gemini enterprise · deploy, secure, adopt

Rolling it out to a whole company: identity, data, guardrails and the people

An enterprise AI assistant is only partly a technical project. Half of it is plumbing that has to be right before anyone logs in, which identity provider, which data connectors, whose documents each person may see, what the model is allowed to say. The other half is getting several thousand people to actually use it. Twelve sections, plain English first, and simulations for the decisions that are hard to undo.

Try it: switch on prompt logging, in the wrong order

Try this: logging what people typed is the most useful thing you can turn on and the one with a prerequisite chain. Try it out of order and see which door will not open, one of the blockers is not technical at all.

in real lifeFitting a CCTV camera. There is a technical order (power before recording) and a legal one, which is that you need permission before you point it at people.

start bytick log the full prompt and response content on its own, before anything else.

words hereinstrumentation the plumbing that emits traces and logs at allconsent permission to hold what people typedprompt content the words a person actually wrote, treated as their data