AI adoption handled like any other system that touches your data — with governance, defined boundaries, and visibility, rather than a policy written after something goes wrong.
Our Position
Almost every organization we assess has staff using AI tools that nobody formally approved. That’s not a discipline failure — the tools are useful and freely available. But client material and regulated data are being sent to services nobody assessed, under terms nobody read, and the business has no record of it.
Our approach is neither prohibition nor enthusiasm. Find what’s in use, evaluate it properly, sanction a path that’s good enough that people take it, and keep reviewing as the terms change.
The Cluster
Policy, approved tooling, data boundaries, and the review cycle that keeps them current.
Deployments where your data stays inside your environment and isn’t used to train anyone’s model.
Automation that takes actions in real systems — which makes permissions and auditing the whole question.
Start with discovery. You can’t govern what nobody has counted.
