A practical guide to AI spend management across IT, finance and AI program leaders

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 and agreed roles can empower leaders to be proactive instead of reactive

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