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Why most AI pilots never reach production — and the four checks that change it
Across forty-odd engagements the same four things separate the pilots that ship from the ones that quietly stall — and none of them is about the model. They are data readiness, review capacity, a measurable outcome, and a named owner who is not us.
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Building an AI literacy baseline your whole organisation can actually use
Most AI training either aims too low and teaches prompt tricks, or aims too high and teaches gradient descent to people who will never write a line of Python. Here is the middle we have settled on after training twelve thousand people.
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Retrieval-augmented generation in regulated industries: a working architecture
Retrieval sounds simple until the auditor asks why a particular answer appeared. A practical architecture for RAG under GDPR, HIPAA and financial services supervision — chunking, citation, confidence thresholds and the review queue.
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26 June 2026The real cost model of running LLMs in production
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