The problem, and what it cost
The same pattern turned up in business after business: work that is essential, entirely repetitive, and done by hand. Re-keying between systems that do not talk. Chasing approvals by email. Assembling the same report every week from the same four places.
None of it is anyone's job, which is why it lands on whoever has capacity — often the people whose time is worth the most. Each business was losing hours every week to it.
The cost is the headcount tax: growth means more admin, more admin means another hire, and the new hire does the same manual work faster for a while.
The outcome we agreed to measure
In each case we agreed the measure up front: time spent on the specific process each week, and the error rate on the work coming out of it.
Baselines were taken by timing the real process with the people doing it.
What we built
For each business, the process was automated end to end rather than in pieces — trigger, data movement between systems, the decision rules, the approval step, and the output — so nobody is left holding the awkward middle part.
Where a decision genuinely needs judgement, a person makes it, but only that decision is put in front of them. Everything around it is prepared.
Where a spreadsheet or an existing feature already solved it, that is what we recommended, and we did not build anything.
The number
hourstoautomated
Weekly admin, before and after — across several Australian businesses.
Where it runs now
The automations run in these businesses today. Hours of weekly admin are handled without anyone touching them, and volume has grown without the matching increase in headcount.
Each remains in production, and we continue to support them.
Different business, same shape of problem?
That's usually how these start. Tell us what the process is costing you and we'll say whether it's worth building for.