Business Automation Engineering
Automations that still work in six months
Python · n8n · Power Automate · PostgreSQL · Docker
Tool-agnostic by design#
Examples are shown across more than one automation platform, because the platform is the most replaceable part of the system. The engineering properties are what transfer.
What you build#
A complete document-processing automation with deduplication, validation, a review queue and a run log — the same architecture as the Invoice Processing project on this site.
Curriculum
4 sections · 11 lessons
Process before tooling
- Mapping the real process, not the documented one
- Choosing what to automate
- Building the ROI case
Engineering properties
- Idempotency and deduplication keys
- Retries and backoff
- Input shape validation
Failure
- Designing the review queue
- Alerting a person, not a log
- Recovering from partial failure
Observability and hand-off
- The run log table
- Documentation for the person who inherits it
Free material on this topic
AI Invoice Processing System
An invoice pipeline that extracts structured data, scores its own confidence per field, and routes anything uncertain to a person — because 95% accuracy on invoices is a finance problem.
Automation That Survives Monday Morning
Most business automations break quietly within a month. Idempotency, error handling and observability are what separate a demo from a system.