TL;DR: Elixirr International closed 9.4% higher at 678p on Monday, its second record quarter running. The consultancy took £89 million over the half year ending 30 June, up a quarter on last year, while adjusted EBITDA climbed 29% to £27.6 million and the margin on that measure gained a point to reach 31%.
Chief executive and founder Stephen Newton put AI income growth above 260% for last year, with the same demand carrying through the half. The group booked more revenue and more profit in these six months than it managed across the entirety of its 2023 financial year.
Why consultancy numbers are worth reading
Advisory firms make an imperfect but unusually legible gauge of corporate AI spending, because they invoice for work someone has actually commissioned. Most vendor evidence describes interest; this describes money that changed hands in an audited period.
Newton referenced sector research putting potential new technology-services demand from agentic AI — systems that execute multi-step work without close human steering — at as much as $200 billion (roughly £158 billion) across the coming five years, with the firms that help clients get such systems running best placed to win it.
He offered one multinational engagement as illustration: a new AI-native business stood up inside six months, on a platform he said runs beyond 95% automation and has cut the cost of serving each customer by upwards of 60%. Single client-supplied examples are marketing as much as evidence, and are worth treating that way.
Looking forward
Sterling strengthened 4% against the dollar over the period, which flatters neither figure given how much of the group’s business sits in America. Canaccord Genuity joins Cavendish Capital Markets as joint corporate broker, a change Elixirr says will back its US growth and raise its profile with investors in North America. The interim statement lands on 21 September.
For UK readers tracking whether enterprise AI budgets are converting into paid delivery rather than pilots, this is among the clearer domestic signals available — and it points upward, at a moment when public-market enthusiasm for AI is doing the opposite.