Articles and insights.
Practical thinking on AI adoption, organizational change in an automated world, and empowering teams to grow and build their skills and their business results.
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How to Measure AI Adoption When Dashboards Look Fine
Most AI adoption metrics track the wrong thing. Learn what to measure when licenses are active but behavior has not changed.
What Is AI Readiness
AI readiness is whether the people, managers, and structures around the tools can absorb the change when it arrives, not your ambition to adopt AI.
What AI Adoption Really Means: A Working Definition
AI adoption is a sustained change in how work gets done, led by managers and measured in behavior. Most organizations confuse deployment with adoption.
AI Transformations That Actually Work
Most AI programs stall not because the technology fails, but because the organization wasn't ready. Here's how to design AI change around people.
Why Your AI Adoption Rate Is Not a Technology Problem
Your AI adoption rate is flat because the organization was never designed to use it. Here is what ground truth shows and how to design around it.
Can AI Update Drip Texts as a Lead's Situation Changes?
The technology works. What breaks is the process around it. Here's why AI-driven drip personalization stalls, and what it takes to make it run.
AI Reversal: When Companies Walk Back Their AI Investment
Why senior leaders walk back AI programs once adoption goes flat, what drives the rollback decision, and what to do instead.
How Global Disruption Rewrites AI Communication
Global disruption exposed silent resistance to AI. How leaders rebuilt trust with transparent, identity-first communication and restarted stalled work.
AI Change Management: Ground Truth Before Prescription
AI change management that works starts with ground truth, not templates. Learn how to design adoption around how people actually work, not vendor promises.
Building an AI Operating Model That Outlives the Deck
Most AI operating models look credible on paper but die in the middle. Here's how to design one that survives contact with your organization.
How to Measure AI Adoption ROI When Nobody Uses the Tools
Adoption is flat, licenses sit unused, and the board wants ROI. Here's how to measure what drives AI value: behavioral change, not feature use.
AI Change Management Best Practices for Stalled Programs
Why AI change programs stall in the messy middle, and the practices that move a stalled program from flat adoption to lasting change.