Governance

A good AI strategy does not start with tools, it starts with your organization. Together we map out where AI pays off most and what that requires. We turn that into a roadmap with clear choices. Not a thick report, but a plan you can act on tomorrow.

• A roadmap with priorities for the period ahead
• Clear choices: where to use AI and where deliberately not
• A plan that both management and the shop floor understand

Read more about AI strategy and roadmap →

AI use without agreements leads to shadow use and unnecessary risk. We put workable policy in place: who can do what, with which tools and under which conditions. With a governance framework that fits the size of your organization. Not a paper tiger, but agreements people actually follow.

• AI policy in plain language, ready to use
• A framework with clear roles and responsibilities
• Agreements on oversight, escalation and periodic review

Read more about policy, frameworks and roles →

The EU AI Act sets requirements for how you use AI, the GDPR for how you handle personal data. We test your AI applications against both and turn the outcome into concrete actions. So you know exactly where you stand and what still needs to happen.

• Risk classification per AI application
• A clear overview of obligations and open items
• Concrete next steps, sorted by priority

Read more about the assessments →

What AI is actually running in your organization? Usually more than you think. An AI register makes that visible: one place with all AI applications, their risk class and who is responsible for each. So you keep the overview and can prove you are in control.

• One up-to-date overview of all AI applications
• Risk classification under the EU AI Act
• A working process to keep the register current

See the AI register →