Map the uses
Where is AI used in the product? Which actors, data and suppliers are involved?
An inventory of uses and dependencies.
Series · The i-Discover case
Understand AI governance through the practical questions raised by a product. An educational series using i-Discover as its running example.
i-Discover connects governance topics to product, data and architecture decisions. Each instalment will begin with a question, show how to analyse it and introduce a practical deliverable.
Discover the i-Discover productThe planned editorial journey
The programme below outlines the planned topics. Articles will be added as they are published.
Where is AI used in the product? Which actors, data and suppliers are involved?
An inventory of uses and dependencies.
What is its intended purpose? Which roles and EU AI Act requirements need examination?
A system record and qualification analysis.
What information is sent, stored or reused? Which assurances need verification?
A data and supplier review checklist.
What makes a response useful? What happens when it is incomplete, incorrect or inappropriate?
Evaluation criteria and a verification protocol.
How should users be informed? When should a person check, decide or intervene?
Information and oversight rules.
What needs review when the model, supplier or product scope changes?
A decision log and a change review procedure.
From reading to your organisation
The same questions arise in SMEs, software companies and product teams. I can help address them in your context: an inventory, EU AI Act diagnostic, governance framework or architecture review.
This is an educational series. It does not present i-Discover as a certified compliant product and does not replace an assessment of another system’s context.
Start with your situation
AI use to govern, an application to build or a technical decision to make? Tell me about your context.

An initial conversation without commitment. Remote engagements, with on-site sessions agreed where useful.
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