We automate the repetitive half of your week — chasing, drafting, checking, copying between systems — with a person always approving anything that reaches a customer.
Most AI automation sold to small businesses is either a chatbot nobody wanted or a subscription that needs a full-time person to babysit it. What actually returns hours is narrower and duller: the recurring jobs that are pure mechanics, done overnight, waiting for someone to press send in the morning.
We build those. The pattern is always the same — software finds the work, AI drafts the output, a person approves it. Nothing generated reaches one of your customers unreviewed, ever.
Overdue invoices identified, chase messages drafted with the right details attached, escalating politely on a schedule you set. Accounts that need special handling get skipped automatically.
Quotes sent and never chased, customers who've gone quiet, enquiries that went cold. The list gets made and the messages get drafted.
Inbound enquiries categorised, prioritised, summarised in a line, with a suggested reply ready. Urgent things flagged to a named person.
Renewals, appointments, reorder nudges, review requests — matched to what each customer actually buys rather than blasted at everyone.
Supplier invoices and delivery notes read and turned into structured data, without a template per supplier.
When a repeated job is bigger than a nudge, we build an agent for it. Six of them run daily in our own platform, all drafting for approval.
Chasing information requests, nudging stalled onboarding, triaging the inbox and pre-reviewing work — every one drafting for human approval.
Twenty-plus modules, six AI agents and full HMRC Making Tax Digital filing, built to replace the separate tools an accountancy firm usually runs on. In testing ahead of ISO 27001 certification.
Read the case study →Not without a person reading them first. Everything lands in an approval queue. That's a design decision rather than a limitation we're working towards removing — the occasional bad message costs more than all the time saved.
A fixed price for the build, agreed before anything starts, plus a small monthly fee covering hosting and AI usage. A single automation is usually days of work rather than weeks. We quote after a short technical check, never before.
No. We read from what you already run. If a system genuinely can't be read, we tell you at the audit stage rather than three weeks into a project.
Every automated action is logged and attributable, anything ignored twice escalates to a person, and we only automate jobs where a mistake is cheap and visible rather than expensive and silent.
No. A language model answering from memory would be confidently wrong about your prices and your customers. Everything here retrieves facts from your own systems at the moment of asking — the model reads and writes, it doesn't remember.
Tell us the job that keeps not getting done. We'll tell you if software can take it off you, and what it costs.