AI Strategy • 2 April 2026 • By Stanislaus Martins
How to Measure ROI on AI When the Benefits Are Hard to Quantify
CFOs rarely ask me whether AI is working. They ask how they would even know if it were.
CFOs rarely ask me whether AI is working. They ask how they would even know if it were.
It is the right question. Most AI spending I see has no measurement plan attached. The benefit is assumed, the attribution is vague, and when somebody finally asks what the business got for the money, the honest answer is "something, probably".
## Why the usual sum struggles
Spend this, get that back. It works for a new machine or a new branch. AI makes it harder in three specific ways.
The gains travel along a chain. A sales team that replies faster makes more contact, converts more and books more revenue, and every link in that chain is also moved by other things.
Some of the gains are things that did not happen. Fraud stopped, an error caught, a client who stayed. They are real money and they never appear as a line on the income statement.
And the timing rarely matches the reporting cycle. Judge a change to how people work after a single quarter and you will usually undercount it.
## A method that holds up in a board meeting
Map the process before you touch it. Take the specific workflow the AI will change, write down each step, and record how it performs today. Then ask what a realistic improvement at each step would be worth.
Measure the business outcome. If AI is sorting customer service tickets, the numbers that matter are how quickly tickets get resolved and how many are fixed at first contact. How cleverly it sorts them is a detail.
Keep a before and after. Pick a baseline period, measure, deploy, and measure again over the same length of time. Where you can, keep one team or branch on the old way for comparison. The gap is the impact you can defend.
## The number I use most
Cost per unit of outcome. What does it cost today to produce one qualified lead, resolve one ticket, collect one overdue invoice?
AI should move that figure. If it does not, you picked the wrong use case or built it badly. If it does, the return is a number, and boards know what to do with numbers.
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If this is close to where your business is right now, I would like to hear about it. I work with a small number of clients at a time and I read every message myself.
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