AI tools don’t follow the traditional formula for SaaS spend, where the budget is easily calculated based on the number of seats needed. Costs can skyrocket overnight, vary widely by vendor and model, and can be difficult to pin to ROI. That’s why it’s so important for IT, Finance, and AI program leaders to work from the same data.
This guide covers:
Why AI spend is highly variable, depending on consumption, models, and use cases
What IT, Finance, and AI program leaders each need to successfully manage AI consumption and spend
How a single source of truth for real-time data can empower leaders to be proactive instead of reactive
AI spend is no longer a line item Finance can manage reactively. The combination of consumption-based pricing, fragmented vendor data, and accelerating adoption has created a visibility gap that individual vendor dashboards and manual reconciliation can't close.