This session, titled “Bridge the AI Gap,” centered on effectively driving the adoption of Generative AI (Gen AI) within organizations. Barry and Patrick Kayton from Cognician shared their behavior activation framework, emphasizing key design principles to encourage behavior change, peer learning, and iterative experimentation.

Participants explored detailed case studies, such as the successful “ChatGPT Foundations Quest,” which dramatically increased daily usage and productivity through spaced practice and interactive challenges. Another highlight was the “Copilot Foundations Quest,” demonstrating significant productivity gains by employing peer-to-peer learning and continuous engagement tactics.
 

Key Insights

  • Spaced Practice vs. Traditional Workshops:

Spaced practice methods significantly outperform traditional AI workshops and prompt libraries by fostering deeper, iterative learning and habit formation.

  • Activation Framework Components:

Successful AI adoption relies on meaningful content, optimal guidance, actionable tasks, user commitment, peer connection, reflection, and insights sharing.

  • Gen AI Mindset:

Emphasizes ethics, curiosity, ambiguity tolerance, openness, critical thinking, iteration, and experimentation as essential mental models for AI adoption.

  • Importance of Peer-to-Peer Learning:

Peer learning, supported by champions within the organization, effectively enhances adoption and encourages collaborative problem-solving.

  • Senior Leadership and Managerial Involvement:

Active support and modeling by executives and line managers critically impact the success of AI initiatives.

  • Ethical AI Use:

Ethical considerations, including privacy protection and cautious use of identifiable information, are central to responsible AI adoption.

  • Practical Metrics for Success:

Successful Gen AI adoption should be assessed through clear metrics such as increased daily tool usage, diverse use-case exploration, and measurable productivity improvements.

 

Final Thoughts 

The roundtable concluded with a poll indicating strong interest in further exploring spaced practice methodologies and effective leadership communication strategies for Gen AI adoption. Participants were encouraged by the significant productivity outcomes shared and demonstrated interest in continued exploration and future sessions.