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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
9 hrs ago
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Lee Bryant
AgentOps: The Scaling Layer for Agentic AI in the Enterprise
To move beyond prototypes and achieve practical impact, we need to build the organisational infrastructure for agent development, deployment, and…
Sep 9
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Cerys Hearsey
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
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Lee Bryant
4
August 2025
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
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Cerys Hearsey
2
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
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Lee Bryant
5
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.
Aug 12
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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…
Aug 5
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Lee Bryant
3
1
July 2025
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.
Jul 29
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Cerys Hearsey
1
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
Jul 22
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Lee Bryant
3
To Protect Human Agency, Codify the Invisible
Codified coordination, forkable practices, and agentic guardrails—how we design AI-ready work that puts people first.
Jul 15
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Cerys Hearsey
1
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…
Jul 8
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Lee Bryant
3
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
Jul 1
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Cerys Hearsey
1
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