Practical analysis on digital transformation, AI strategy, and enterprise agility written for executives who need to act, not just be informed.
The same five patterns appear in virtually every program that fails. After 35+ engagements, here's what they are and what separates the organizations that make it through.

The same five organizational patterns appear in virtually every program that fails. After 35+ client engagements, here's what they are and what separates the organizations that make it through.
Read article ->Organizations racing to deploy AI without a data foundation are setting themselves up for expensive failure. Here's the framework we use to assess actual readiness.
SAFe implementations fail when treated as a compliance exercise rather than a culture shift. The distinction matters more than most program teams realize.
Most programs are held together by one executive sponsor. When that person leaves, everything becomes fragile. Here's how to design for resilience from day one.
Most data governance initiatives fail within 18 months because they're scoped as a one-time fix rather than a permanent organizational capability.
A program with green delivery metrics and an increasingly frustrated executive team. The problem wasn't execution.
Compliance doesn't have to slow delivery. The organizations that do it well treat compliance as a design constraint, not an audit function.