Services

Industries and processes

The same way of working, grounded in the processes of one industry or one department. If you are looking for answers for your own area, start with the page that speaks to it:

• AI in a manufacturing company — Which processes to start with — and why the first results are usually in the production office, not on the floor.
• Customer service automation — What to automate before a chatbot: qualifying enquiries, replies drafted for approval, and the back office.
• Accounting automation — The system reads, posts and reconciles — a person approves, and the responsibility stays with them.
• AI in a transport company — Orders, transport documents, slot bookings and settlements — before anyone promises route optimisation.
• AI in a trading company — Orders, offers and customer enquiries — document processes where results show in weeks.
• AI in a construction company — Tenders, cost invoices and subcontractor accounts — before anyone promises site analytics from photos.
• AI in a sales team — Enquiries, quotes and the CRM — a shorter path from enquiry to offer, with no cold-email machines.

Before you choose

If it is not yet clear which process in your business is a candidate, start with AI implementation — the other three are usually a stage of it or a consequence of it, rather than separate routes.

Two documents answer the questions that come up most often in a sales conversation, and are worth reading whichever service you pick:

• Delivery methodology — Four phases, a concrete output at the end of each, the split of decisions — and the conditions under which we advise against a project.
• Security and GDPR — Where data goes in a model integration, who is controller and who is processor, and how the AI Act differs from the GDPR.