Start with the operating reality. Not the model.

We turn AI ambition into an executable portfolio grounded in business workflows, data readiness, risk and organizational capacity.

Discuss your AI roadmap

The Numezis system · 01

Where can AI create defensible value — and what must be true first?

The result is not a slide deck of use cases. It is an investment logic, a controlled portfolio and a first delivery sequence.

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What changes

A common executive thesis

Fewer disconnected pilots

Clear ownership and funding

A roadmap engineering can execute

The work

Value before volume

We score opportunities on materiality, feasibility, risk and time-to-learning — not on how impressive the demo looks.

Workflow-level diagnosis

We locate decisions, handoffs and knowledge bottlenecks before selecting a technical pattern or vendor.

Readiness made explicit

Data access, architecture, controls, skills and change capacity become visible prerequisites, with named owners.

Case study

From 43 ideas to 3 funded initiatives: the AI portfolio of a Swiss industrial group

How a Swiss industrial group turned 43 AI ideas and three stalled pilots into a portfolio of three funded initiatives — method, controls, measured results.

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Candidate ideas43 → 3 funded initiatives

Initiatives with owner and baseline0% → 100%

Pilots without exit criterion3 → 0

Anonymised case — representative example from real Numezis engagements

Make the next decision explicit

Start with the situation you actually have.

In a first working session, we frame the decision, the evidence required and the smallest credible next step.