AI governance policy and team training

Short by design, so people actually read it: what is allowed, what is not, which tools are approved and how to ask for a new one. Detail goes into the approved tools list, which is easier to update. It is written to be read in a few minutes.

We never train models on your data. The approved tools list includes the settings that keep your data out of training, where the vendor offers them, so the rule is clear for each tool. Tools without such a setting are marked, with what may and may not go into them.

Yes. The policy follows your markets and your lawyer’s advice, the tools list notes where your markets differ, and training runs live on video in the hours our time zones overlap. Calls run in IST evenings, which is the US East Coast morning. Written reports arrive on a fixed day each week.

Every engagement is scoped after the free diagnostic, because spend, stack and goals vary. You get a written proposal with a fixed scope and price before you commit to anything, and you can stop after the diagnostic with the findings in hand.

A senior DGo strategist leads every engagement and stays your single point of contact. The proposal names your strategist, with their background, before you sign. Specialist work, such as legal takedowns or incident response, goes to specialist partners, also named in the proposal. We take on up to three engagements at a time, and no more than two monthly programs. When we’re full, we tell you the next start date before you book.

We’re based in Mumbai (IST). Calls run in IST evenings, which overlap with the European afternoon and the US East Coast morning. Written updates arrive on a fixed day each week, so nothing waits on a call.

The diagnostic is read-only. Paid work uses a named user with only the permissions the task needs, never shared passwords, and that access is removed when the work ends. Or your team applies the changes from our notes. NDA on request.