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Accelerating the Map → Change → Learn loop to guide enterprise AI adoption
Why we need a new approach to learning, change and digital capability development that gives leaders the tools & confidence to grow smart organisations…
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Lee Bryant
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
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Lee Bryant
Enterprise AI Adoption Requires Connected Leadership Steering
How leaders working together with a simple Map → Change → Learn loop can turn scattered AI experiments into living, organisation-wide capabilities.
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Cerys Hearsey
Will AI be 'Winner takes it all' or General Purpose Technology?
Considering the diffusion of economic gains from AI, why enterprise AI is more interesting than consumer use cases, and why learning by doing is…
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Lee Bryant
1
We Can all be Work Designers in the Composable Enterprise
Composable workflows are important for AI readiness, but they start with a mindset shift and simple practices that anyone can try.
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Cerys Hearsey
Codifying Rulesets in the Explainable Enterprise
How encoding the unspoken rules of how we work could create better guardrails for agentic AI and improve human-AI collaboration in the enterprise
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Lee Bryant
To Protect Human Agency, Codify the Invisible
Codified coordination, forkable practices, and agentic guardrails—how we design AI-ready work that puts people first.
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Cerys Hearsey
Is Enterprise AI Ultimately Less Risky than Consumer AI?
Whilst the risks of consumer AI are fuelling a backlash, the quiet revolution in enterprise AI offers a more promising, human-scale future (if we get it…
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Lee Bryant
The Rise of Symbiotic Learning
How co-learning with AI can help us build more adaptive ways of thinking, and how to get started creating a personal learning companion
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Cerys Hearsey
Can Learning Help Overcome the AI Capability-Absorption Gap?
Organisational readiness will take time, but that should not stop us from preparing our people to thrive in an enterprise AI workplace
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Lee Bryant
2
Learning in the Age of Agents
Why What, Where, When and How We Learn Needs Reimagining for Intelligent Work
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Cerys Hearsey
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Lee Bryant
Agentic AI Needs Strong Foundations
We risk taking the inevitability of agentic AI for granted; but if we don't focus on the foundations and bring people with us, it might not live up to…
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Lee Bryant
1
AI Orchestration and the Middle Management Transition
How can we best deploy the experience and skills of managers whose roles are at risk from AI disintermediation to help create a new, smarter work…
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Cerys Hearsey
New Models and Old Challenges
So many powerful new capabilities are emerging, especially in augmented coding; but we must not forget the human transition, risks and adoption…
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Lee Bryant
Shift*Academy
Shift*Academy
Your digital leadership learning companion to help make sense of AI and emerging technologies, with practical guidance and techniques for implementation.
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