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AI is rapidly becoming embedded in how SaaS companies build products, serve customers, and run their businesses. For SaaS operators – particularly finance, FP&A, and product leaders – this raises a deceptively simple question:
How do you quantitatively evaluate whether AI is actually improving business performance?
This is because AI changes what you should measure. If AI revenue and AI costs aren’t clearly defined and separated, leadership teams end up relying on assumptions instead of economics.
In a new guide, we outline a practical approach to AI measurement, including:
