Can You Prove Your AI Is Working? Most Leaders Can't. Here's the Fix.
About this session
Agentic AI promised to transform the enterprise operating system and it has. It's also introduced a cost accountability crisis that most organizations aren't equipped to measure or manage.
Meta shut down its AI token leaderboard in days. Uber burned its entire 2026 AI budget in four months. MIT found 95% of AI pilots produce no measurable return within six months. The problem isn't the technology, it's that we're measuring the wrong thing. Token consumption became this decade's "lines of code", a number that goes up while actual outcomes stay flat.
I've spent years building and deploying enterprise AI systems, driving a 29% AI adoption increase and 21% task completion improvement in production environments. The hard lesson, the teams that failed weren't under-resourced. They were under-measured.
In this talk I introduce the "AI Value Ratio", a practical framework that connects AI spend to business outcomes your CFO will actually recognize. You'll leave with a measurement playbook you can implement in 30 days, and the language to defend your AI investment in any boardroom conversation.
Speaker
Key takeaways
- Why token consumption is this decade's vanity metric and the three outcome-based measures that actually tell you whether your AI is working, with real numbers from production deployments
- The AI Value Ratio: a concrete framework for calculating cost-per-completed-task and mapping it to business outcomes, so you can walk into any board meeting and defend your AI spend with evidence
- A 30-day measurement playbook: how to build the attribution layer between AI activity and business value, without a data science team and without starting over