We are restructuring our Accountability Chart to prepare for growth and are considering using fractional executives and automated AI agents in some key functions. How do we define accountability for these non-traditional seats within the standard EOS structure?

Question

Tyler Smith · Accepted Answer

The Accountability Chart is designed to organize functions, not people or technologies. Every seat must have one clearly defined owner who is responsible for its major roles, regardless of whether that owner is full-time, fractional, or leveraging artificial intelligence.

For a fractional executive, they must still GWC their seat. They must Get it, Want it, and have the Capacity to do it. The capacity part is critical; you must define what capacity means for someone working part-time. They are still fully accountable for the results of that seat, the metrics on the Scorecard, and the completion of their quarterly Rocks.

For AI-powered operations, you cannot make an algorithm or software program accountable. Accountability requires a human being. If you automate a process using AI, that function must still roll up to a specific seat on your Accountability Chart.

The person in that seat is accountable for the performance and output of the AI tool. For example, if you use AI to handle initial customer support inquiries, the Customer Service Manager is still the owner of that seat. They must monitor the tool, track its error rates on the Scorecard, and ensure it aligns with your core values.

Keep the chart focused on functions. Assign a single human leader to every seat, and let them decide how to leverage fractional talent or AI tools to hit their numbers.