A guide to governing AI usage inside the enterprise
Where an organization starts when it wants to govern usage, not ban it: inventory, classification, an enforced policy, a reviewable register — in six steps.
RESOURCES — GUIDES
Five practical guides that walk you from "where do we start?" to working governance: the problem stated plainly, then principles, numbered steps, and evaluation questions to test yourselves — no long theory.
This library is five practical guides to governing enterprise AI usage: building governance from zero, reducing shadow-AI risk without blocking, writing an enforceable policy, moving from ban to governance, and reviewing tools before adoption. Each guide opens with the problem and ends with numbered steps and evaluation questions.
THE LIBRARY
Read in order or enter from your problem — all five meet at the same gate: identity, permission, balance, record.
Where an organization starts when it wants to govern usage, not ban it: inventory, classification, an enforced policy, a reviewable register — in six steps.
The shadow isn't cornered by blocking; it's cornered by an easier alternative: five steps that move usage from personal accounts into the register — no manhunt.
Most policies die the day they're signed — written to be read, not enforced: six steps that turn text into switches checked on every request.
How an organization exits a ban without the exit looking like retreat: quiet measurement, a maturity announcement, a working alternative, then gradual lifting measured by the register.
Approval requests pile up while each gets judged by its reviewer's mood: six steps that standardize the questions and make every decision a citable record.
THE REST OF THE LIBRARY
Print the guide that fits you, tick its companion checklist, then bring the hard questions — we answer plainly, even when the answer is no.