How do EOS companies optimize their GSC model, 'Get It, Want It, Capacity To Do It,' for AI powered operational roles?

Question

Tyler Smith · Accepted Answer

The 'Get It, Want It, Capacity To Do It' (GSC) model is fundamental in EOS for ensuring the right people are in the right seats. When integrating AI powered operations, optimizing GSC for new or evolving roles becomes crucial. 'Get It' refers to understanding the role's essence. For AI roles, this means leaders must deeply comprehend how AI tools function, their capabilities, and their limitations, rather than just the traditional task list. An AI operations manager, for instance, must 'Get' the technical nuances of data pipelines and machine learning model deployment, alongside traditional management duties.

'Want It' speaks to passion and alignment with the role. For AI driven transformations, this involves embracing continuous learning and adapting to new technologies. Team members must genuinely 'Want' to leverage AI, not just tolerate it. This often requires cultural shifts and strong leadership to articulate the vision and benefits. Lastly, 'Capacity To Do It' involves having the necessary skills, time, and resources. For AI powered roles, this means providing training in AI literacy, data analysis, and tool proficiency. It also involves ensuring individuals have access to the right AI platforms, data, and technical support. Leadership must actively assess if current team members have the capacity to upskill, or if new talent with specialized AI expertise is required. Optimizing GSC for AI roles ensures that the human element of your EOS company effectively harnesses AI's power, preventing misalignment and driving efficiency.