Insights
Perspectives on strategy, transformation and AI.
Practical thinking for leaders navigating operational, technology and organizational change.
Why AI Transformation Is a Business Challenge Before It Is a Technology Challenge
The organizations that succeed with AI treat it as an operating question first and a technology question second.
June 2, 2026
The Hidden Cost of Inefficient Processes
Inefficiency rarely appears on a budget line. It shows up as slower decisions, frustrated staff and quiet erosion of margin.
May 14, 2026
From AI Experimentation to Enterprise Adoption
A successful pilot and a successful rollout are different achievements. Most organizations underestimate the gap between them.
April 22, 2026
Seven Questions Leaders Should Ask Before Automating a Business Process
Automation applied to the wrong process makes a bad process faster. These questions help identify the right ones.
March 30, 2026
Why Transformation Programs Fail
Most transformation programs do not fail at the strategy stage. They fail at the point where strategy meets daily operations.
March 5, 2026
Finding Productivity Gains Without Cutting Capability
The fastest way to raise a productivity number is to cut capability. The harder, more durable path is redesigning how work happens.
February 18, 2026
What Municipalities Should Consider Before Implementing Generative AI
Public-sector AI adoption carries accountability, transparency and equity considerations that private-sector deployments often do not.
February 3, 2026
AI Policy Is Not AI Strategy
A responsible-use policy tells employees what they cannot do. A strategy tells the organization what it should do, and why.
January 20, 2026
Turning Operational Data Into Better Decisions
Most organizations collect more operational data than they use. The gap is usually in how it is structured and reported, not how much exists.
January 8, 2026