CFO's Guide to Making AI Spend Predictable: Token Costs, Budgeting & Forecasting

​AI consumption doesn't come with a seat count or a procurement gate, and it's invoiced in arrears - which is why finance usually finds out last.

This session walks through a practical framework finance teams are using to make AI spend forecastable instead of a surprise.

​What to expect

• ​How to attribute tokens to an owner, workflow by workflow

• ​Why daily/weekly caps beat annual budgets that only record the damage after the fact

• ​How to build cost-per-job unit economics into your plan

• ​Turning AI spend into a driver-based forecast line with scenarios

​Who should attend
CFOs, FP&A leaders, and finance teams responsible for AI/software cost visibility.

​About your hosts:

​Drivetrain is the AI-native FP&A platform built for finance teams who've outgrown spreadsheets and rigid legacy tools. Its AI layer builds forecasts, runs scenarios, and reconciles headcount while every number stays traceable to its source. Finance leaders across 21 countries and 13 verticals trust Drivetrain, including SaaS, professional services, manufacturing, fintech, retail, and healthcare.