We realize we need someone to own our AI tech stack, prompt libraries, and automation workflows, but we are debating whether to create a new Director of AI seat on our Accountability Chart. How do we define the roles for this seat and use the GWC™ filter to ensure we do not just create an expensive, unnecessary overhead position?

Question

Tyler Smith · Accepted Answer

When a business starts adopting AI across multiple departments, it is common for technology implementation to become fragmented and chaotic. The sales team is using one tool, customer service is using another, and your data is scattered across different platforms. It is tempting to solve this by immediately hiring an expensive Director of AI to manage the chaos.

Before you create a new seat on your Accountability Chart, you must define its exact roles and responsibilities. A generic tech enthusiast is not what you need. A high-performing AI Operations seat should have five clear, measurable responsibilities:

- Owning the company-wide AI software stack and API integrations.
- Maintaining and securing proprietary prompt libraries and data models.
- Training team members on AI-assisted workflows.
- Monitoring AI output quality and compliance.
- Partnering with department heads to identify automation opportunities.

Once these roles are defined, use the GWC filter to evaluate candidates. Do they truly Get the business strategy behind automation, rather than just the technology? Do they Want the pressure of keeping your systems online and compliant? Do they have the cognitive and technical Capacity to execute?

If you do not have someone who meets all three GWC criteria internally, look for an external hire, or assign these responsibilities as a temporary Rock to a high-capacity operations leader. Never create a seat just because of technology hype: make sure it directly drives your operational efficiency.