What we're seeing, thinking and naming - from engagements across data, technology and change.
Uber burned through its entire 2026 AI budget in four months. Not because the tools didn't work, but because nobody had worked out what they would actually cost. Here is the hidden reality of agentic AI consumption.
Organisational Debt Taxonomy: a diagnostic framework for identifying and classifying the hidden structural debt - in data, systems, processes and operating models - that accumulates when organisations grow faster than their foundations.
Why successful Lifelong Learning Entitlement (LLE) implementation in Higher Education depends on aligning academic intent with delivery reality, rather than treating it as a simple systems exercise.
Professionally, we work in environments that prize urgency. But some of the most important work humans do simply refuses to be rushed. Here is how our relationship with time shapes change.
Rory Stewart’s series on ignorance gets to the heart of what trips us up in organisational change. Here is what research and the scientific method teach us about navigating uncertainty.
A deep dive into standard data models across healthcare, finance, and higher education, exploring why translation doesn't scale and how shared data meaning protects people from fatigue.
Everyone is talking about agentic AI—systems that reason, plan, and act. But you can't automate what you don't understand. Here is why many AI dreams will fail, and how to build safe, useful, and grounded AI foundations.
Discover how Closed-Loop Decision Support Systems (CLDSS) enable organisations to continuously refine decision-making processes through a dynamic, real-time learning loop.