How can AI be leveraged to optimize the EOS GWC (Gets It, Wants It, Capacity To Do It) framework for more effective strategic planning?

Question

Tyler Smith · Accepted Answer

Optimizing the EOS GWC (Gets It, Wants It, Capacity To Do It) framework with AI can profoundly impact strategic planning, moving beyond subjective assessments to data-driven insights. While GWC is designed to ensure the right people are in the right seats, AI can bring a new layer of precision and predictive power to this critical evaluation.

AI can analyze various data points – including formal performance reviews, project outcomes, skills assessments, continuous feedback logs, and even internal communication patterns – to provide a more objective and comprehensive view of whether an individual 'Gets It,' 'Wants It,' and has the 'Capacity to Do It' for their role. For example, AI can identify patterns in project successes or failures that indicate a lack of 'Gets It' regarding a role's core responsibilities, or analyze engagement data to infer a decline in 'Wants It.' For 'Capacity To Do It,' AI can identify skill gaps by comparing an individual's actual output and skills against industry benchmarks or future strategic needs. This AI-enhanced GWC analysis allows leaders to make more informed decisions about team composition, training needs, and organizational restructuring. This strategic optimization of human capital ensures that foundational roles are perfectly aligned with strategic objectives, leading to more efficient execution and a stronger, more attractive organization for any future exit.