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Re-Focusing Leadership on AI Readiness & Enablement
If Enterprise AI's prize is smarter organisations, then we need leadership functions to engage deeply with AI readiness and steering, rather than just…
 • Lee Bryant
Five Signals About the Changing Shape of Enterprise AI
Why the next phase of enterprise AI will demand new approaches to work design, organisational knowledge and human judgement.
 • Cerys Hearsey
A New Approach for Agent Training, Practice & Assurance
When professional work becomes a learning environment for AI
 • Cerys Hearsey
Is Software Dead or Finally Free?
Agentic coding and disposable software could transform enterprise systems and help elevate the human role towards natural language organisational…
 • Lee Bryant
When Knowledge Work Becomes Executable
What happens when the things we create to describe work start doing the work themselves?
 • Cerys Hearsey
Workflow Economics: The Real ROI Measure for Agentic AI
Some reading on how to approach agentic workflow design and keep it focused on re-designing work rather than automating messy process spaghetti
 • Lee Bryant
The Ephemeral Organisation
How disposable software changes the way organisations work, and why leaders need to rethink what should remain permanent.
 • Cerys Hearsey
A Frontier Model Slow-down is Fine, Regardless of the Reasoning
But let’s not allow the obsession with AGI to distract from the real practical applications that can benefit us today with sub-frontier models
 • Lee Bryant
How Can Management Keep Up With the Explosion of the Digital Workforce?
Why abundant machine capacity gives us an opportunity to make management more human that should not be missed
 • Cerys Hearsey
Who Watches the Agents? Some Lessons from “The Incident”
A roundup of interesting takes on the OpenAI / Hugging Face incident, plus what we can learn from it about making better use of human agency and…
 • Lee Bryant
From Citizen Developers to Citizen Operators
What happens when AI democratises not just software development, but the redesign of work itself?
 • Cerys Hearsey
Should Enterprises Worry About an AI Bubble?
A review of the arguments around over-valued AI firms and what this might mean for enterprise AI based on lessons from previous stock market bubbles
 • Lee Bryant
Agentic AI Challenges Workforce Planning; but it Could also Re-invent it
A new way to think about workforce planning as expertise moves between people and AI agents.
 • Cerys Hearsey
Agentic AI, Harness Engineering and Organisational Architecture
Harness engineering matters, but the organisational architecture that sits above agents, models, and harnesses remains the most important source of…
 • Lee Bryant
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