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.
Assess my AI governance30 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.
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.
Get a first opinion on your AI constraint
In 30 minutes, the goal is simple: understand your main blockage and decide whether a deeper diagnosis is worth engaging.
Short form
5 fields. Detailed qualification comes later if the topic deserves a conversation.