MIT's research has found 95% of enterprise GenAI investments produce no measurable P&L impact. Premium models run routine prompts. Recursive loops burn five-figure sums before detection. Costs surface after the invoice, not before.

Join us and Revenium in our live session to explore the Autonomous Job: a unit of work that ties every agent decision to its cost, outcome, and a named budget owner.


What you'll take away:

  • Why AI is the first workforce in your company without a system of record, and what that costs you every quarter you wait.
  • The Autonomous Job as the missing unit of measurement, demonstrated live on a real agent trace.
  • Three spend patterns that show up in nearly every enterprise AI footprint, and the recovery math behind each.
  • What it looks like to run an AI workforce with the same cost, outcome, and ownership discipline you apply to every other workforce.

Why you should attend:

  1. You can see total token spend by model or API key. You can't see which customer, product, or agent drove it, or what each one produced.
  2. Premium models running routine prompts. Recursive loops burning five-figure sums before anyone notices. By the time it shows up in a report, the money is already gone.
  3. No one owns the AI budget the way someone owns the budget for headcount, software, or infrastructure. When spend goes sideways, there's no early warning and no clear accountability.

Your Speakers

Jason Cumberland
Chief Product Officer and Co-Founder, Revenium

Jason leads product strategy to ensure AI systems scale with economic accountability. Prior to co-founding Revenium, Jason led Sales and Product Management at NTT Cloud and served as General Manager of IaaS at Dimension Data. He has spent his career building and scaling enterprise cloud platforms.

Bailey Caldwell
Chief Strategy Officer, Revenium

Bailey focuses on building AI economic control systems for the agent economy. He brings 15 years of work in cloud strategy and cost management. That includes a decade at RightScale, leadership roles at Flexera, and time as an Associate Partner at McKinsey, where he built and scaled the Global FinOps practice.