A plan you can test and build on.
We agree on your AI project’s goal, test the assumptions, and build in stages. Each stage gives you something to review before deciding what comes next.
Delivery sequence
Five steps from idea to use.
- 01
Define the outcome
Agree on what needs to change and how you will measure success.
- 02
Map the system
Map the steps, systems, and people involved, including who can approve changes.
- 03
Test the idea
Test with representative data before committing to a larger build.
- 04
Build for production
Build and test the software, connect it to your systems, and prepare your team to run it.
- 05
Measure the result
Compare results with the agreed goals and use what you learn to improve the system.
Plan for the work after launch.
Decide how the software will be tested, monitored, and maintained, and who will be responsible for it.
Test before release
Check expected behavior, failure cases, and model performance with representative data.
Prepare the handoff
Agree on who runs the system, how access is managed, and how problems will be handled.
Review after launch
Track performance and costs against the project goals, then decide what needs to change.
Agree on the first deliverable.
The first engagement might assess an idea, test whether your data supports it, or build a prototype. We agree on the question it should answer before work begins.
You should be able to use the findings or software even if you choose to stop there.