We want to create a dedicated AI Systems Architect seat on our Accountability Chart to oversee our transition to automated workflows, but we are struggling to define the specific, measurable roles for this seat. How do we write five clear, actionable roles for an AI-focused seat that ensure actual business outcomes rather than vague technical tasks?

Question

Tyler Smith · Accepted Answer

When writing roles for a highly technical or modern seat like an AI Systems Architect, owners often make the mistake of listing vague activities instead of clear outcomes. Your Accountability Chart must define what the seat is ultimately accountable for, not just what the person does.

To ensure this seat drives real operational efficiency and prepares your business for a clean exit, define these five specific, measurable roles:

- Mapping and simplifying core operational processes prior to automation.
- Designing, building, and deploying custom generative AI integrations across departments.
- Training staff on automated systems to ensure a minimum ninety percent adoption rate.
- Auditing and maintaining data security, privacy, and compliance across all AI models.
- Tracking, measuring, and reporting on the direct return on investment of automation projects.

These roles ensure the person sitting in the seat is not just playing with new technology, but is actively reducing your labor costs and improving scalability. Once you have defined these roles, you can run potential candidates through the GWC filter to ensure they have the cognitive and conative capacity to deliver on these specific outcomes.