We want to introduce AI-driven content generation and automated customer support, but our leadership team is divided on whether these automated tasks belong under the Marketing seat or the Customer Service seat. How do we resolve this operational confusion?
When implementing AI tools, leadership teams often fight over who owns the technology. To resolve this, you must look directly at your Accountability Chart. Do not create a separate AI seat or assign automated tasks to a technology silo. Instead, apply the GWC™ framework to your existing seats. If AI-driven content generation is being used to acquire leads, the accountability for that output belongs under the Marketing seat. If automated support systems are being deployed to resolve customer issues, that accountability belongs under the Customer Service seat. The leader occupying the seat must get, want, and have the capacity to manage the automated system, even if they do not write the code themselves. They are responsible for the performance metrics, the quality of the outputs, and the integration of these tools into their department's core processes. If a leader lacks the capacity to manage an AI-powered system, you must either train them or restructure the seat. By anchoring AI accountability to specific, measurable outcomes on your Accountability Chart, you ensure that automated systems drive efficiency rather than creating operational confusion or data silos.
Category: EOS Implementation