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Who Decides (and how) with AI at the Table?
When machines ask good questions, it’s leaders who are forced to show their working.
 • Cerys Hearsey
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.
 • Cerys Hearsey
AI Agents & Skills, Plus What Games Can Teach us About Adoption
Some useful signals of enterprise AI adoption are emerging - how can agentic AI and agent skills take this to the next level?
 • 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?
 • Cerys Hearsey
Beyond Simple Office Automation: The Rise of Super Operators
Contrasting the speed of office-based vs physical AI use cases; the future beyond simple chatbot assistants; and the predicted rise of high-agency super…
 • Lee Bryant
Reasoning, Context and the Agentic Enterprise AI Beyond LLMs
A round-up of new AI developments and what they mean for the Enterprise. Also, do Turkeys vote for Xmas, and can we avoid the Sorcerer's Apprentice…
 • Lee Bryant
A Deep Dive on Achieving AI readiness in the Digital Workplace
How can we make the most of our existing digital workplace tools today to prepare for a truly smart digital workplace augmented by AI and automation?
 • Cerys Hearsey
Don't Let the AGI Soap Opera Overshadow the Practical Applications of Enterprise AI
Let's not make 'perfect' the enemy of the good - there is a great deal we can achieve today with a practical, grounded approach to AI and automation
 • Lee Bryant
Small is Beautiful: Cats vs Megamind
The GenAI backlash is here and it is largely justified, but enterprise AI can learn from this with a modular approach that evolves intelligence from…
 • Lee Bryant
Fully Automated Luxury Capitalism or Just Sparkling Process Management?
A roundup of enterprise AI developments and links to some interesting lines of enquiry using agents as knowledge synthesisers in human collaboration…
 • Lee Bryant
Mapping an AI-Enhanced General Prototyping Capability
How can we unlock faster, smarter product & service development in every team across the business?
 • Cerys Hearsey
From prompt whispering to model sommeliers: how best to think about the ‘atomic’ nature of LLMs in the AI evolution story?
Lots going on in AI-land as usual, but what can recent developments tell us about how to build on the capabilities of LLMs, and what should execs be…
 • Lee Bryant
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