The last module turns the first three into something you can act on.
We draft the shape of a policy your organisation would actually follow: who approves the use of a tool, what gets written down, who to tell when something goes wrong. Short enough that people read it, specific enough that it settles arguments.
What we cover
- An owner Deciding who owns AI decisions, and making sure that person exists.
- An approval route Proportionate to the risk, rather than one that blocks everything.
- What to log And why the audit trail matters more than the policy document.
- The rules The ones you are already subject to, in plain English.
- Reviewing it How often, prompted by what.
Who it suits
Leadership teams, and whoever will be handed responsibility for this afterwards. Bring them both.
