Connecting tools, automating handovers, deploying agents where they make sense. The work that takes friction out of your day-to-day — so the team stops doing what the systems should be doing, and starts doing what only people can.
The fastest way to ruin a process is to automate it before fixing it. We don’t. Before we automate anything, we look at whether the process underneath is actually worth automating — or whether the right move is to redesign the process first.
Done well, automation gives the team back hours every week and removes the silly mistakes that come from people doing what software should be doing. Done badly, it just lets you be wrong faster.
The repeated, rules-based work that’s currently sitting in someone’s inbox. Lead routing, quote generation, onboarding sequences, status updates, internal notifications, document generation. Implemented in Zapier, Make, n8n, or custom — whichever fits the job and the team that has to live with it.
Where the manual handovers between systems are eating time. CRM ↔ accounting, e-commerce ↔ fulfilment, marketing ↔ CRM, custom REST and webhook integrations — including the messy edge cases other firms quote and then ghost on. We work with the systems you already use; we don’t replace them unless that’s the right move.
AI applied where it actually earns its keep — classification, summarisation, drafting, structured data extraction, customer triage, internal Q&A on your own data. Including the ongoing work of running it: monitoring outputs, maintaining prompts, watching for drift. Someone has to manage the robots; we do that part too.
Before any of the above. A short engagement that maps where in your business automation would pay off, where it would actively make things worse, and where the underlying process needs attention first. Cheaper and lower-risk than committing to a build, and often surfaces work that doesn’t need automation at all.
Automation done well removes work, in a way the team can still understand and maintain when we’re gone. We don’t build black boxes. The workflows are documented. The integrations are debuggable. The AI prompts and outputs are inspectable.
That’s how you build something that actually saves the business time — instead of saving time on day one and quietly burning it again on day ninety when nobody knows how the thing works.
We’ll map what should be automated, what shouldn’t, and what’s worth starting with. Honest, no pitch.