Webinar
AI Budget Burning? How to Convert AI Spend Into Tangible Business Results
An executive roundtable with Eaton, Cisco, and Opsera on enabling engineers, operationalizing AI, and driving bottom-line impact
Thursday, June 25, 2026 | 10am PT / 1pm ET
Why This Roundtable, Why Now
The 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight Platforms didn’t just recognize vendors. It sent a clear signal: the market has crossed a maturity threshold. Industry data shows that the strategies that got organizations to 91% adoption aren’t the ones that drive measurable, defensible ROI.
This isn’t a product demo or a vendor pitch. It’s an honest conversation between leaders about what the data shows, what’s working, and where the gaps are, so you can make better decisions in the next 12 months.
What We’ll Cover
- The Metrics That Actually Move the Needle. Acceptance rates and DAUs don’t tell the value story your CFO needs. We’ll dig into the outcome metrics driving a 20–30 percentage point productivity gap between organizations with identical adoption rates.
- The Inner/Outer Loop Problem. AI is accelerating code creation while generating a 4.6x longer wait time for PR reviews. That bottleneck neutralizes much of that acceleration. Panelists will share how they’re addressing the imbalance and what the right sequencing looks like.
- Governing Agentic AI Before It Governs You. Agentic tools execute multi-file changes, architectural decisions, and deployments before any human reviews a step. We’ll explore the governance policies leaders are putting in place as agentic adoption scales.
- What the MQ Signals About the Market’s Direction. The first Gartner MQ for this category marks a maturity threshold. We’ll unpack what it means for long-term platform bets, how Atlassian’s $1B DX acquisition reshapes the competitive landscape, and why GenAI impact measurement is now table stakes.
Who Should Attend
This roundtable is designed for senior leaders who own AI strategy, engineering productivity, or platform decisions:
- CTOs and VPs of Engineering navigating the shift from AI adoption to AI outcomes
- Security and Compliance Executives building governance frameworks for agentic workflows
- DevOps and Platform Leaders responsible for inner/outer loop orchestration
- Technical Executives making long-term bets on developer productivity platforms
Speakers
