Workflow automation
Open-source workflow automation that can be self-hosted, and the platform we build most quote-to-cash automations on.
n8n is the connective layer rather than a stage. It moves data between the CRM, the billing system, the ledger, email, and AI models, and runs the logic in between: when to send a reminder, when to escalate, what to do with a customer reply.
We use it more than any other automation platform because it can be self-hosted, handles complex branching and code steps, and does not charge per task, which matters for high-volume finance workflows like invoice parsing or daily AR syncs.
We design, build, and host n8n workflows for quote-to-cash: dunning sequences, invoice and PO parsing, CRM to accounting syncs, and AI steps, with error handling and monitoring built in.
| Platform | n8n |
|---|---|
| Category | Workflow automation |
| Quote-to-cash stages | Every stage (connective layer) |
| Website | n8n.io |
| RevExOS guides | 3 |
| RevExOS case studies | 14 |
Sep 15, 2026
A 7-node n8n workflow that pulls overdue invoices, sorts them by cadence stage, drafts the collections email with Claude, and sends it, no custom backend required.
Sep 5, 2026
Rigid dunning tools send the same email to every customer at the same day threshold. Claude reasons about two things a template can't: how overdue the invoice is, and how much the relationship is worth protecting. Here's how that actually works, with real examples.
May 31, 2026
A detailed breakdown of how Claude - Anthropic's AI - can automate every phase of the quote-to-cash cycle: from CPQ and contract review through billing, revenue recognition, and collections. With real workflow examples and integration patterns.
Client projects where n8n was part of the stack

Invoice Parsing
AI agents fetch PDFs and images straight from Gmail and Drive, extract every field with OCR + LLM parsing, and write clean structured data to Sheets - without anyone touching an inbox.

AR Automation
From invoice creation through multi-stage approval, payment batching, and proof-of-payment delivery - a full accounts receivable system running without a single manual touch.
AI Infrastructure
A scheduled n8n pipeline pulls source data, chunks and embeds it with OpenAI, and keeps a Pinecone vector index current - the retrieval layer behind an AI agent that can actually answer questions on real data.

Cold Email
AI drafts every campaign from a knowledge base of what already worked, and a second automation layer generates and configures the domains, inboxes, and DNS records needed to send thousands of emails a day without landing in spam.

Cold Email
Every reply from Smartlead, Instantly, or Gmass gets an AI-assigned category the moment it lands, interested leads go straight to the sales team, not-interested gets ignored, and everything else routes into a nurture sub-campaign automatically.

Cold Calling
A VAPI voice agent calls the lead, asks qualifying questions, checks the sales rep's real calendar availability, books the meeting, and sends a confirmation, with a fallback email if nothing gets booked live.

Lead Gen
When Apollo or Sales Navigator can't hit a specific local or niche target, a scraping layer built on Apify pulls companies and contacts by keyword and location, enriches and verifies them, and feeds outreach directly.

Content Automation
AI agents write blog posts, social captions, and video descriptions grounded in a real knowledge base and live web search, route them through a client review step, and publish straight to WordPress, Webflow, and every major social platform.

Content Automation
An n8n pipeline pulls news from Google SERP, Bing, Perplexity, RSS feeds, and newsletters, scores it for relevance, filters out the noise, and turns the best of it into emails, LinkedIn posts, and other formats automatically.

AI Agents
An AI agent pulls the full prior conversation before drafting a reply, so responses on email, SMS, WhatsApp, Slack, Discord, and Telegram sound like a specific person answering, not a canned bot, with an optional human approval step.

AI Agents
A scheduled AI agent pulls opportunities, accounts, and interaction history straight from the CRM, compares progress against the monthly target, and posts prioritized, specific recommendations to Slack, not a generic summary.

AI Agents
A scheduled workflow pulls live candles, moving averages, and volume for a watchlist of stocks and crypto pairs, and pushes a Telegram alert the moment a symbol crosses a threshold worth acting on.

Analytics
Campaign analytics get pulled from Smartlead and Instantly on a schedule and written straight into an Airtable client-reporting dashboard, replacing a manual weekly export nobody looked forward to doing.

Infrastructure
Instead of paying for hosted n8n or Make credits at scale, workflows run self-hosted on DigitalOcean, Contabo, or Railway with Docker, cutting the per-execution cost that adds up fast on high-volume workflows.
Yes, especially for high-volume or logic-heavy workflows. Self-hosting keeps financial data on your own infrastructure, and there is no per-task pricing.
Make is faster for simple workflows and non-technical teams. n8n is better for complex branching, code steps, self-hosting, and high volumes.
Yes. A typical build reads overdue invoices from the ledger daily, picks the right step in the cadence per customer, drafts the message, and logs the outcome.
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