Your AI workforce is already running. Agents are triaging tickets, writing code, closing loops, and making thousands of economic decisions a day. But can you prove what any of it is producing? MIT's 2025 research found that 95% of enterprise GenAI investments show no measurable P&L impact. The problem isn't the models. It's that AI is the first workforce in your company without a unit of measurement.
Every other function has one that ties spend to results: the deal in sales, the ticket in engineering, the dollar in finance. Your AI workforce, making thousands of economic decisions a day, is measured by one thing: cost. In this session, Jason Cumberland (CPO and Co-Founder) and Bailey Caldwell (CSO) introduce the Autonomous Job, the missing unit that ties every AI decision to its full cost, its real outcome, and a named owner. You'll see it live on a real agent trace, side by side with what it looks like when a job goes wrong. Whether your AI spend runs through engineering or lands on the finance team's desk, you'll leave knowing exactly where to start.
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