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AI-ready data and knowledge

For leadership teams whose AI work stalls on the data underneath it. Case studies and guides on getting data, documents and company knowledge ready for AI, deciding who owns them and controlling what each tool can see.

The AI readiness checklist: 18 questions UK business leaders should be able to answer

The AI readiness checklist: 18 questions UK business leaders should be able to answer

The AI readiness checklist If you want a straight answer on whether your organisation is ready to get a return...

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The aibl AI readiness model: two levers, six dimensions, four stages

The aibl AI readiness model: two levers, six dimensions, four stages

AI readiness is whether your organisation can turn AI activity into a measurable return. In aibl's survey of 755...

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Your Moat Is What You Already Know

Your Moat Is What You Already Know

Mark Riley runs Mathison AI, a boutique AI advisory in Bristol that started out advising media companies and now...

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AI transformation: moving from pilot to production

AI transformation: moving from pilot to production

A pilot is a controlled test: one team, one process, clean-ish data, someone senior watching. Production is the...

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AI readiness assessment: understanding your starting point

AI readiness assessment: understanding your starting point

An AI readiness assessment is an honest stocktake of whether your business can actually put AI to work, done...

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Tech & IT AI Benchmark & Playbook 2026
When AI meets operational chaos, the happy path is off a cliff

When AI meets operational chaos, the happy path is off a cliff

Automating the happy path first, then expanding outward, is the standard AI implementation advice. It did not work...

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What sales automation looks like when it really works

What sales automation looks like when it really works

Last week we wrote about agents that succeed by integrating with tools teams already use. This week, a mid-market...

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Why Your Agents Keep Losing Context (And How to Fix It)

Why Your Agents Keep Losing Context (And How to Fix It)

A mid-market marketing agency built a single agent to research target companies for outbound campaigns. On its...

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Garbage In, Gospel Out

Garbage In, Gospel Out

Human being are already vulnerable to believing data before we question it. AI adds the wrinkle of being...

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