AI ROI

Make your AI ROI defensible.

Connect AI spend and adoption to outcomes your business defines—without invented productivity multipliers.

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Three layers

Not all of ROI is equally knowable.

Treating a hard number and a soft estimate as the same thing is how AI business cases lose credibility with a CFO. Governe keeps them separate on purpose.

LAYER 01

Cost

Directly observable, to the request. Every call carries a model, a team, an application, and a price.

  • Spend by team, application, model, and vendor
  • Token and request volume over time
  • Card and expense spend reconciled against providers
  • Duplicate capability across vendors
Measured — not estimated
LAYER 02

Adoption

Also directly observable, and the number most business cases quietly stop looking at after launch week.

  • Active users by week, not cumulative signups
  • Month-three retention per application
  • Depth of use: occasional vs. embedded in workflow
  • Abandoned initiatives still being billed
Measured — not estimated
LAYER 03

Outcome

Where honesty matters most. Governe instruments the metric you nominate per initiative and tracks it against cost — it does not invent one.

  • You define the metric: handle time, cycle time, deflection rate, error rate
  • Governe tracks it alongside spend and adoption
  • Baseline and post-deployment comparison
  • Explicitly flagged when no outcome metric was ever set
Instrumented — you define the measure
The portfolio view

Every line item should end in a decision.

Not a dashboard someone screenshots for a slide. A defensible call, with the numbers attached.

01 · Inputs

AI portfolio

Bring every investment into view before judging its return.

ProjectsApplicationsVendors
02 · Evidence

Measure what is knowable

Keep observed facts separate from business assumptions.

CostDirectly measuredAdoptionObserved over timeOutcomeYou define the metric
03 · Decision

Act on the evidence

Every line item should resolve to a defensible action.

ScaleProven valueConsolidateDuplicate capabilityStopNo justified return

What we will and won't claim.

Worth reading before you evaluate anyone in this category, including us. The gap between these two columns is where most AI ROI reporting quietly falls apart.

We will tell you

Exactly what you spent, by team, model, vendor, and application — reconciled against what was actually billed, including expense-card spend nobody attributed.

We won't tell you

That AI saved your organization "the equivalent of 40 FTEs." That number requires assumptions only you can make, and stating it as a product output would be dishonest.

We will tell you

Which initiatives still have real users in month three, and which quietly died while the invoice kept arriving.

We won't tell you

That a generic industry benchmark applies to your workflows. We'll show you your own baseline instead.

We will tell you

When an initiative has no outcome metric attached at all — which is itself one of the most useful findings in the first month.

We won't tell you

A single blended "AI ROI" percentage for the whole company. It would average away the exact differences the number is supposed to inform.

Straight answers

What a skeptical CFO asks next.

How do you measure ROI without making it up?+
We measure what's measurable and are explicit about the rest. Cost, usage, and adoption are directly observable — spend per team, per model, per application, and whether people still use the thing after month two. Business outcome is instrumented against metrics you define per initiative. Governe won't invent a productivity multiplier; it makes the real numbers impossible to avoid.
How do you capture spend that never went through procurement?+
Three sources, reconciled. Provider billing APIs for the accounts you know about. Expense and card data for the ones you don't — AI spend on a corporate card is one of the most common blind spots we find. And identity signals showing which AI services people have authenticated to, which surfaces paid tools nobody expensed correctly.
We already have a FinOps tool. Why isn't that enough?+
FinOps tools tell you what a workload cost. They can't tell you what data that workload sent to a frontier model, whether an autonomous agent generated the spend, or whether anyone still uses the application. Governe holds cost on the same record as content and adoption — which is what turns a spend report into a decision.
Can we attribute cost to a project or budget rather than a team?+
Yes. Budgets are enforced as leases against whatever dimension you care about — project, cost centre, team, application, or agent. Because it's a lease rather than a report, a disconnected runtime still can't exceed its granted allowance, so the budget is a control rather than a postmortem.
How long before the ROI picture is trustworthy?+
Cost attribution is meaningful within the first billing cycle. Adoption needs a quarter to say anything honest about retention. Outcome depends on you nominating a metric — teams that pick one in week one have something defensible by end of quarter; teams that don't, don't. That last part isn't a product limitation, and we'd rather say so upfront.

Ready to make AI ROI defensible?

Map what AI is costing, where adoption is holding, and which outcomes your business needs to measure.

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