We want to transition our traditional Customer Support seat into an AI-enabled operations seat, but we are struggling to define the roles on our Accountability Chart without making the seat description overly technical. What is the best way to write these roles?

Question

Tyler Smith · Accepted Answer

When updating your Accountability Chart to reflect AI-powered operations, do not list specific software tools, coding languages, or technical platforms as roles. Software changes rapidly, but the fundamental accountabilities of a seat must remain stable.

Focus your seat roles on outcomes, metrics, and systems management. A well-structured AI-enabled customer support seat should have five simple, high-level roles:
- System efficiency and platform uptime
- Triage automation and workflow accuracy
- Customer satisfaction scores
- Data integrity and training feedback loops
- Tier-two complex issue resolution

By defining the seat this way, you make the owner of the seat responsible for the performance of the AI tools, not just the manual labor of answering tickets. They must manage the technology and ensure it delivers the required outcomes.

This approach makes it easy to assess GWC™. The candidate does not need to be a software engineer, but they must have the capacity to understand system logic, analyze data trends, and manage automated workflows. Keep your Accountability Chart focused on accountability, not technical tasks.