Ideas, builds and field notes
Writing
For people deciding how technology should change the business.
I publish analysis, explainers, working builds and field notes on products, growth, customer experience, architecture and delivery.
Writing tracks
What can be built now
New capabilities, working builds and what becomes possible once systems connect.
What changes the numbers
Where technology changes revenue, cost, customer experience and the economics of a business.
How delivery holds
The architecture, ownership, investment and operating choices that make change real.
AI systems and assurance
How AI systems behave in production — and the evidence, controls and accountability leaders need.
All writing
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What would a 20% productivity gain actually change?
Let’s say you lead customer operations at a large insurer. You’re reviewing a proposal from your team to introduce an AI assistant into your contact centre. As you read through it, you see that your team estimates the assistant could improve productivity by 20%. At…
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Could AI cut the delays between your teams?
An equipment distributor example shows how an AI-enabled workflow could bring pricing, stock and delivery checks together to help sales prepare quotes sooner.
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What opportunities are missing from your tech playbook?
Some of the larger AI opportunities span teams and systems. A sales quoting example shows how to assess the business benefit, constraints and investment case.
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When should a human come into an AI-automated workflow?
Where human judgement belongs in an AI workflow: choosing review points around uncertainty, consequences and the decisions people need to own.
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How to strengthen your AI use case proposal
Give an AI business case stronger evidence for board approval, from permitted actions and human review to monitoring, fallback and supplier dependencies.
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AI is creating capacity. Is it creating revenue?
AI can release capacity without increasing revenue. The commercial question is how saved time removes a business constraint and changes the result.
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Connecting your organisation has become easier
Shared interfaces can make connections between functions easier. The opportunity still needs ownership, executive direction and a business case.
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A look back at the arrival of Model Context Protocol (MCP)
How Model Context Protocol changed AI integration, what connected systems make possible, and the ownership and controls needed for production.
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The AI model you approved vs the AI model that’s in production
How component records, signatures and change detection help establish whether the AI system in production is the one that was approved.