Usage tells you whether AI is being used. Outcome measurement asks whether a defined task or process improved, at what cost, and with what evidence.
Define the result before measuring it
Start with one project, an owner, and the work it is intended to improve. Record the task or process, the intended population, the measurement period, and what success means. Provider activity is evidence of use, not automatically evidence of a better business result.
- 01Name the decision the measurement should support: scale, fix, hold, or stop.
- 02Define a representative baseline and a comparable current period.
- 03Record exclusions, missing information, and who approved the method.
Employee productivity assistant: time to complete the selected task
Average elapsed or active time required to complete the specific task this AI is intended to improve.
Measure a representative pre-AI period or a comparable group completing the same defined task.
Do not multiply time saved by salary unless Finance confirms the work is actually removed, redeployed, or capacity constrained.
- 01Unit: minutes per task.
- 02Possible evidence: Workflow timestamps, Time study, Owner-approved sample.
- 03Common exclusions to review: Training period, Materially different task types.
Process automation: end-to-end process cycle time
Average time from the defined process start to the defined completed outcome.
Use completed cases from a representative pre-automation period with the same start and completion rules.
Do not mix materially different case types without a disclosed weighting method.
- 01Unit: hours per case.
- 02Possible evidence: Workflow timestamps, Case system, Finance-approved study.
- 03Common exclusions to review: Cases waiting on customer action, Out-of-scope case types.
Agentic or custom AI application: AI cost per successful outcome
Approved AI usage cost attributed to the defined successful outcomes in the same period.
Confirm the cost boundary and successful-outcome count for the same period before calculating the rate.
The calculation is only as complete as both the cost attribution and the successful-outcome definition.
- 01Unit: USD per successful outcome.
- 02Possible evidence: Gateway or provider cost, Application completion events.
- 03Common exclusions to review: Unallocated shared cost, Failed or duplicate outcomes.
Keep cost, capacity, and quality separate
Reported time savings describe capacity. They are not a reduction in cash spending unless the business confirms a corresponding change. Adoption, quality, and risk measures can be useful without being converted into dollars. Keep measured results, estimates, and owner-reported observations separately labeled.
Match costs and results to the same project and period. State which provider, license, implementation, or shared costs are included. Unallocated costs and missing results should remain visible rather than being treated as zero.
Record the decision and what happens next
Review the result alongside its source, baseline, sample size, exclusions, and open questions. Record the decision, the reason, the accountable owner, and the next review date. A project can remain on hold while its evidence improves; missing evidence is not proof that it failed.
These examples are drawn from Tallin's outcome measurement templates. They are starting points for an operating review, not financial, accounting, or legal advice, and they do not guarantee savings or establish causation.
Sources [1]
Key takeaways
- 01Define one result and a comparable baseline.
- 02Keep usage, capacity, quality, and financial results distinct.
- 03Match cost and outcome evidence to the same project and period.
- 04Attach an owner and next review date to the decision.
Sources
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