FREE PLANNING TOOL
Calculate possible AI savings with one number.
Enter your current monthly AI model spend. The calculator shows our regular-repetition estimate and a transparent range based on the public low- and high-repetition scenarios. Technical assumptions remain optional.
The calculator models two effects: a valid memory hit avoids the input and output tokens of a new model call, while lean context reduces only the input tokens on calls that still need new reasoning.
FREE SAVINGS ESTIMATE
One number. A useful first estimate.
Enter your current monthly AI model spend. We will show a transparent savings estimate based on our public low-, regular- and high-repetition scenarios.
possible monthly model saving
The default 35% is our regular-repetition planning scenario. The range uses our public 20.1% and 70% scenarios. This is not a promise: actual savings depend on repetition, model mix and memory quality.
Find your real saving →What the calculator measures
Start with your monthly AI model spend—the number finance or your provider bill is most likely to have. Governora applies its public repetition scenarios and shows a central estimate plus a range. Technical teams can refine the token assumptions later.
- Possible monthly and annual model savings.
- A regular-repetition estimate using 35%.
- A public planning range from 20.1% to 70%.
- Optional request and token assumptions for deeper analysis.
The formula
Projected tokens equal the remaining requests multiplied by their smaller input context plus their unchanged output tokens. Tokens avoided equal baseline tokens minus projected tokens. The percentage is calculated over total input and output tokens, not input context alone.
Why the first estimate stays simple
The calculator applies the modeled token-reduction percentage to your current model spend. It deliberately leaves provider discounts, retrieval infrastructure, storage, review, and engineering cost outside the quick estimate. Add those items in a detailed business case.
How to replace assumptions with evidence
Export the baseline from one real workflow, classify valid memory candidates, and replay the same task set through a memory-first route. Replace the hit rate, context reduction, token counts, quality checks, and prices with observed values.
- Keep the task set and model stable.
- Measure per successfully completed task.
- Reject stale, unsafe, or low-quality memory hits.
- Report retries and non-model operating cost separately.
HOW IT WORKS
Four clear steps.
Each step stays connected to the same execution. This makes authority, external work and the final outcome explainable.
- 01
Enter current model spend
Use one approximate number from your monthly provider or AI platform bill.
- 02
Model reuse
Estimate the percentage of requests a valid approved answer can handle.
- 03
Model lean context
Estimate how much input context can be removed from the calls that remain.
- 04
Validate
Replace every assumption with observed telemetry before publishing a result.
QUESTIONS
Simple questions. Direct answers.
What Governora does, what it does not do, and where it fits.
Does the result include retrieval and storage cost?
No. The quick estimate applies modeled token reduction to your current model spend. Add memory storage, retrieval, evaluation, engineering, monitoring, and review cost in a full business case.
Why are output tokens unchanged on a memory miss?
Lean context normally reduces the input sent to a model. The output still depends on the task, so this calculator leaves output tokens unchanged unless a valid memory hit avoids the entire call.
Can the calculator prove a 70% saving?
No. It can show the assumptions required to model 70%. Only a controlled evaluation with observed tokens, quality, retries, and operating cost can establish an actual result.
What should I measure first?
Start with model tokens per successfully completed task, valid memory-hit rate, calls avoided, context reduction, answer acceptance, retries, latency, and total operating cost.
Map one governed AI execution.
We will map the actor, decisions, capabilities, evidence, external calls and proof with you.
Plan a pilot review →