Automation that connects everything you already use
Companies run dozens of applications: CRM, ERP, email, spreadsheets, messaging platforms, project management tools, online stores. Between them, hundreds of manual data transfers happen every week: copying form data into the CRM, sending an email when an order is updated, updating a spreadsheet with sales figures. Repetitive, error-prone work that adds no value.
Workflow automation platforms — n8n, Make (formerly Integromat), and Zapier — build those bridges automatically. What makes them especially powerful now is their integration with large language models (LLMs): the workflow doesn’t just move data, it can reason about it, generate text, classify, summarize, and make decisions based on the content.
n8n as the platform of choice
n8n stands out among automation tools for several reasons that matter in a business context:
Open source and self-hosted
You can install n8n on your own servers or private cloud, so workflow data never passes through third-party infrastructure. For companies with sensitive data — customers, contracts, financial information — that’s a decisive advantage over Zapier or Make, which are cloud-only services.
Native AI nodes
Recent versions of n8n include dedicated nodes for OpenAI and Anthropic models, Hugging Face models, and agent tools. You can build workflows where one step calls an LLM to classify an incoming email, extract data from a document, or draft a reply, and the result feeds the next step.
No operation limits when self-hosted
Unlike the cloud versions of Make or Zapier, where cost scales with operation volume, self-hosted n8n has no monthly operation cap. For high-volume workflows — processing hundreds of documents a day, continuous monitoring — that adds up to significant savings at scale.
AI automation examples
Email processing with AI classification
Every email that lands in a specific inbox goes to an LLM that identifies the type of request, extracts the key data, and routes it to the right system: the CRM if it’s a sales opportunity, the support system if it’s an issue, or a notification to the right department. All before anyone opens it.
Automated reporting
A weekly workflow pulls sales data from the ERP, consolidates it, calls the LLM to write the report’s narrative commentary, and emails it to the leadership team in the agreed format. The analyst’s two hours shrink to a ten-minute review.
CRM updates from outside interactions
After a meeting, a sales rep records voice notes on their phone. The workflow transcribes the audio (Whisper), extracts commitments and next steps (LLM), and updates the CRM with structured information automatically. No typing required.
Automation ROI
Comparable implementations report many hours of manual work eliminated per team every week once the automation workflows are in production. At the average hourly cost of administrative work, the payback period depends on the volume of automated tasks, the complexity of the workflows, and the opportunity cost of today’s manual processes.
Frequently asked questions
Do I need to know how to code to use n8n?
n8n has a visual interface of nodes and connections that requires no coding for most workflows. For advanced cases — complex data transformations, elaborate conditional logic — you can add JavaScript in specific nodes, which extends what’s possible without needing to be a developer.
What’s the difference between n8n, Make, and Zapier?
Zapier is the simplest and has the most prebuilt connectors — ideal for simple automations between popular apps. Make offers more flexibility for complex workflows. n8n adds self-hosting and has the best native AI nodes. The right choice depends on your privacy requirements, expected volume, and workflow complexity.
How long until the first workflow is up and running?
Simple workflows connecting two applications can be in production within hours. Workflows with AI processing, complex transformations, and internal system integration take one to three days to build and test. Planning the workflow design up front is what most affects the total time.