• Insights
Notes on AI, work, systems, and what changes after the hype.
I write workflow design notes on AI adoption, content systems, and the organisational choices that shape whether change actually sticks.
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Recent essays and working notes
A selection of pieces on AI adoption, operating models, and the practical work of making systems usable.
• AI Strategy 6 min read · July 2026
What most teams get wrong about AI adoption
Most adoption failures aren’t about the technology. They happen at the handoff – when a capable model meets an unprepared workflow, an unclear brief, or a team that was never part of the decision. This essay looks at where the real gaps tend to open.
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• Begin here
Start with these three
Three essays that introduce how I think about AI adoption and systems change.
01.
What most teams get wrong about AI adoption
Why adoption fails at the handoff, not the model.
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02.
A workflow is a better starting point than a tool
Where to look before choosing any AI product.
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03.
The difference between an AI pilot and an operating model
Moving from excitement to daily operations.
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Workflow design notes on AI adoption and organisational change
Essays, notes, and working ideas on workflow redesign, operating models, content systems, and the decisions underneath transformation.
• Featured note • Workflow Design • 5 min read
The workflow audit nobody wants to do
The workflow audit nobody wants to do is the unglamorous work of tracing what people actually do—step by step—before adding any AI or tooling. It shows why this reality mapping is often the only way to design AI workflows that do not collapse at the first exception.
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Content Systems • 4 min read
Content systems are organisational systems
Why better content depends on ownership, review paths, and shared standards.
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AI Strategy • 6 min read
Why most operating models don’t survive first contact with AI
The structural gaps that show up once a tool is live and decisions have to change.
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Operating Models • 7 min read
Three signals your AI pilot is stalling
When a promising experiment stops producing results, these are usually the reasons.
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Adoption • 8 min read
A brief guide to writing useful AI briefs
What to include, what to leave out, and why the brief matters more than the model.
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• WHY I WRITE
Writing is part of the work.
I write to make sense of the patterns I keep seeing – across teams, tools, and the kinds of transformation that actually stick. These aren’t thought-leadership pieces. They’re working notes from the consulting room, written to be useful.
If these are the kinds of questions your team is navigating, this is also the work I do in practice.
Looking for clearer thinking on AI adoption?
Read the latest notes, or get in touch if you’re trying to turn AI interest into something your team can actually use.