AI automation use cases with a clear before and after.
Each one starts with work your team does by hand today and ends with a system that runs it, connected to the tools you already use.
Teams we've built for
Six processes we automate most
Automated reporting
Recurring reports that build themselves from your systems and flag what looks wrong.
Client onboarding
Forms, documents, checks, and approvals in one onboarding flow your team can see.
Document processing
Incoming files and forms read, checked, and entered into your systems without retyping.
Inventory and warehouse
Scanners, orders, and stores update one inventory record, so counts stay right.
Client follow-ups
An agent that sends files, chases replies, and passes tricky messages to your team.
Zapier and n8n flows
Zapier, Make, and n8n flows fixed, or moved into code when they've outgrown no-code.
Similar work, already live
“The agent they built handles sending files and following up with clients, which used to take one of us two full days a week.”
“We'd been putting off automating our reporting for ages and they had it done in about three weeks.”
“Honestly the main thing is our inventory numbers are actually right now. It all used to be typed in by hand, now the scanners feed straight into the system.”
Founded by Colin Burke in 2018.
Not on the list?
A good first project repeats, costs enough to notice, and has someone who can judge the output. If yours fits, tell us about it.
Tell us the process you'd automate first.
We'll tell you whether it's a good first project and how we'd start.