Practical thinking on putting AI to work in small and medium-sized businesses.
Engineering MemoryThirty years of engineering experience doesn't exist as a neat list of facts waiting to be written down. So how do you actually preserve it? One decision at a time.
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Engineering MemoryEvery engineering business has one: the engineer everybody calls when nobody else can solve the problem. They're incredibly valuable. They're also a hidden risk.
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Engineering MemoryGive two engineers the same technical manual and they don't suddenly have the same capability. The information is identical. Their interpretation of it isn't.
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Engineering MemoryWhen our lead engineer left, I thought we had a recruitment problem. Months later I realised the truth: we'd lost thirty years of experience, and no new hire could replace it.
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AI for SMEsAI doesn't need to replace your team; it needs to handle the repetitive questions that slow them down. Here's how first-line AI support actually works in practice.
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AI for SMEsMost AI failures aren't technology problems; they're data problems. When AI doesn't know your business, it gives plausible-sounding answers that are completely wrong.
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AI for SMEsOff-the-shelf AI gives field engineers shallow, generic answers. Custom AI trained on your technical library delivers equipment-specific guidance that actually helps.
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AI for SMEsThe best AI systems aren't fully autonomous; they're guided by human expertise. Here's why keeping people in the training loop produces better, more trustworthy results.
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AI for SMEsTraining AI isn't always straightforward. Here are the real challenges businesses face, from data quality to team adoption, and how to overcome each one.
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AI for SMEsDifferent industries need different AI. Here's why custom models trained on your sector's terminology, regulations, and workflows outperform generic alternatives.
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