AI ROI: Questions to Answer Before You Measure
About this resource
Ask a leadership team what their AI investment returned and you get one of two answers: a confident number that dissolves under the first follow-up question, or an honest admission that nobody can say. Both come from the same place. Success was defined after the spending, which means it was defined by whatever happened to be available. AI ROI is a discipline problem rather than a mathematical one.
This guide names the five reasons the number goes vague, from missing baselines to self-reported time savings to unsettled attribution, then gives you seven questions to answer before implementation. It includes a side-by-side comparison of activity metrics and outcome metrics, a four-row baseline worksheet to complete before any money moves, and an honest account of when these seven questions stop being sufficient and you need more structure. Written by a CPA, which is why it optimizes for surviving the follow-up question rather than for producing an impressive figure.
Capturing a baseline on your three most important processes takes about two weeks. It is the only step in the entire exercise that cannot be done retroactively at any price.
How to use it
Capture the baseline. If you take one thing from this, take two weeks and measure what your three most important processes cost you today, before the next tool decision. Everything downstream gets easier and it is the only step that cannot be done retroactively. Organizations with a mediocre measurement approach and good baselines can always improve their analysis later; organizations with a sophisticated framework and no baselines have nothing to analyze.
Inside the download
Five specific causes, starting with the baseline nobody captured.
Each one becomes materially harder to answer honestly once money has been spent.
A comparison table so you stop reporting usage as a result.
Whether the saved hours became volume, deferred work, reduced overtime, or an easier week.
Common questions
Start with a baseline captured before anything changes, on a measure that already exists in a system somebody already reviews. Then define the improvement threshold in advance, name one person who owns the measurement, and set the review date. Without a pre-implementation baseline the after figure is an anecdote with a decimal point.
Five reasons. No baseline was captured. The metric was invented for the initiative and abandoned within two quarters. Time saved was self-reported, which people consistently overestimate. The gain stayed with the individual and never reached the financial statements. And attribution was never settled, because several things changed at once.
Activity metrics record that something happened: licenses deployed, users logged in, prompts submitted, training sessions delivered. Outcome metrics record that something improved: cycle time on a named process, rework and correction rates, capacity released and where it went, errors caught before reaching a client. Activity metrics are useful as leading indicators and cannot answer what a board asks.
Free. No email list, no follow-up sequence.
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