Every trading organization we meet has test automation. Most of them have automation that was working six months ago and is slowly, quietly failing now.
Scripts have drifted. Environments have moved underneath them. Flake has crept in. Maintenance has stretched. Coverage is gradually becoming fiction.
This isn't a tooling problem. It's a design problem. Automation that survives real change in an Energy Trading and Risk Management (ETRM) estate looks different from automation that doesn't. Three design choices separate the two.
None of this is exciting. It's systematic, deliberate work that compounds over time.
But it's the difference between automation that ages into decoration, and automation that genuinely keeps pace with Artificial Intelligence (AI) accelerated change in modern trading platforms.
Our CEO, Chris Jones, has written the full argument: The AI acceleration paradox. Why testing must evolve at the speed of development.