I am an old-school owner with no technical background, and my leadership team is pushing to adopt multiple generative AI tools. How do I maintain operational oversight and ensure we are not exposing our business to massive security or operational risks?

Question

Tyler Smith · Accepted Answer

You do not need to understand how neural networks operate to lead your company through an AI transition. Your job is to lead, manage, and hold your team accountable to the operational standards of your business.

Start by utilizing your Accountability Chart. Every AI tool must have a single owner who is fully accountable for its performance, data security, and output accuracy. This owner must exhibit GWC, meaning they get it, want it, and have the capacity to manage the tool.

Next, establish clear guardrails. Your leadership team must agree on a simple, one-page policy that details what information can be input into external models. For instance, proprietary client data, employee records, and sensitive financial models should never be uploaded to public AI platforms.

When your team proposes a new tool, ask three simple business questions. First, what specific operational problem does this solve? Second, who owns the maintenance of this tool? Third, how will we measure its success on our weekly Scorecard?

By keeping the discussion focused on accountability and business metrics, you keep your team grounded. Let your tech-minded team members handle the software configurations while you focus on protecting the business and ensuring all tools align with your V/TO.