AI where it earns its keep; in your business, and behind the build.
We use AI in two places that mirror each other. Inside your operation, to remove the boring 80% of looking things up and re-typing documents but with your team still making the calls that matter. And in how we develop, as part of modern practice, so we can deliver more carefully reviewed software without inflating the budget.
Efficiency in the back office, not theatre on the website.
AI earns its keep when it sits inside the workflow you already have. It should be pulling structure out of documents, drafting from your own systems, surfacing the one line in a thousand that needs a human. We help you find the half-dozen places it actually pays back, then wire it in properly: controlled access to your data, every lookup logged, drafts in front of the people who already do the job.
Customer services
Inbound emails read, customer and order looked up across your CRM, fulfilment and courier systems. There should be a draft reply waiting when your agent opens the ticket. They edit if needed and press send. Forty seconds instead of twenty minutes of tab-flipping.
Read: AI in customer servicesDocument understanding
Purchase orders, supplier price lists, delivery notes. Extract and match against your catalogue and pricing, exceptions flagged. The order desk stops typing and starts judging.
Read: AI for document understandingQuoting & sales
Enquiries turned into draft quotes from your contracted prices, stock and lead times. The salesperson sets the margin and sends. The bit where commercial judgement actually matters.
Read: AI for drafting quotes- Humans in the loop: drafts to a person. They review, edit or reject. Liability, tone and edge cases stay with your team.
- Your data, not the open internet: lookups against your CRM, ERP and APIs through controlled, auditable connections.
- Start small, measure: one inbox or one document type, tune from real edits and rejections, expand when it's working.
A first useful version for one workflow is usually four to six weeks. Payback on a busy inbox or order desk is often inside a quarter, sometimes faster.
Same pattern, both sides: the machine does the looking-up; the person makes the call.
Modern development, without making a fuss about it.
We use AI-assisted tooling in our day-to-day work, just like any serious dev shop does in 2026. It helps us move faster on boilerplate, tests, and exploring options. It does not replace the judgement of the senior developer who scoped your project and will still be the one answering when you call.
That efficiency is part of why fixed-scope quotes stay honest: more of your budget goes into the software that has to work on Tuesday morning, not into us typing the same integration pattern for the hundredth time. We’re not selling “AI-built software”. We’re selling custom software, built by the same people who pitched it, with every line still reviewed.
Wondering where AI fits in your operation?
Tell us about the inbox, order desk or quote queue that eats the week. We’ll walk through what a sensible first version might look like.