Intelligence from the Field
Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.
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Perspectives
How to think about AI risk in a regulated industry
AI risk in regulated industries demands precision, not paralysis. Learn how to categorise, prioritise and govern AI risk before your regulator does it for you.
Perspectives
The difference between building AI and buying AI
Build or buy AI? The decision shapes your competitive position. This guide helps business leaders make the right call — and avoid the costly middle ground.
Perspectives
What is a large language model and how do businesses use them?
Large language models explained for business leaders — what they are, where they add value, where they fail and how to evaluate use cases before you build.
Playbooks
How to write an AI policy for your organisation
How to write an AI policy that actually governs behaviour — covering scope, data classification, oversight and accountability for business leaders.
Perspectives
What is AI governance and how do you implement it?
AI governance explained for business leaders — what it is, why compliance framing misses the point, and a practical framework for implementing it.
Playbooks
How to protect sensitive data when using AI tools
Protecting sensitive data when using AI tools requires governance, not just IT controls. Learn how to classify data, manage vendor risk and build controls that hold.
Perspectives
What is RAG and why does it matter for enterprise AI?
RAG connects AI to your actual business knowledge. Learn how retrieval-augmented generation works and where it creates measurable enterprise value.
Perspectives
The difference between AI, machine learning and data science
AI, machine learning and data science are not the same thing. Understanding the difference determines whether your data investment delivers returns or disappears quietly.
Perspectives
What is agentic AI and why does it matter for business?
Agentic AI goes beyond generating content — it acts autonomously across workflows. Here's what it is, where it creates value and how to deploy it responsibly.
Perspectives
Why most AI projects fail — and how to do it differently
Why AI projects fail — and how to fix it. A practical guide for business leaders on the structural mistakes that keep AI stuck at pilot stage.
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