Our team members are secretly using personal AI accounts to do their work and we have no visibility. How do we write a clean, operational AI policy that encourages innovation but requires them to register their use cases?

Question

Tyler Smith · Accepted Answer

Shadow IT is a massive operational liability, but cracking down with a heavy-handed ban will only drive the behavior further underground. You need a simple, practical framework that makes registry easy and keeps your data secure.

Start by establishing a three tier classification system for AI tools in your company playbook. Tier one is approved, company licensed tools. Tier two is proposed tools that need evaluation. Tier three is strictly prohibited tools, which includes any public, non-enterprise platform where company data is used to train public models.

Create a simple, one page registration form on your internal company portal. To use a new tool, a team member must answer three questions:
- What specific operational task does this tool automate?
- What company or client data will be entered into the system?
- How will you verify the accuracy of the output?

Review these submissions during your weekly leadership team Level 10 Meeting™ as part of your IDS® process. If a proposed tool is safe and adds value, approve it and add it to your official company tool kit. If it poses a security risk, find an enterprise alternative that offers data privacy.

This approach changes the culture from sneaking around to shared innovation. It keeps your business safe while encouraging your high Quick Start team members to find creative ways to streamline their seats.