The gap between learning about AI and putting it into production

Most organisations now have people who have “done AI”. They have sat through a demonstration, tried a model, perhaps even written a prompt library. That is not the same as being able to put a system into production.

The gap is not usually a shortage of tools. It is the distance between a fluent conversation about models and a system that has owners, interfaces, failure modes and a budget. Training that never meets that system becomes performance. Architecture that never meets the people who will ship it becomes a presentation.

Linear Horizon works in that gap. We teach so that engineers can judge a design. We advise so that the organisation knows what a good outcome would actually look like. We build so that the system leaves the lab. And we provide productised technology — Platform, Stack, Wargame, Funnel and Callcenter — so that not every engagement starts from a blank page.

You do not have to buy the whole path. You can enter at learning, at discovery, at delivery, or at a product. The point is that the same practice can walk the rest of the way — from capability to production — without handing the problem to a different kind of company halfway through.