Enceladus is based in York, and most of the businesses we work with are within an hour of it: manufacturers along the corridor from Sheffield to Teesside, food and drink producers across the county, publishers and agencies in Leeds and York, and the professional-services firms that serve them. The group has built for many of them for twenty years. Here is what we see in how they are approaching AI, and it is not so different from the global businesses we work with; it is just closer.

The use is already there, unofficially

In every business, staff are using personal AI accounts to draft, summarise, translate and write code, because the official position is either a block or silence. The appetite is not the problem. The governance is, and it is the cheapest problem to fix: enterprise tools on no-training terms, a policy, an hour of training. Most Yorkshire businesses we talk to could unlock their fastest value in six weeks with that alone.

Leadership teams want a vocabulary before a vendor

The boards we meet are tired of demos. What they want is to understand the technology well enough to make decisions about it, and to know what their competitors, often other Northern manufacturers and producers, are actually doing. A leadership awareness session tailored to the sector is the first engagement for most, and it is run in their boardroom, not on a call.

The data is in silos, and everyone knows it

Manufacturers with an ERP, a test system and a dozen departmental spreadsheets. Producers whose trade customers order by email. Publishers with archives nobody can search. The ambitious AI ideas, forecasting, intelligence, knowledge, are the same everywhere and they are gated by the same thing. The businesses that make progress are the ones that start the data foundations early and run the ready-now wins alongside, rather than waiting for a model to solve a data problem.

Where the quick wins are, by sector

  • Manufacturers: governed productivity tools, quality and test-data analysis on data in hand, spend and purchase-order anomalies in the ERP, a knowledge assistant over standards and SOPs.
  • Food and drink producers: traceability and complaints mining, trade-portal assistants, governed productivity.
  • Publishers and agencies: support triage over bespoke builds, content at scale with review, reporting automation, AI-search visibility.
  • Professional services and charities: document and contract intelligence, supporter and client service assistants, knowledge bases.

Why being here matters

The parts of an AI programme that decide its outcome happen in rooms: the leadership session, the divergent and convergent workshops, the data audit with the people who own the systems. We run them on site as standard because we can, and because the people who do the work say things in their own building that they do not say on a call. Being on the East Coast main line means the same is true in Newcastle, Leeds, Sheffield and London.

Our local page is AI consultancy in York; the sectors are under industries.