Mist rising off still water at the edge of a dense treeline

Business practice

Shadow AI exposure.

Know exactly what your team is putting into AI tools, what customer data went with it, and what to do about it this week. This shadow AI risk assessment for SaaS and AI companies takes about ninety minutes of your time and a five-question anonymous team survey.

You haven't asked your team what they're using. Not because you don't care, but because you're not sure you want the answer.

The tools arrived without a decision. Someone tried one on a deadline, it worked, and it spread: support transcripts summarized, account notes cleaned up, a contract redline checked, a stubborn bug pasted in along with the code around it. Nobody filed a request, nobody signed anything, and the first time it comes up is when an enterprise customer's security questionnaire asks whether you have a written AI policy. You suspect the honest answer, and you'd rather not put it in writing.

Two weeks from now, you're somewhere else. You know which tools are in use, who's using them, and which kinds of customer data have passed through them. You have a short list you can act on right away and one longer item that needs real work. The uncertainty is gone, and what replaces it is a decision you get to make on purpose.

The approach

Ask, map, then act.

Ask anonymously.

Nobody tells the CEO they pasted a customer's account data into a chatbot. They'll tell an anonymous survey, and they do. The gap between what leadership believes and what the team reports is the finding, and it's almost always wider than expected.

Map the data.

A tool list isn't exposure. Exposure is which kinds of information moved into which tool, under whose account, and whether that vendor trains on what it receives. That mapping turns a vague worry into a specific, finite list.

Act this week.

Every exposure review ends with three things you can do right away at no cost, and one thing that will still be there in six months if nobody owns it. Knowing the difference is most of the value.

The situation, in numbers

Allowed, but not taught.

77%

Of US desk workers say their company allows AI

32%

Say their company provides AI training

23%

Of individual contributors say they get AI training, against 50% at manager level and above

Source: BambooHR's 2025 survey of 1,502 US full-time desk workers. Figures are industry research, not client results.

Mist rising off still water at the edge of a dense treeline

Recognize this

You already know the answer to one of these.

  • You couldn't name every AI tool your team uses today.
  • Nobody has ever formally approved a tool, and several are clearly in use.
  • A security questionnaire or your cyber renewal asked about AI, and the answer was uncomfortable.
  • Someone on the support team is closing tickets noticeably faster than last year, and nobody's asked why.
  • You've thought about raising it in a meeting and decided the timing was never right.

The work

Four steps, about ninety minutes of your time.

The leadership conversation

Thirty minutes with the person who signs off, usually the CEO, COO or founder. Six questions covering what you believe is in use, what data touches it, who approved it, what happens when a key person is out, where work gets redone, and what you bought this year that nobody opens.

The anonymous team survey

Five questions, two minutes to answer, sent under your name. Anonymity is the point. This is where the accurate picture comes from, and it's the half of the exercise an assumption can't replace.

The exposure map

One page, back within seventy-two hours. Tools in use against tools approved. The data at risk, from support transcripts and account data to contracts and source code. The specific places where a confidentiality clause in a customer contract and a free AI tool are currently in the same sentence.

The short list

Three things you can do this week without spending anything, and one item that needs real ownership. Useful whether or not the conversation goes any further, which is how a diagnostic should be built.

Questions

Asked before, answered plainly.

Stop guessing what's in use.

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