Takes.

AI is already in your enterprise. Not as a single initiative someone approved, but as dozens of local experiments, copilots, automations, and productivity hacks spreading faster than any governance structure can track.

One team runs copilots. Another automates workflows. A third builds something customer-facing. Meanwhile, security worries about exposure, legal worries about obligations, and nobody owns the whole picture.

The usual responses don't work. Blocking slows learning, not adoption. And letting things spread unchecked turns distributed enthusiasm into distributed risk.

There's a better starting point: capability mapping. Not "what tools should we allow," but "what must the enterprise be able to do" to let AI adoption happen without losing visibility, control, or accountability.

Five capabilities stand out. I've written them up in full, including where NIST, ISO 42001, and the EU AI Act fit in.