Service

AI Workflow Automation

Production n8n and Python automations that route data, connect your tools, and run unattended — built with backend discipline, not brittle no-code glue.

  • n8n
  • Python
  • APIs
  • Webhooks

The problem

Most automations are easy to demo and hard to keep running. A workflow that works on the happy path eventually meets a timed-out API, a duplicated webhook, or a half-written record — and silently corrupts data or just stops.

Teams end up babysitting fragile no-code flows or copying data by hand because nobody built the automation to survive the real world.

What's included

  • Workflow design and build in n8n, Python, or a mix — whatever fits the job
  • Integrations across your existing tools via APIs and webhooks
  • Error handling, retries, and idempotency so reruns don't double-charge or duplicate
  • Observability: logging and alerting so you know when something needs attention
  • Documentation and handover so your team can run and extend it

How it works

  1. 01

    Map the workflow

    We trace the current process end to end and agree on the triggers, steps, and failure cases before building.

  2. 02

    Build incrementally

    I build and test each stage against real data, starting with the happy path and hardening the edges.

  3. 03

    Harden for production

    Retries, idempotency, explicit error branches, and alerting so it runs unattended.

  4. 04

    Hand over

    Documentation, a walkthrough, and clear ownership so it keeps running without me.

Questions

Do you work with n8n specifically, or other tools too?
n8n is my default for most automation work, but I use Python, serverless functions, or custom services when they fit better. The tool follows the problem, not the other way around.
Can you work with our existing systems?
Yes — most of the work is integrating tools you already use through their APIs and webhooks. If a system has no API, I'll tell you honestly and propose the most reliable alternative.
What makes an automation 'production-grade'?
It handles partial failures, doesn't duplicate work when retried, alerts you when something breaks, and is documented well enough that you're not dependent on me to keep it running.

Need a production-grade backend, integration, or automation system?

Let's turn the workflow into reliable software.