leadership

Can AI Help Reverse the Oversimplification of Management?

For leaders to be programmers of their organisational OS, they need AI's help in embracing complexity and reality, rather than relying on simplistic…

Dec 23 • Lee Bryant

Big Picture Leadership Techniques for Human-AI Teaming Readiness

Practical Steps for Leaders to Reduce Drift and Build a Coherent Environment for Centaur Teams

Dec 16 • Cerys Hearsey

Metamorphoses: "Of Bodies Chang'd to Various Forms, I Sing"

New models, evidence of hyperproductivity, automated governance and the potential for leaders to guide the programmable organisation like poets

Nov 25 • Lee Bryant

Small Models, Real Change: How Leaders Can Use SLMs to Make AI Fit Their World

Why the next stage of AI adoption isn’t about going bigger, but about getting closer - to context, culture, and control.

Nov 18 • Cerys Hearsey

Mapping AI Value Pathways

How leaders can use a simple Map → Build → Learn loop to turn scattered AI pilots into a coherent organisational world of value.

Nov 4 • Cerys Hearsey

Enterprise AI Needs Leadership Ambition to Move Beyond the 'Faster Horses' Stage

A widening gap between vendor hype and adoption reality, and why enterprise AI needs to see way beyond the short-term AI bubble to realise its potential

Oct 28 • Lee Bryant

A Leader’s Guide to World-Building in the AI-Augmented Enterprise

A leadership framework for world building, and key mindset shifts that open up a new way of thinking about the role of non-technical leaders in the…

Oct 21 • Cerys Hearsey and Lee Bryant

AI Learning & Adoption Goes Further and Faster in Co-Op Mode

How can shared practice, not individual use, help accelerate learning and sustainable adoption of AI?

Sep 23 • Cerys Hearsey

Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice

Some links and thoughts on agentic AI's positive potential to transform work and jobs, and the need to avoid both magical thinking and AI panic

Sep 16 • Lee Bryant

Collaborative Architectures for Agents, People & Machines

Some thoughts and further reading on how to think about creating collaborative architectures for agentic AI in the enterprise

Sep 2 • Lee Bryant

Enterprise Context Engineering as a New Leadership Capability

How can leaders ensure that people, AI agents, and distributed systems all work with a common context and information landscape, without slowing things…

Aug 26 • Cerys Hearsey

The Growing Importance of Context Engineering for Leaders Adopting AI

How business leaders can play an important role in enterprise AI adoption without needing to become technical domain experts

Aug 19 • Lee Bryant

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