Paradigm Perspectives

Insights from thirty years of IT transformation — what works, what doesn’t, and why the same lessons keep needing to be relearned.

Which transformation are you actually running?

Business transformation and AI-first operations ask the same question: what are you actually trying to change, and why? Transformation is not one thing. There are at least four kinds. Same business cheaper; same business, different delivery (Netflix); become something else (Apple); or productise a capability you built for yourselves (AWS). AI does a different job in each. A hands-on workshop that treats "adopt AI" as one skill answers the wrong question first. Get clear which of those transformations you are running, how the work runs today, and what better will look like. Then the tool has somewhere to land.

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You can't advise someone on AI-first operations if you've never built them yourself.

Building AI-first operations requires hands-on experience designing autonomous systems that make decisions and take action, not just prompt engineering or tool stacking. The author's work deploying AIOps platforms and self-driving network systems revealed that agentic AI success depends on understanding how business processes, data, and systems interconnect, not on consuming the latest AI content or frameworks. Most AI advice skips this structural thinking, leaving people stuck at the surface.

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The Recovery Playbook

Four troubled programmes. Four different industries. Four different outcomes. There's almost always more to it than the brief suggests.

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I'm Building a CRM...Again.

After three decades of enterprise IT — ERP rollouts, programme recoveries, datacentre builds — I find myself building a CRM from scratch. Not for a client. For me. It's made me think about why systems fail, why the same problems keep showing up, and what I stumbled into as a twenty-something trainee in a smoky 90s office that most transformation programmes still get wrong.

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