What we do

AI pays off in more places than you'd think.

Clearing repetitive work is just the start. We look at your whole operation for opportunities to save time, recover revenue, sharpen decisions, and do things you couldn't before, and we put a number on every one.

Take the busywork off your team

The obvious wins first: repetitive work that happens again and again and doesn't need a person. Usually the fastest thing to pay for itself.

  • Quotes and proposals
  • Invoicing and back-office admin
  • Inbox triage and scheduling
  • Recurring reporting

Recover revenue you're already losing

Money that slips out the side of a busy business: enquiries that go cold, follow-ups that never happen, no-shows, invoices left unpaid, advertising spent on the wrong things. AI catches what your team can't get to in time.

  • Missed enquiries answered 24/7
  • Persistent, consistent follow-up
  • No-show and cancellation recovery
  • Unpaid invoices chased automatically
  • Ad spend reallocated to what actually converts
  • Creative and copy tested at volume, not one variant a month
  • Lead quality scored and fed back to the ad platform, so it optimises for customers not clicks
  • Wasted spend flagged the week it happens, not at the quarterly review

Turn your data into decisions

You already collect more than you use. AI surfaces the patterns, forecasts what's coming, and flags the risks and openings, so you decide on evidence, not gut feel.

  • Demand and cashflow forecasting
  • Early warning on customers about to leave
  • Plain-English answers over your own data
  • Numbers that move unexpectedly, flagged

Do something you couldn't before

Not automating an old task. Adding a capability. Often a system your team logs into and uses, or a new front door for your customers. The kind of thing that used to need more headcount, or simply wasn't possible at your size.

  • An assistant your team can just ask
  • A dashboard your team logs into each morning
  • A voice line that answers and books, day or night
  • Photos read, checked and logged automatically
  • A self-serve portal for your customers

How we decide what's worth doing

When we look at a tool, we look at three numbers: how long it takes to set up, how many hours a week it saves, and how much it cuts mistakes. Take a firm doing manual quote extraction: three people, a few hours each per week, call it nine hours in total. Automating the extraction step recovers around 60% of that, roughly five or six hours back a week. That's the sort of threshold we look for before we recommend changing anything.

If a platform takes six weeks to set up and saves two hours a month, we'll tell you to skip it.

Not sure which of these applies to you?

That's what the audit is for. Answer a few questions and we'll tell you where to look.

Enquire