Why Organizational Intelligence, and why now?
After twenty-five years across different industries, I keep returning to a question: why do familiar organizational problems survive so many serious efforts to solve them?
Thinking
Riflessioni su ciò che le organizzazioni sanno, su come decidono e su come imparano.
Di Enrique Guzmán, fondatore di CERNYVA.
We Agreed. We Just Didn’t Mean the Same Thing.
A meeting ends five minutes early because everyone agrees. Two weeks later, each person has done something different. On the words organizations fill with different meanings.
When Answers Become Cheap, What Becomes Valuable?
A mechanic, a diagnostic that is right, and a fault that comes back. What AI changes in organizations, and what it leaves to them.
The Missing Enterprise Capability Nobody Is Building
A company solves a difficult problem. Two years later, somewhere else in the same organization, remarkably similar conversations begin again.
What If AI Is Making Companies More Efficient and Less Intelligent?
We have become very good at measuring what AI can save. What did the people it replaces know that the organization still needs to know?
Why Organizations Remember Everything and Learn Almost Nothing
Organizations have become extraordinarily good at preserving the past. What they seem much less reliable at doing is ensuring that the past changes the future.
Nothing Is Broken. Yet the Organization Doesn’t Work.
An organization can have good data and still disagree about what happened. The whole can behave less intelligently than its parts.
Every ERP Records Yesterday. What Is Responsible for Tomorrow?
If every enterprise system is designed to preserve what already happened, what is actually responsible for helping an organization make better decisions tomorrow?
The Organization Looked Different. It Operated Exactly the Same Way.
Most data problems I have seen were not really about data. They were about accountability: who owns it, who decides, who is responsible when things go wrong.