Insights
Notes on AI and operational software
Practical writing on delivery, reliability, and where AI earns its place in critical systems.
Why operational AI pilots stall before production
The pilot usually works. Getting it to the point where an operations team relies on it at 3am is a different problem — and it is rarely the model.
Integrating with systems that were never meant to share data
Historians, SCADA, and twenty-year-old line-of-business tools hold the data your operation needs. Here’s how we get it out without destabilising anything.
Build or buy? A working answer for operational software
Off-the-shelf tools cover most business software. Operations are different — here’s a practical test for when building is the right call.
What “production-grade” actually means
Everyone claims to ship production-grade software. Here is the concrete checklist we hold ourselves to on systems that can’t stop.
Where AI actually moves the needle in operations
A field guide to the operational problems where machine learning pays off — and the ones where it quietly doesn't.
Engineered for reliability, without the management bloat
Why critical software so often ships slowly — and how a lean, engineering-led model delivers faster without cutting corners.