A written acceptance test
Every outcome has a measurable target, an evaluation set and a date for measuring it.
Andolasoft builds and runs AI systems that are measured against a business result you define in advance: a faster process, a higher accuracy rate, or a lower cost per completed task. The result, the acceptance test and the commercial terms are written down before work starts.
Illustrative target. Yours is agreed in the architecture review, before the build.
Outcome-based AI services are engagements where part of the price depends on a measured result the client agreed in advance, such as processing time, accuracy or cost per completed task. Unlike hourly billing, the vendor shares the risk of whether the system works. That only works when the outcome can be measured, so the first step is always an agreed baseline and test set.
Every outcome-based engagement follows the same discipline. It is the difference between a result you can check and a promise you have to take on trust.
One business metric, one process and one owner. Example: invoice exceptions resolved within 24 hours at 95% accuracy.
We record how the process performs today, so the improvement is measured against real numbers, not an estimate.
We collect real past cases with known correct answers. This is the test every release must pass before it reaches production.
The fixed or milestone price, and any outcome-linked element, is tied to the evaluation results and written into the statement of work.
Monitoring, rollback paths and a monthly outcome report show whether the target is still being met after launch.
Documentation, runbooks and training let your team run the system without us, or keep us on a support plan.
Each model moves risk to a different party. Choose the one that matches how well you can define and measure the result.
| Model | Who carries the risk | Best when | Watch out for |
|---|---|---|---|
| Time and materials | Client | Scope is unclear and discovery is needed | Costs rise with the hours spent, not the value delivered |
| Fixed scope, milestone-based | Shared | Deliverables and acceptance tests are clear | Fixed scope can still ship a system that does not move the metric |
| Outcome-linked | Shared, weighted toward vendor | The metric is measurable and the data is accessible | Needs a clear definition of the result, the data source and who measures it |
| Subscription or seats | Client | Software is used by people every day | Pays for access, not for the result the AI produces |
Every outcome has a measurable target, an evaluation set and a date for measuring it.
Weekly evaluation results and a monthly outcome report, so you see the number move or stall early.
Outcomes depend on access to the right data and a named person who signs off the results. Delays caused by those are recorded in the agreement.
We will help you define a measurable outcome, a baseline and a pricing model that fits. You will hear back from a solutions architect within one business day.
We can sign an NDA before the first technical conversation.