AI Adoption
Your team is already using AI. We help you make that safe — without slowing it down.
Copilot, Gemini, Claude, ChatGPT, and the AI features appearing inside tools you already own. The productivity case is real. So is the data-exposure case. We help you get the first without the second.
What we hear from buyers like you
“Half the company is pasting things into ChatGPT. We have no policy, no visibility, and no idea what's leaving.”
“We want to roll out Copilot, but we're not sure what it will be able to see across our tenant.”
“A vendor just added AI features to a tool we already use. Legal wants to know if our data is training someone's model.”
What secure AI adoption actually requires
Visibility into shadow AI
Before you can set policy, you need to know what's in use. OAuth grants, browser extensions, and sign-in logs reveal which AI tools your team has already adopted — sanctioned or not.
Data boundaries before rollout
Copilot and Gemini surface whatever the signed-in user can reach. If your file-sharing permissions are loose, an AI assistant makes that oversharing searchable. Fix permissions first, then roll out.
Third-party AI review
Vendors are adding AI features to tools you already pay for. Each one needs the same questions answered: what data does it access, where does it go, and does it train on your content.
A usage policy people follow
Bans don't work — they just push usage into personal accounts you can't see. A workable policy names the approved tools, the data that stays out of them, and who approves new ones.
How we help
We start with a Posture Check that includes AI usage discovery — which tools are in use, what they can access, and where your sharing permissions would let an AI assistant surface things it shouldn't. A Tune-Up then closes the gaps before or alongside your Copilot or Gemini rollout, and we leave you with an AI usage policy your team will actually follow.
See engagement tiersWhat you can expect
Typical engagement: two to six weeks from discovery to a hardened rollout and a working AI usage policy.
- →Inventory of AI tools in use across your environment — sanctioned and shadow
- →Permission and file-sharing review so Copilot or Gemini can't surface what it shouldn't
- →Security review of the third-party AI features inside tools you already rely on
- →A practical AI usage policy — approved tools, data boundaries, approval path for new ones
- →Briefing for your team on using AI tools without leaking customer or company data
Related reading
The frontier AI attacker toolkit: what changed this year and what it means for your tenant
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Finding shadow AI in Microsoft 365 and Google Workspace: a practical discovery walkthrough
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Why Copilot rollouts expose old file-sharing sins — and the permissions cleanup to do first
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