AI policies
Give employees AI rules they can understand and follow
A useful AI policy should be specific enough to protect the business and simple enough for employees to use in daily work. It should reflect your real tools, data, workflows, and responsibilities.
When this helps
Common business gaps
Employees are unsure which tools are approved
Confidential or personal information may be entered into AI systems
AI-generated work is not consistently reviewed
The business lacks a clear approval and incident-reporting process
What you receive
Practical deliverables
Acceptable-use and prohibited-use rules
Approved-tool and data-handling guidance
Human-review and disclosure requirements
Vendor approval and exception process
Employee acknowledgement and rollout guidance
How it works
A clear path from question to action
01
Review current AI use and business obligations02
Draft rules in plain language03
Validate the policy against real employee workflows04
Support rollout, questions, and future updatesFrequently asked questions
Questions about AI Policy Development
A template can be a starting point, but it should be adapted to your actual tools, data, clients, contracts, and workflows. Generic rules may be too broad to follow or too weak to manage real risks.
It can identify approved tools while also defining a process for future tools. This keeps the policy practical without requiring a full rewrite every time technology changes.
Review it when new tools or high-impact use cases are introduced and on a regular schedule. A small business may choose an annual review with interim updates when meaningful changes occur.
Next step
Build AI controls that fit your business
Tell us how your team currently uses AI and what you want to improve. We will help you identify a practical next step.
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