AI in practice — from business need to responsible adoption.
A useful AI initiative starts with a clear purpose. I help connect business priorities with data, architecture, security and accountable decisions, so that an idea can become a well-defined, testable next step.
For organisational leaders, IT and security teams, and process owners considering AI, reviewing an existing application or preparing a pilot.
Clarify the task, the people affected and the intended outcome. Compare AI with other ways of improving the process, and examine the assumptions behind expected benefits, costs and effort.
A prioritised use case with an explicit purpose and success criteria.
02
Are the foundations ready?
Review data quality, access rights, architecture, integration and security. Identify dependencies on suppliers and existing systems, together with the capabilities needed to operate and maintain the application.
A readiness assessment with material gaps, dependencies and priorities.
03
How will AI be governed?
Define ownership, permitted use, human oversight and the handling of errors. Examine the organisation’s role, the use case and relevant requirements, including the AI Act and GDPR where applicable.
A proportionate governance approach with clear responsibilities and controls.
04
How should we start and evaluate?
Set a manageable pilot scope, test with representative cases and agree acceptance criteria. Assess quality, limitations, costs and operational demands before deciding whether to change, scale or stop the application.
A pilot and evaluation plan supporting a reasoned deployment decision.
Concrete outputs, agreed to fit the question.
A review of candidate use cases and their expected business value.
Documented findings on readiness, risks and required decisions.
A governance outline with ownership, oversight and evidence requirements.
A prioritised action plan with pilot scope and acceptance criteria.
AI Act · GDPR · Data Act
AI Act, GDPR and the relevant context.
Requirements depend on the jurisdiction, the organisation’s role, the purpose of the system and the data involved. The AI Act, GDPR, Data Act and sector rules may raise different questions. We establish which requirements are relevant and connect them to practical decisions and evidence, with specialist legal input where needed. A readiness assessment supports this work; it is not a blanket confirmation of compliance.
Official reference points
These sources provide context. Applicability and the current requirements need to be checked for the specific engagement.
My approach draws on experience in ICT leadership, architecture, information security and the evaluation of research and innovation projects, including EU evaluator and EIC jury roles. The published portfolio examples and qualifications explain that background. Phi Assistant on this site illustrates a conversational interface and enquiry preparation; an organisational deployment requires its own scope, testing and acceptance.
A short description of the process, the intended result and your current situation is enough to begin. We can clarify the question and agree an appropriate scope. Keep confidential documents and case details for an agreed direct exchange.
A clear starting point The first conversation clarifies your problem, the intended outcome, the available evidence and the possible scope of work. We agree the next step together.