Release Notes
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The Human Element: Change Management for AI Transformation
Successful AI adoption hinges on effective change management that prioritizes employee engagement, collaboration, and a supportive culture.
When AI Disappoints: How to Bounce Back From Failed Pilots
AI projects often fail due to poor data quality and unrealistic goals, but understanding these challenges can lead to successful recoveries.
Avoiding the Tech Graveyard: Ensuring Your AI Solution Gets Used
Learn how to ensure your AI solutions are effectively integrated and adopted within your organization to avoid wasted resources and enhance productivity.
Lessons Learned: What Makes – or Breaks – AI Deployment at Work
Effective AI deployment hinges on data quality, integration, governance, and a culture supportive of change for lasting success.
Building Trust: How to Get Teams On Board With New AI Tools
Building trust in AI tools requires transparency, communication, and clear benefits to ensure successful adoption and collaboration within teams.
Change Management: Successfully Rolling Out AI Agents and AI Enablement
Learn effective strategies for managing change during AI adoption in marketing and sales, focusing on people, processes, and ethical practices.
Chapter 6: Change Management… How I Learned to Stop Worrying and Love the Robots
If anyone asks you to “workshop your trust fall approach to AI transformation”: run. That’s not change management; it’s corporate
Chapter 4: The Bell Curve—Crossing the Chasm (and Not Leaving Anyone Face Down in It)
Let’s get real: Geoffrey Moore didn’t come up with the technology adoption curve so your innovation team could print fancy