There’s a version of the AI story where consultancies sell transformation decks. Ours is more practical: AI runs inside our own delivery, every day, on real client work.
What that looks like in practice. It writes code and unit tests inside delivery epics - reviewed, like all code, before it ships. It triages security findings across an entire codebase in a single sitting, work that used to be a week of careful drudgery. It drafts design assets that a human then polishes. None of this is a pilot; it’s how the work gets done now.
The result is a simple, slightly unreasonable fact: a team our size runs national platforms. AI makes each of our engineers several - it multiplies output and shortens the distance from problem to production.
Every line it touches is reviewed by senior engineers who know what good looks like. That review discipline is the whole trick, and AI without it is just faster mistakes.
We’re optimists about where this goes. The organisations that win the next decade will be the ones whose hardest problems got engineered, not avoided - and AI just made engineering them cheaper, faster and more fun.