Our employees want to use AI tools for daily work, but we lack a clear process for vetting and approving new software requests. How do we create an internal AI acceptable-use policy and approval workflow that prevents tool sprawl?

Question

Tyler Smith · Accepted Answer

A twenty-page corporate policy written by lawyers will be ignored, leading straight to shadow IT where employees paste company files into free consumer accounts. You need a practical, two-page AI Acceptable Use Policy paired with an operational approval gate on your Accountability Chart.

Start by designating one seat, typically your Integrator or operations director, as the single point of approval for AI tooling. Require any employee proposing a new tool to answer three simple questions:

- What documented SOP or cumbersome operational bottleneck does this tool streamline?
- What specific business data will enter the model, and does the vendor guarantee zero retention for model training?
- What measurable employee capacity will this unlock, and what P&L expense does it offset?

Next, lay down non-negotiable guardrails in your written policy:

- Zero sensitive customer personally identifiable information, proprietary source code, or unredacted financial records may be entered into public, non-enterprise AI platforms.
- All AI-generated deliverables must be audited and verified by a human sitting in an accountable seat before reaching a customer or vendor.
- Any software subscription not approved by the Integrator will not be reimbursed and will be blocked at the domain level.

Review approved tools during your quarterly planning sessions to prune redundant subscriptions and ensure your tech stack stays lean and exit-ready.