From ambition to a use case in production.
Six steps, in this order. Each one ends with a deliverable you keep and an exit condition: if it is not met, we stop there rather than build on a weak assumption. Scaling is the last step, never the first.
Our method
Six steps, a deliverable at each one.
Open a step for what you keep at the end of it, what we need from your teams and the condition to go on.
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Understand
We look at the process, the data and the people who own the decision, to find where intelligence creates value.
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- Deliverable
- A shortlist of use cases, each with its owner, the data involved and the gain expected in operational terms.
- Your team's part
- A business owner for each process, interviews with the people who do the work, and access to sample data.
- Exit condition
- A shortlist of use cases, each with an owner who wants it and a gain that can be stated in operational terms. No owner, no use case.
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Design
We frame the use case: success criteria, systems, data, constraints, and what is automated, recommended, approved or escalated.
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- Deliverable
- A scoping note with the success criteria, the starting point measured today, the systems involved and the level of control of each action.
- Your team's part
- The owner approves the success criteria; your IT team confirms the systems, access and security rules.
- Exit condition
- A written starting point, the current figure measured before anything is built, and the threshold at which the solution is worth keeping.
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Validate
We build the smallest solution that can run in operations, on your real data, and check its quality.
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- Deliverable
- A working solution and an evaluation report, measured on a test set your teams approved as representative.
- Your team's part
- Test users try the results; your experts check the test set and the answers.
- Exit condition
- It runs on real data, not an extract, and its quality is checked against an evaluation set your teams accept as representative.
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Integrate
We connect the solution to your data, applications, workflows and controls.
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- Deliverable
- The solution live in an existing workflow, with permissions, an audit trail, a rollback plan and user documentation.
- Your team's part
- IT opens access and environments; key users are trained and take part in the go-live.
- Exit condition
- The result lands in a workflow someone already uses, with permissions, an audit trail and a defined rollback. Not a second screen to check.
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Measure
We measure again, the same way, against the starting point agreed at the outset.
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- Deliverable
- A results report against the starting point.
- Your team's part
- The owner reviews the results with us.
- Exit condition
- The starting point is measured again the same way. A result that cannot be compared with it is not a result.
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Scale
We extend only where the measured results justify it.
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- Deliverable
- A plan for the next scope, site by site or process by process.
- Your team's part
- The owner decides what is extended, and what stays at its current scope.
- Exit condition
- Extension is decided on measured evidence, site by site or process by process. Some use cases rightly stop at one scope.
What stays true at every step.
Three commitments that hold from the first workshop to the results report.
People keep the decisions that matter
Every action is placed at a level of control before it runs: automated, recommended, approved or escalated.
Quality is checked, then watched
An evaluation set agreed with your teams, then monitoring that tells you when quality drifts.
Built to be maintained
Documented, owned and operable after we leave, with inovasys.ma for long-term operation.
Four levels of control
Automated, recommended, approved or escalated: who carries each action.
See the four levels of control
Have a process in mind? Let's start with the first step.