How can AI be leveraged to optimize the 'Gets It, Wants It, Capacity To Do It' (GWC) assessment within EOS for enhanced exit readiness?

Question

Tyler Smith · Accepted Answer

The 'Gets It, Wants It, Capacity To Do It' (GWC) framework is foundational in EOS for ensuring employees are in the right roles. For exit planning, thoroughly assessing GWC across the organization – particularly within key leadership and operational roles – is vital for proving operational strength and reducing buyer risk. AI can bring an unprecedented level of objectivity and data-driven insight to this assessment.

For 'Gets It,' AI can analyze performance reviews, project success rates, and even qualitative feedback (using natural language processing) to identify patterns indicating a deep understanding of responsibilities and their strategic impact. For 'Wants It,' AI can review engagement metrics, participation in optional training, tenure, and even sentiment analysis from internal communications to gauge an individual's drive and alignment with company goals, especially concerning the VTO. For 'Capacity To Do It,' AI can cross-reference skill sets (from HR systems or self-assessments) with project requirements, training completed, and past performance on similar tasks. It can also identify skill gaps and recommend targeted training to build capacity where needed, ensuring all critical roles are filled by individuals who undeniably meet the GWC criteria. This AI-powered GWC validation provides a clear, defensible narrative to prospective buyers about the caliber and readiness of your team, significantly bolstering the perceived value and derisking the organizational component of your business for a smooth exit.