4. Audience Exchange: Attendees share how they’re tracking AI success or struggling to do so

Leave with a clear understanding of how leading teams are turning AI experimentation into measurable business value, and how your organization can too.

We look forward to seeing you there!

Questions? Contact [email protected]