We want to encourage our employees to find efficient ways to use AI, but we cannot have them installing rogue browser extensions and uploading customer data to random platforms. How do we build a lightweight, operational approval process for new AI tools without slowing our team down?

Question

Tyler Smith · Accepted Answer

You must balance the entrepreneurial drive of your team with strict operational security. Trying to block AI tools entirely will only drive your high Quick Start employees underground, creating massive data liabilities. Instead, you need a structured but fast approval process integrated directly into your existing EOS operational framework.

First, assign clear ownership of your technology stack on the Accountability Chart. Typically, the Integrator or an operations lead owns this seat. This person is responsible for maintaining the list of approved corporate AI tools.

Second, establish a simple submission process for new tools:

- Employees must submit a brief request stating what the tool is, what operational friction it solves, and what data it will access.
- Bring these requests to your weekly Level 10 Meeting and place them on the Issues List.
- Use the IDS process to discuss the tool, evaluating it against your data security standards and your V/TO goals.

If the tool passes IDS, the seat owner adds it to your approved tech stack and documents the acceptable use cases in your core processes. This approach keeps your company secure while encouraging your team to actively innovate and find new efficiencies without bureaucratic delays.