Workflow automation and AI are powerful on their own, together they're transformative. n8n, an open-source automation platform, is one of our favourite tools for connecting AI to the systems a business already uses.
Why n8n
n8n stands out for business automation because it's:
- Open-source and self-hostable: your data stays under your control.
- Visual: workflows are built as connected nodes, easy to understand and maintain.
- Extensible: hundreds of integrations, plus the ability to call any API or AI model.
A simple example
Imagine automating inbound support emails. The workflow might:
- Trigger when a new email arrives.
- Send the content to an AI model for classification and a draft reply.
- Route urgent issues to a human, and auto-respond to routine ones.
A node calling an AI model could pass a prompt like this:
{
"model": "gpt-4o-mini",
"messages": [
{ "role": "system", "content": "Classify and draft a reply to this support email." },
{ "role": "user", "content": "{{ $json.emailBody }}" }
]
}
The AI's response then flows into the next nodes, updating your helpdesk, notifying a team in Slack, or sending the reply.
The pattern is always the same: a trigger, an AI step that adds intelligence, and actions that update your real systems.
Where to apply it
We've used this approach for lead enrichment, document processing, invoice handling, content workflows, and CRM updates. Anywhere a person copies data between systems or makes a repetitive judgement call is a candidate.
Getting started safely
Start small and keep a human in the loop for anything high-impact. Map one process, automate it, measure the time saved, and expand. Most teams are surprised how quickly the hours add up once the first workflow is live.