Typical engagements, from problem to working system

Staff lose time searching shared drives and asking colleagues. We index the documents and put an assistant on top that answers with the source cited, so the answer arrives in seconds and can be checked.

Tickets arrive faster than the team can triage. An agent reads each one, drafts the reply from your documentation and files the ticket in the right queue; a person approves anything it is unsure about.

Hundreds of applications, one recruiter. The system extracts experience and skills, scores each candidate against the role and writes the shortlist with reasons, ready for review.

Supplier invoices arrive as PDFs and photos. OCR and field extraction pull the header and line items, validation flags anything that does not add up, and the clean record is exported to accounting.

An order in the webshop triggers the confirmation, the warehouse notification and the invoice draft in n8n or Make. No AI, no manual step, every run logged.

Two systems, two versions of the truth. Middleware syncs products, stock and orders both ways on a schedule, with a log of every change and an alert when a sync fails.

The process outgrew Excel: five people editing one file. We replace it with a small internal app - roles, validation, history - and a dashboard that shows the numbers management asks for.

You have the domain knowledge and the customers; the product needs AI at its centre. We design the data flow, build the product around the model and run it in production.

A discovery phase settles the scope, an MVP ships to the first users in six to eight weeks, and the product grows in phases from there. Multi-tenant from day one.

Site, webshop or booking system, built on the same stack as everything else we ship, hosted and maintained by us.