Automation of repetitive processes
We take repetitive tasks off your team: reports, reconciliations and notifications.
The first step is writing down the process as it is done today, exceptions included. Exceptions drive the cost: the main rule is usually simple, and what takes the time is what happens when it does not apply.
An automation that fails silently is worse than none. So each one alerts you when something goes wrong and keeps a record of what it did.
What you get
- The automation running on a server, not on someone's computer
- Alerts when something fails, with the details needed to fix it
- Documentation of the flow and how to change it
Who it is for
- Teams that spend hours every week copying, pasting and cross-checking data
- Processes with clear rules that today depend on a single person
When we are not the right fit
- If the process changes every week or is not defined yet: it needs to be agreed first
What we build it with
- Python
- Celery
- Redis
- pandas
Frequently asked questions
- What happens if the automation fails?
- It alerts you with the error details and does not carry on with doubtful data. Heavy tasks run in the background and can be retried.