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.
What never changes: every line it touches is reviewed by senior engineers who know what good looks like. The speed is new; the standard isn’t. That review discipline is the whole trick - 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.