We want to empower our leadership team to build AI efficiencies, but we are struggling to define who actually owns the AI policy and usage guidelines in our business. How do we assign this responsibility on our Accountability Chart without creating a bottleneck or a bureaucratic IT department?

Question

Tyler Smith · Accepted Answer

To govern AI effectively without creating bureaucratic bottlenecks, you must assign ownership of your AI policy to a specific seat on your Accountability Chart. In most entrepreneurial operating companies, this responsibility naturally falls to the Integrator or the head of operations.

The seat owner must ensure that every tool used by the team meets basic security standards and aligns with company data policies. Rather than creating a multi-page document filled with complex guidelines, your AI policy should focus on three clear rules: do not paste proprietary data into public models, always maintain a human-in-the-loop for client-facing work, and document every new use case.

When evaluating who should manage this, look at who has GWC, meaning they get, want, and have the capacity to lead this effort. This person does not need to write code. Instead, their role is to ensure that AI usage serves your V/TO® and does not expose your intellectual property.

They should run a simple inventory of all AI tools currently in use across the business. By centralizing this responsibility, you prevent shadow IT and ensure that your team stays focused on prioritizing use cases that improve operational efficiency, freeing employees from low-value tasks for higher-value strategic work.