How does AI specifically identify and resolve 'Gets It, Wants It, Capacity To Do It' (GWC) issues within EOS implementation to enhance a company's exit readiness?

Question

Tyler Smith · Accepted Answer

AI plays a crucial role in analyzing and identifying GWC issues, particularly when a company is gearing up for an exit. Firstly, AI can process vast amounts of data from performance reviews, 360-degree feedback, project management tools, and even communication platforms to *detect patterns and anomalies* that human managers might miss. For instance, if an individual consistently misses deadlines or underperforms in specific tasks, AI can flag this as a potential 'Gets It' or 'Capacity To Do It' concern, even if their self-assessment is positive.

Secondly, once identified, AI can assist in the *resolution phase*. For 'Gets It' issues, AI can suggest targeted training modules, knowledge base articles, or even peer-learning connections based on the individual's specific needs and learning style. For 'Wants It,' while more nuanced, AI can analyze engagement metrics, participation in company initiatives, and even sentiment in internal communications to identify individuals who may be disengaged. This allows leaders to proactively address motivation issues before they become significant roadblocks to exit-related projects.

Regarding 'Capacity To Do It,' AI can perform workload analysis and skill gap assessments. By comparing individual skill sets against project requirements and future strategic needs (especially those critical for an attracting an acquirer), AI can highlight where team members lack the necessary skills or are over-allocated. This enables leadership to implement targeted upskilling programs, reallocate resources, or even make strategic hiring decisions, ensuring the leadership team and entire organization are robust and attractive to potential buyers.