// Automate the Busywork
The Automations That Erased a Team's Manual Data Entry
An operations team buried in rekeying and manual routing
The story in briefManual data entry quietly eats about a quarter of the workday. We automated the seams where it happened: new enquiries get AI-researched and turned into de-duplicated records automatically, documents get read and filed without rekeying, and events post to the right channel the instant they happen — retiring an eight-year manual workaround that ran roughly 5,000 times a month.
The situation
A team was spending its week on work a machine should have been doing: retyping information between systems, researching and entering new enquiries by hand, filing documents, and manually posting updates so the right people knew what happened. Industry data puts manual data entry at roughly 1.8 hours per person per day — about a quarter of the workday — and the errors that come with it.
Why the usual options fell short
The obvious fix is a connector tool, and for simple flows it works. But real operations have volume, branching, legacy systems without clean APIs, and exceptions — and connector platforms fail quietly at exactly those edges. A flow that breaks without telling anyone is worse than no automation, because people trust it until the day they discover it stopped. The team had been bridging the gaps with a manual workaround that ran thousands of times a month, which is to say the “automation” was still a person.
What we built
Production automations at the seams where the manual work lived. New enquiries trigger AI research and become de-duplicated records automatically, with impersonation and spam filtered out before anything is created. Documents are read and filed as structured records without rekeying. And events post to the right channel the instant they happen — a real-time integration that replaced an eight-year manual notification workaround running roughly 5,000 times a month. Every build has real error handling, retries, logging, and alerts, because an automation that fails silently is a liability, not a tool.
The part they didn’t expect
How much the eliminated work had been costing in attention, not just time. The hour lost between an enquiry arriving and someone acting on it disappeared. The retyping stopped. And because every automation logs its runs and raises a hand on failure, the team gained visibility into work that used to be invisible until something went wrong.
The payoff
- Manual data entry — which typically consumes about 23% of the workday — removed from the seams where it lived.
- An eight-year manual workaround running roughly 5,000 times a month, retired by one real-time integration.
- Automations that fail loudly, not silently: error handling, retries, logging, and alerts on every build.
- The kind of automation that, industry-wide, cuts data-entry errors by up to 88% and pays back in months.
// is this you?
If this sounds like a problem you recognize — even if you never pictured building your own answer to it — that is usually the sign. Describe your version and a senior engineer will tell you plainly whether it is the kind of thing we build.
Start a project// common questions
Questions about this kind of build
Which processes are worth automating first?
High-frequency, rule-based work with clear inputs: intake and routing, document-to-record entry, status updates between systems, and recurring reports. We time the current process during discovery and rank candidates by hours consumed and error cost, so the first automation pays for itself fastest.
How is this different from a connector tool like Zapier?
Connector platforms fit simple, low-volume flows. They break down on volume, complex branching, legacy systems, and exception handling. We build automations with real error handling, retries, logging, and alerts — one of these replaced an eight-year connector flow running about 5,000 times a month.
What happens when an automation hits a case it can't handle?
It routes the exception to a human with full context and keeps processing everything else. Silent failure is the cardinal sin of automation, so every build logs each run and alerts on failure.
// next step
Have a system in mind?
Describe what you are trying to build or fix. A senior engineer reviews every inquiry and responds directly, with a technical read on the problem.