AI governance · Real usage
Useful AI governance starts from real uses, not from a generic policy.
Robinswood structures governance around your flows, risks and responsibilities so AI remains controllable and maintainable.
- AI use register and risk level;
- decision and escalation roles;
- simple rules for data, tools and validation;
30 minutes
First conversation: maturity level and priority angle.
In 30 minutes, we identify whether your urgency is use inventory, risk register, policy or operational steering.
Fast qualification
- Human reply within 24–48 business hours
- No tool selling before diagnosis
- Short form, enough context
Initial response within 24–48 business hours
No automated sales follow-up after the form
Not an ERP, RPA or n8n reseller
Free qualification call · 30 minutes
Schedule the qualification call
30 minutes to check scope, mandate and the best next step. If the topic is a fit, the €5,000 audit becomes the next stage.
Describe the flow to audit and the decision level
Start with the flow and blockage. Your contact details and optional qualification follow in the next step.
Your governance is fragile if
- AI uses already exist but are not inventoried;
- no one knows who validates sensitive use cases;
- data rules vary across teams;
- expected gains are not monitored;
- compliance, IT and business teams move separately.
What the framing produces
- AI use register and risk level;
- decision and escalation roles;
- simple rules for data, tools and validation;
- 30 to 90 day governable adoption plan.
Best fit
- leadership teams that want to industrialize without chaos;
- IT, business and compliance functions;
- organizations moving from informal AI tests to durable uses.
Preuve terrain
The frame must survive daily work
In a mid-market company, AI governance became operational by connecting each use case to an owner, allowed data, validation level and gain indicator. The topic moved from theory to management.