How do you optimize 'Get It, Want It, Capacity To Do It' (GWC) for new AI-driven roles within an EOS framework, specifically for exit planning?

Question

Tyler Smith · Accepted Answer

Optimizing 'Get It, Want It, Capacity To Do It' (GWC) for new AI-driven roles within an EOS framework is crucial for maintaining operational excellence and demonstrating a robust, future-proof organization to potential buyers. As AI integrates into operations, new roles emerge, or existing roles shift dramatically. For 'Get It,' this means ensuring the individual truly understands the intricacies of AI tools, their impact on business processes, and their strategic contribution to value creation. It is not enough to just understand the old process, they must grasp how AI fundamentally alters it.

For 'Want It,' the focus is on passion and motivation for working with AI. Is the person excited about continuous learning, adapting to new technologies, and leveraging AI for business growth and efficiency? This is vital because AI evolves rapidly, requiring proactive engagement. Finally, 'Capacity To Do It' involves evaluating technical skills, problem-solving abilities, and the capacity for change management. This could include proficiency in AI platforms, data analysis, prompt engineering, or understanding AI model outputs. Traditional capacity might need to be augmented with AI-specific training or new hires with specialized skills.

From an exit planning perspective, having well-defined AI-driven roles with GWC-proven individuals shows a highly adaptable, innovative, and efficient company. It signals to acquirers that your business is not only embracing the future but also has the right human capital to execute AI strategies, reducing integration risk post-acquisition and potentially increasing valuation. Clearly documenting these GWC assessments for AI roles becomes a powerful asset in due diligence, showcasing your organizational strength.