Operations
A Small-Team AI Policy You Can Actually Use
A useful AI policy is short, specific, and easy to follow. This guide helps founders and managers get to clear rules without slowing people down.
AI tools are most useful when they are attached to a specific job. For founders and managers, the goal is not to add another shiny tool to the stack. The goal is to create a repeatable workflow that produces a better decision, draft, prototype, analysis, or handoff.
A useful AI policy is short, specific, and easy to follow.
In practice, that means using a shared policy doc as part of a bounded process. Give the tool enough context to be useful, keep the output connected to real work, and make the human review step explicit.
The Workflow
Use this as a simple starting point. The exact details can change, but the sequence keeps the work focused.
Name approved tools
Define sensitive data
Explain review expectations
Set update cadence
What Good Looks Like
The output should make the next step easier. If the workflow ends with more ambiguity, more tabs, or a longer list of unresolved ideas, it is not doing its job.
A strong result gives you clear rules without slowing people down. It should also leave a trail: what information went in, what assumptions were made, and what still needs human judgment.
Common Mistakes
Writing legalistic docs nobody reads
Ignoring real workflows
Bottom line
Keep the human edit in the loop.
Start small, make the workflow observable, and keep responsibility with the person doing the work. AI should reduce friction, but it should not remove taste, judgment, or accountability.
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