Subscribe
Sign in
Home
AI
Agents
Adoption
Digital transformation
Leadership
Learning
🤓 Deep Dives
Archive
About
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…
Apr 2, 2024
Â
•
Â
Lee Bryant
9
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
Â
•
Â
Cerys Hearsey
2
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
Â
•
Â
Lee Bryant
6
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
Â
•
Â
Cerys Hearsey
 andÂ
Lee Bryant
3
AI Round-up: Both Destroyer and Maker of Worlds?
Interesting new developments in models big and small, plus a note about the increasing focus on world models and world building as the next frontier for…
Oct 14
Â
•
Â
Lee Bryant
2
Latest
Top
Discussions
Building the Future of Organisational Learning One Agent at a Time
How can L&D teams explore agentic tools while staying grounded in learner needs?
Oct 7
Â
•
Â
Cerys Hearsey
1
Doing the Work: Why Learning is Key to Agentic AI Success & Avoiding Workslop
Why we need to be ready to 'do the work' of organisational transformation if we are to realise the potential of enterprise AI, and thinking about what…
Sep 30
Â
•
Â
Lee Bryant
1
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
Â
•
Â
Cerys Hearsey
1
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
Â
•
Â
Lee Bryant
2
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
Â
•
Â
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
Â
•
Â
Lee Bryant
4
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
Â
•
Â
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
Â
•
Â
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
Â
•
Â
Cerys Hearsey
See all
Shift*Academy
Your digital leadership learning companion to help make sense of AI and emerging technologies, with practical guidance and techniques for implementation.
Subscribe
Recommendations
View all 25
Sticks & Stones
Jemima Gibbons
One Useful Thing
Ethan Mollick
Fave Five
Stan Garfield
workfutures.io
Stowe Boyd
School of the Possible
Dave Gray
About Us
Post*Shift
our team and services
Shift*Base
our learning products
Shift*Academy
Subscribe
About
Archive
Recommendations
Sitemap
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts