Cost per outcome
Which spend produces a defined benefit?
AI value. From spend to outcome.
Spend alone explains nothing. For leaders who want to connect AI cost to quality, outcomes, and better decisions — not only reduce it.
For CIOs, FinOps, finance, and AI transformation teams.
The invoice does not explain value.
Invoices and request logs show volume, not impact. Uber burned its entire 2026 AI budget in four months. The pattern repeats because nobody can connect spend to outcomes.
- 01
Costs stand alone
No one can see which workflow, model, or context caused the spend.
- 02
Results are not comparable
Teams cannot distinguish productive work from expensive experimentation.
- 03
Quality is left out
Cost reduction without a quality signal can destroy the outcome it was meant to improve.
Consumption becomes unit economics.
Thinkery connects use, context, model, quality, and outcome in one operational view. An invoice becomes a decision basis — not just a number.
Discuss this workflowCHF 42.80AI spend
context + model
136measured outcomes
| Workflow | Spend | Measured outcome |
|---|---|---|
| Customer support | CHF 14.20 | 94 cases resolvedCHF 0.15 / case |
| Product discovery | CHF 16.80 | 8 opportunities validatedCHF 2.10 / opportunity |
| Proposal copilot | CHF 11.80 | 34 proposals preparedCHF 0.35 / proposal |
Quality threshold met: 92.6%−18.4% cost per outcome
What to measure.
Model and context mix
Where does cost arise, and why?
Quality signal
Does the result remain useful after a change?
Good questions before a pilot.
A dashboard shows consumption. Thinkery connects that consumption to the specific task, its context, its quality, and its outcome. The difference: not just what you spend, but what it produced.
No. A pilot starts with a clear available baseline and makes missing signals visible.
Start with one workflow.
We take one important workflow, capture its cost and outcome, and create shared ground for the next decision.