James Kerr is the London-based co-founder and CEO of CURN and writer of The Wayfinder Notes.
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James Kerr media kit
Verified biographies, current photographs, interview topics and canonical links for the co-founder and CEO of CURN and writer of The Wayfinder Notes.
Biographies
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James Kerr is the London-based co-founder and CEO of CURN, an AI adoption platform and advisory. He writes The Wayfinder Notes on how AI-native companies get built, with a focus on workflow capture, reusable team memory and the AI Demonstration Gap.
James Kerr is the London-based co-founder and CEO of CURN, an AI adoption platform and advisory that helps teams turn useful AI workflows into reusable playbooks and shared operating memory. He writes The Wayfinder Notes, a field-note series about how AI-native companies get built. His work focuses on AI adoption, workflow capture, team memory and the gap between the AI capability organisations declare and what their people can demonstrate in real work. Before CURN, James worked in strategy and innovation at Accenture.
Interview and event topics
Questions worth discussing.
The AI Demonstration Gap
Why licences, pilots and announcements can rise while demonstrable capability remains flat.
AI adoption after the pilot
How to measure repeat behaviour, accepted work, outcomes, review burden and control evidence.
Reusable team memory
How good AI work escapes private chats and becomes a method another person can inspect and reuse.
AI-native operating models
What changes when agents sit inside the work rather than beside it as another tool.
Investment and advisory workflows
How knowledge-heavy teams can identify, test and govern one bounded AI workflow at a time.
Quote-ready definitions
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The AI Demonstration Gap
“The AI Demonstration Gap is the gap between the AI capability an organisation declares and the capability its people can demonstrate in real work.”Read the framework
AI adoption
“AI adoption is not tool rollout. It is turning individual AI use into visible, repeatable, governed team capability.”Read the explainer
Team memory for AI work
“Team memory for AI work is the shared record of the problem, context, instructions, decisions, outputs and lessons that should change the next run.”Read the explainer
The Willingness Gap
“The Willingness Gap appears when AI creates real task value but the person doing the work captures too little benefit to use it again.”Read the framework
Preferred links
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Verified facts
Current public identity.
Contact
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