Solutions
The work someone does by copying data stops being done by hand.
Workflows, notifications, approvals and integrations across the tools already in use. Not replacing the system that works — connecting it.
When it makes sense
How an automatable process announces itself.
The candidates are easy to spot, because they always sound the same:
- Someone exports a file from one system to load it into another, every week.
- A request moves along by email and nobody knows which step it is on without asking.
- The notice arrives late because it depends on a person remembering to send it.
- The same document is produced by hand with four fields changed.
- A data-entry error surfaces weeks later, once the figure has already been used.
- Growing means hiring someone else to do the same repetitive work.
What we build
Pieces of automation.
Forms that validate
Capture with rules, conditional fields, attachments and automatic notice to whoever is responsible. The information arrives correct the first time.
Approval workflows
Request, review, approval and notification, with visible states and an owner at every step.
Synchronization between tools
So a value exists once and travels on its own between the systems that duplicate it today.
Notices and reminders
Email, messaging or push, triggered by a condition in the system rather than by someone’s memory.
Document generation
Contracts, reports or certificates produced from system data, with a controlled template.
Tracking dashboards
The state of the process on one screen, so "how is it going?" stops being a message.
How it is built
An automation that fails silently is worse than the manual work.
An automation that fails silently is worse than the manual work.
The risk in automating is not that it will not work. It is that it stops working without anyone noticing, and for three weeks the process runs on data that never arrived. Everything on this list exists so that scenario does not happen.
- Every run is logged, with its input, its result and its timestamp.
- Controlled retries: repeating a step does not duplicate its effect.
- An alert to a person when failures exceed what is tolerable.
- Explicit permissions: the automation acts with the smallest account possible.
- A manual intervention point for cases that fall outside what was foreseen.
- Documentation so your team can change a rule without calling us.
- APIs
- Webhooks
- Firebase
How it is delivered
From process map to handover.
Map
How it actually works today, including the exceptions nobody documented.
Pilot
One workflow — the most repeated one — running end to end.
Build
The remaining workflows, with logging and alerting from day one.
Verification
It runs alongside the manual process until both agree.
Handover
Documentation, training, and who to call when something stops.
Automation has always been delivered inside larger projects: the forms, notices and integrations that are part of the platforms published in /case-studies. What does not exist yet is a named case where automation was the whole engagement. It is documented practice, not a line with a case of its own.
Tell us about the process that repeats the most.
Watching it run once is usually enough to say whether automating it is worth it.