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Your team is using AI. You probably don't have a policy for it.

If you're running a small team, your people are almost certainly using AI. They're drafting emails with it, summarizing calls, writing first versions of things that used to take them hours. You probably use AI too.

What you probably don't have is any shared understanding of how your team should be using it.

A recent Founder Reports survey of 2,078 U.S. workers found that 59% of workers at companies with fewer than 10 employees say their employer has no clear AI policy or they aren't sure if one exists. That's the highest rate of any company size in the survey. And it's not because small companies are using AI less. Adoption rates are comparable across companies of all sizes. The difference is that nobody at a small company has been assigned the job of figuring out the rules.

If you're the founder, that job is yours. And the data makes a pretty strong case for doing it soon.


The Numbers Worth Knowing

Here's what the survey found across all 2,078 respondents:

  • 89% of workers have used AI for work. 60% use it daily or weekly.
  • 44% say their employer has no clear AI policy or they aren't sure one exists.
  • 45% have had to fix or redo a coworker's work that relied too heavily on AI. Among daily AI users, 59%.
  • 43% trust a coworker's output less when they know AI was involved.
  • 77% review AI-assisted work more carefully when they know AI was used.

If you have a small team and no AI policy, these dynamics are already at play. You just might not be seeing them yet.


Why Small Teams Feel This More

At a larger company, one person submitting sloppy AI-generated work gets absorbed. There are layers of review. There's a manager who catches it before it’s too late. There are enough people on the team that one weak deliverable doesn't define the whole operation.

At a four-person startup, none of that infrastructure exists. If someone sends an AI-drafted client proposal that's full of errors, it goes straight out the door with your company's name on it. There's no safety net between the person who produced it and the person receiving it.

🔑 Key Insight: 59% of workers at companies with fewer than 10 employees report no clear AI policy, compared to 34% at companies with 1,000+ employees. Small companies are adopting AI at the same pace but with far less structure.

What a Small Team AI Policy Actually Looks Like

This doesn't need to be an in-depth document. It can be very simple, as long as it’s clear, and your team members know it exists. Here's what it should cover.

What's fair game and what needs a closer look. Brainstorming, research, first drafts, internal notes? Probably fine. Client-facing deliverables, anything involving money, legal exposure, or something published under your company's name? These things probably need a real human review before it goes out. The specific lines depend on your business, but they should be drawn explicitly so nobody's guessing.

Who owns the quality. Accountability gets fuzzy when everyone's moving fast and AI output looks polished at first glance. The survey found that 77% of workers already review AI-assisted work more carefully. A quality ownership standard just formalizes what most people are already doing instinctively.

How you frame it. One counterintuitive finding from the survey: workers at companies that allow AI with restrictions report 52% distrust of AI-assisted work, compared to 28% at companies that allow it without restrictions. Heavy restrictions may signal to your team that AI output is inherently untrustworthy. You'll get better results framing the policy around quality and ownership ("here's what good work looks like") rather than around prohibitions ("don't use AI for this").

Before you write anything down, ask your team two questions: "Where are you already using AI?" and "What concerns do you have about how others are using it?" You'll learn more in that five-minute conversation than you will from any policy template.

Just Do It This Week

All you need is a short conversation with your team and a few clear expectations written down somewhere everyone can reference. A shared doc, a Notion page, a Slack pinned message. The format isn’t important.

That one step puts you ahead of the majority of companies. And it protects the three things your business runs on: the quality of your work, the trust your clients place in you, and the confidence your team has in each other.

The full study, including breakdowns by department, seniority, company size, and employer policy type, is available at founderreports.com.

on May 6, 2026