Perspectives: Framing ROI for enterprises
When we speak with enterprises buying AI tools, one pattern shows up repeatedly: founders pitch ROI as a cost-savings story but can’t connect it back to the operational realities of an enterprise buyer.
Buyers tend to translate AI ROI into specific headcount decisions. Not “this saves 30% on support costs,” but “I won’t need to backfill 12 roles next quarter.” How many roles, in which teams or geographies, and when.
One SVP told us he manually took a strategic ROI number from a startup, converted it into the exact number of hires he wouldn’t need to make in each geography, and brought that to his CFO. That got approved. The vendor’s ROI slide deck, full of percentage savings and efficiency metrics, wasn’t as helpful.
If you’re a founder selling to enterprises, your product’s ROI model probably has the right math. But if it doesn’t translate into an operational story the buyer can walk into a budget meeting with, you’re forcing them to do the hardest part themselves.