Process Automation
Every team has work that a computer should be doing: copying data between systems, processing documents, chasing approvals. We automate it with intelligent workflows and AI, so your people spend their time on the work that actually needs a human. We build for New Zealand businesses from Hamilton, in the Waikato.
What's included
Workflow automation
Multistep processes orchestrated end to end, with the right approvals and handoffs built in.
Document AI
Extract, classify and route information from invoices, forms and PDFs without manual data entry.
Integration APIs
The connective tissue between your systems, so data moves automatically instead of by copy and paste.
Human in the loop
Automation that knows when to ask, flagging edge cases for review instead of failing silently.
Stop doing what software should
Every team has work a computer should be doing: copying data between systems, rekeying invoices, chasing approvals, generating the same report every week. It's slow, it's error prone, and it's a waste of skilled people's time. We automate it end to end so your team is freed up for the work that genuinely needs a human.
Where automation pays off fastest
The best candidates are the tasks that are high volume, rule based and repetitive: document processing, data entry, status updates, routine notifications and handoffs between systems. We help you spot where automation will save the most time, then build it, usually starting with one painful process and expanding from there.
Built to be trusted
Automation people don't trust gets switched off. Ours is transparent and keeps a human in the loop where it matters, flagging edge cases for review instead of failing silently, logging every action, and degrading gracefully when an upstream system has a bad day. You always know what ran, when and why.
What we automate most often
Invoice and document handling is the usual first target: supplier invoices arriving as PDFs and email attachments, read and coded automatically with anything ambiguous routed to a person instead of guessed at. Close behind it are the jobs where one system needs telling what another already knows, so orders, jobs, timesheets or stock numbers stop being rekeyed by hand. Then the chasing: approvals that sit in someone's inbox, compliance dates that need watching, the weekly status report that gets assembled manually every Monday. None of it is glamorous work, which is exactly why it keeps getting done the slow way.
How we prove it paid off
Before we build anything we agree what the current process actually costs, in hours per week and in the errors it produces, because a saving nobody measured is a saving nobody believes. After go live the automation logs every run, so the time recovered and the exceptions caught are visible rather than asserted. If a process turns out not to be worth automating, we would rather tell you during discovery than invoice you for finding out. Being a small Hamilton based team means that conversation happens directly with the people who would do the work.