Insights

What we've learned shipping this stuff.

Written by the engineers who do the deployments, not a content team. Including the parts that argue against buying more AI.

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AI Automation

AI automation: what actually works, and what quietly doesn't

Most automation programmes fail in the same four places. Here's how to tell a workflow worth automating from one that will eat a year of engineering and give nothing back.

14 Jul 20269 min read

AI Adoption

The cost of waiting: why AI adoption stopped being optional

The argument for adopting AI is no longer about competitive advantage. It's about the widening gap between operations that compound their data and those that discard it.

28 Jun 20268 min read

Sector Analysis

Where AI actually earns its keep, sector by sector

The same technology returns wildly different value depending on where you point it. A frank read on RMG, healthcare, security, retail, logistics, finance and manufacturing.

22 May 202612 min read

Cost Reduction

Where the money actually hides: AI-driven cost cutting, honestly

Headcount is the first place executives look and usually the wrong one. The durable savings sit in rework, idle capacity, and decisions made a day too late.

9 Jun 202610 min read

AI Strategy

Build, buy, or leave it alone: choosing per workflow, not per company

The build-versus-buy debate is usually held at the wrong altitude. It's not a company-level decision. It's a decision you make separately for every workflow.

5 May 20267 min read

Data Readiness

"Our data isn't good enough for AI" is usually half true

The most common reason organisations delay is a fear about data quality. It's a reasonable fear, and it's wrong about as often as it's right.

18 Apr 20267 min read

Beyond reading

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