About Session
Most mid-market finance teams approved AI spend before they had any mechanism to track it. Unlike seat-based SaaS, consumption-based AI pricing doesn’t map to how finance teams plan — and without ongoing visibility into usage, forecasting AI costs means guessing. The problem compounds fast: AI tools are landing across every department, vendors are bundling AI features into existing contracts, and 57% of companies don’t believe they’re paying a fair price for AI tools — or they don’t know. This session looks at how finance teams are building the visibility they need to manage AI spend in real time, incorporate it into forecasting, and stop getting surprised by the bill.
Learning Objectives
- Understand why consumption-based AI pricing creates budget exposure that traditional SaaS management processes weren’t built to catch
- Learn what ongoing AI spend visibility actually requires — usage data by team, model-level cost breakdowns, and spend trends over time
- Walk away with a practical framework for incorporating AI spend into your existing budgeting and forecasting process before your next planning cycle