AI Automation
The repetitive work your team does every week, handed to a system that does not forget, does not get bored, and does not need chasing.
- TriggerEnquiry received
- ClaudeExtract and classify
- n8nEnrich company data
- HubSpotCRM record created
- ClaudeReply drafted
- SlackOwner notified
A form comes in, the system reads it, files it, drafts the reply and tells the owner. Under thirty seconds, no one touches it.
What actually gets automated
Almost every team we meet has the same three or four jobs eating their week. Someone copies a form submission into a CRM. Someone reformats a report every Monday. Someone chases an approval that has been sitting in an inbox for four days. None of it is hard. All of it is expensive, because it is being done by people you hired to think.
We start by watching the work rather than asking about it. A short audit maps where the hours go, what triggers each task, and what a finished version looks like. Then we rank those jobs by hours saved against effort to build, and we start at the top. You approve the list before anything gets built.
Why AI, and where it stays out of the way
Most of an automation is plumbing: move this, check that, write it here. Plumbing should be deterministic, and we build it that way. AI comes in only where judgement is genuinely needed, such as reading an unstructured email, classifying an enquiry, summarising a call, or drafting a first reply in your tone of voice.
That split matters. It keeps costs predictable, it keeps behaviour stable, and it means a model having an off day cannot quietly corrupt your pipeline. Anything irreversible, such as sending an external email or issuing a refund, waits for a human to press the button.
Built to be run for you
Every flow ships with documentation, a monitoring dashboard, and alerting when a run fails. Silent breakage is the thing that kills automation projects, so we make failure loud and cheap to fix.
Then we keep running it. The workflows sit in their own project on our infrastructure, isolated from every other client, and watching them is our job: a failed run reaches us before it reaches you. Your team gets a working session on using the output and reading the dashboard, rather than a rota for babysitting it.