Service
Process Automation
Most businesses have a process that only works because somebody is quietly holding it together every week. We take the repeatable half of that process off the person, leave them the judgement, and make the system report what it did and ask for a human whenever the rule stops applying.
What you get
- Workflow automation across systems that were never designed to talk to each other
- Scheduled reconciliations that check two sources agree and raise the ones that do not
- Exception queues — the system handles the routine and routes the unusual to a person
- Document, file and data handoffs that no longer depend on somebody remembering
- Monitoring and alerting built with the automation, not after the first failure
- Handover documentation and runbooks so the process is owned by your team, not by us
- Python
- TypeScript
- SQL
- Scheduled workflows
- REST and platform APIs
- Monitoring and alerting
Where this ends and the next service begins
This work fits when the systems and the rules already exist but people are still bridging the gaps by copying, checking, chasing and remembering. Sometimes the answer is a scheduled job between two systems you already pay for, sometimes a few lines of glue, and sometimes a step that should stop happening; a new application is the last option considered, not the first.
When the missing piece is a durable application — an API, an admin console, a customer-facing product — the work belongs under platform engineering. Anything living in advertising accounts, product feeds or conversion measurement stays under paid media and marketing data, even when automation is most of the answer.
We start with the work, not the tool
Before anything is automated we watch the process as it actually runs, including the workarounds nobody documented. That usually changes the scope: some steps exist for a good reason, some exist because a system could not do something in 2019, and some should be deleted rather than automated. The people doing the work are the source of that knowledge, and the cheapest improvement is often not a build at all.
The rule gets automated, the judgement stays with a person
Automation earns its place on the repeatable part of a decision. Everything that depends on context, negotiation or an exception belongs to a person, so the system is built to hand those cases over rather than guess. Exceptions arrive in a queue with the reason attached, and every automated action is logged so the work can be reviewed after the fact instead of taken on trust.
It is checked before it takes over
Where the old and new versions can safely run side by side, they run side by side until they agree on the dimensions that can actually be wrong, not just the totals. Where running both would double a payment, a message or a stock movement, the automation starts in dry-run: it logs the action it would have taken, and those are reconciled before anything is allowed to write. Monitoring and an exception path exist before handover, and handover includes the documentation and access needed to run, change and switch the thing off without us.