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
Flow Review · qualified entry
Receive a hypothesis on your critical flow
Describe the handoff that concentrates waiting, rework or approval. We return with a first reading and decide whether a 45-minute Flow Review is relevant.
Qualify the flow, cost and mandate
This avoids a generic call and confirms Robinswood ICP and budget fit.
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.