The Hidden Architecture of AI Adoption
Most AI adoption programs fail not because of the technology, but because they rely on the wrong people to spread it. This piece introduces a three-circle framework — Adopters, Anchors, and Translators — and shows how identifying where they overlap reveals the Champions, Ambassadors, Signal Carriers, and Program Catalysts who actually move organizational behavior.
What Network Maps Reveal That Org Charts Never Will
After reading hundreds of network maps, three patterns show up in nearly every organization that struggles to execute. Here's what to look for.
Why the Most Connected Person in Your Organization Might Be Your Biggest Risk
Every time we share network analysis findings with a leadership team, the same thing happens. Before anyone engages with what the data means, people start looking for their names.
The Real Reason Your Strategy Isn't Landing
Most strategy failures aren't strategy problems. They're execution infrastructure problems — and they show up the same way, across industries, every time.
Why 70% of M&A Integrations Fail and What the Data Actually Shows
Most M&A integrations don't fail because the strategy was wrong. They fail because the informal organization — the networks, beliefs, and relationships that determine how work actually gets done — never gets examined. Here's what the data shows.
AI Adoption Is Failing. The Problem Isn't the Technology.
95% of enterprise AI pilots never make it to full deployment. Not because the technology failed. Because the organization wasn't ready to receive it. Here's what high-readiness organizations do differently.

