Engineering insights

From the team at Serpro.

Technical writing, engineering perspectives, and practical guides from our team.

Serpro Team · 1 July 2026

Why AI Programs Fail

AI programs fail for exactly the same reasons Agile transformations failed a decade ago. The failure signatures are identical - and so are the fixes.

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Serpro Team · 30 June 2026

Loop Engineering Was Already Here. We Just Called It Something Else.

Agile coaches and control systems engineers have practised loop engineering for decades. Here is why AI teams are only now catching up.

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Serpro Team · 18 June 2026

Implementing AI in the Enterprise: Where to Start and What to Ignore

Most enterprise AI projects fail before they create value. Not because the technology is immature, but because companies start in the wrong place.

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Serpro Team · 17 June 2026

Most of the AI You're Adding Makes Your Product Worse

Teams are bolting language models onto everything. A lot of it is making the product slower, more confusing, and more expensive to run, while the actual useful AI sits ignored. Here is how to tell the difference.

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Serpro Team · 17 June 2026

Building Sovereign Software: What It Means in 2026

Most software vendors sell you tools you can never fully own. Here is why ownership of your stack is the most strategic decision a company can make.

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Serpro Team · 17 June 2026

What Owning Your Software Actually Costs You in 2026

Everyone says own your stack. Nobody talks about the operational bill that comes with it. Here is where ownership pays off and where it quietly drains a small team.

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