← Back to servicesResponsible AI
Explore useful AI opportunities without losing sight of risk, people or accountability.
For organizations that want evidence-based AI decisions—not experimentation driven by hype or fear.
The first question
Do you need to identify where AI is genuinely useful—or prepare one concrete use case for a responsible pilot?
Responsible adoption begins before choosing a tool. These options separate broad opportunity and readiness analysis from the deeper preparation of a selected use case.
01Find the right opportunities
Responsible AI Readiness
A structured review of relevant AI opportunities, organizational readiness and the safeguards that should come first.
What you receive
- Shortlist of AI use cases connected to real organizational needs
- Initial assessment of data, process, people and vendor dependencies
- Risk screening and prioritized roadmap for responsible next steps
Best when there is interest in AI but no shared view of where it creates value or what must be prepared first.
Estimated price: 1,200–1,800 €Delivery time: 2–4 weeks
02Prepare one use case responsibly
AI Use Case Governance Sprint
A deeper assessment of one selected AI use case to define value, boundaries, oversight and a controlled path to piloting.
What you receive
- Use-case definition, intended users, affected people and success criteria
- Assessment of data, human oversight, vendor, transparency and operational risks
- Safeguards, responsibilities and decision gates for a controlled pilot
Best when a concrete AI idea already exists and the organization needs to decide whether and how to test it responsibly.
Estimated price: 1,900–3,000 €Delivery time: 4–6 weeks
Clear scope
Responsible AI advisory supports better decisions; it is not a legal certification or technical model audit.
Where specialist legal, cybersecurity, data protection or model-testing expertise is required, the need is made explicit and can be coordinated as a separate workstream.