About Session
AI spend is the new SaaS sprawl, except there’s no seat count to cap it. Finance leaders are getting blindsided by monthly bills they can’t explain, and agentic AI will make today’s costs look trivial. In this session, Drivetrain’s CEO and Co-founder Alok Goel shares the framework he’s developed working with finance leaders to solve what is fundamentally a forecasting problem. Learn how to attribute costs at the workflow level, set caps that actually prevent runaway spend, and use chargeback to close the accountability gap – making AI token costs a forecastable driver, not a monthly surprise.
Learning Objectives
- Understand why AI token spend is structurally harder to control than SaaS, and how the principal-agent problem between developers and finance creates the blind spots behind most budget surprises.
- Learn a four-step framework to attribute and govern AI spend before agentic workflows make it exponentially more complex.
- Discover how to integrate AI token costs into your financial plan as a consumption-based driver, enabling scenario modeling and rolling forecasts rather than reactive reconciliation.
