Useful automation starts by understanding the real work, before choosing a tool. This guide helps you make that decision with data, tests and clear ownership.
Where it fits your workflow
We choose n8n, custom code or both based on complexity, security and maintainability. When a workflow needs specific logic, we build components and systems designed to grow.
How to plan the implementation
Version the workflow and credentials by environment. Document triggers, retries and recovery so an API failure does not leave the process half-finished.
Before implementation, map the source data, the expected outcome and the person who approves exceptions. Check which systems offer an API and which steps need manual review.
What to measure and when to step in
Set a baseline and monitor successful runs, recovered failures and maintenance time. An automatic outcome is not necessarily a correct one: keep uncertain cases visible and record staff corrections.
Check duplicate runs, expired credentials and retries that might repeat critical actions.
AI-powered invoicing systems
We build invoicing workflows that read documents, prepare data and check statuses with AI assistance. Sensitive amounts and documents go through human validation.
See how we build it ↗What comes next?
Choose one workflow, document how it works today and note the time it takes and common errors. With that baseline, we can define a small test before expanding the automation.