You don't have to settle whether AI is good or bad to make a smart call about using it at work. The real questions are about your work, your data, and your values — and those look different for every team.
We don't arrive with a fixed set of values to impose. We work with you to understand what matters to your organization, then find approaches that fit it.
a Built by ONO playbook · work in progress · builtbyono.com
Four questions to work through, then what belongs in a policy.
Usually contested internally.
Where the debate happens.
The part worth getting exact.
Fewer, properly vetted.
Free ChatGPT, Gemini inside Google. The real choice is sanctioned use with guardrails versus shadow use you can't see.
Drafting a public blog post and summarizing a confidential case are not the same risk — even in the same app.
Our take, held loosely: a ban you can't enforce tends to push AI use out of sight, where no guardrail can reach it. So we lean toward sanctioned use with clear limits — some uses allowed, some restricted, some off the table.
These concerns don't get "solved," and we won't rank them for you. Which ones matter most is your call — naming the one in front of you points to the guardrail it's asking for, and that's where we start.
When a value matters to you, we look for a concrete way to honor it — not just a line in a policy. One example: to lower the environmental cost of hosting, we put a recent build in Iowa, on Google Cloud, one of the greener regions on the grid. Small and imperfect, but real — and the kind of solution we'll work with you to find.
Free ChatGPT / Gemini may train on your inputs and retain data. Business / Enterprise / Team tiers can be configured so your data is not used for training and retention is off.
The brand can be identical; the data handling is not. Anything past public data runs on a vetted enterprise tool, not a free consumer login.
A starting point, not a verdict — move the lines to fit your work and your values.
Assume anything you type could be breached or subpoenaed. That set of data is the Red list — the part worth getting exactly right.
Fewer tools means a smaller vetting surface. Built by ONO and Personified can run the vetting on 1–2 finalists.
A ban you can't enforce moves AI use out of sight. A good, guardrailed tool that's actually available removes the reason to work around it. That's where we start — then we shape the specifics around your values and how your team actually works.