Stop paying humans to do what software should handle.
We build n8n-powered automation workflows that connect LLMs to your real business processes — document processing, data extraction, classification pipelines, and approval workflows. Measurable ROI from week one.
Self-Hosted, Your Data
n8n runs on your infrastructure. Sensitive documents, financial data, and customer information never leave your control.
AI Where It Matters
Most workflow steps are deterministic and reliable. LLMs are added surgically at the steps that need natural language understanding — reading documents, classifying inputs, extracting data.
No Execution Limits
Unlike Zapier or Make, n8n has no per-execution pricing. Process 50K+ events per day without your automation bill exploding.
Measurable ROI from Week One
Every workflow includes monitoring dashboards showing time saved, error rates reduced, and cost per processed item.
The Automation Gap Nobody Talks About
You've probably tried Zapier or Make. They work great for simple triggers — new row in Google Sheets, send a Slack message. And honestly, for straightforward workflows, that's often the right tool. But there's a gap: workflows that involve reading unstructured documents, making judgment calls about classification, or extracting data from messy real-world inputs. These require more than simple triggers, but they don't require a team of developers either. The right approach is usually a well-designed automation pipeline with LLMs added surgically at the specific steps that need natural language understanding — not sprinkled everywhere. We build workflows where most steps are deterministic and reliable, and AI handles only the parts that genuinely require it.
Our n8n + LLM Approach
We use n8n as the orchestration backbone because it's open-source, self-hosted (your data never leaves your infrastructure), and powerful enough to handle enterprise-grade workflows. Most steps in our workflows are deterministic — API calls, data transformations, conditional routing, database writes. LLMs are added only at specific steps that genuinely need natural language understanding: reading unstructured documents, classifying ambiguous inputs, or extracting data from formats that aren't machine-readable. A typical workflow: email arrives with invoice attachment → OCR extracts text → LLM extracts vendor, amount, line items, and payment terms → deterministic validation rules check for anomalies → approved invoices auto-enter the ERP → flagged invoices route to a human reviewer with highlighted issues. The LLM handles one step; reliable automation handles the rest. What used to take a finance team 20 minutes per invoice now takes 8 seconds.
Use Cases That Drive Real ROI
Document processing: government compliance applications reduced from 3-week processing to 2 days, with 95% automated. Invoice processing: extract data from any format (PDF, email, scanned image) and auto-enter into your accounting system. Contract analysis: identify key clauses, flag risks, and extract renewal dates from hundreds of contracts. Email triage: classify incoming emails by intent, urgency, and department, then route to the right person with a drafted response. Data enrichment: take a list of company names and automatically pull firmographic data, recent funding, tech stack, and contact info. Each of these is a production workflow we've built and deployed, handling real volume at real companies.
Why n8n Over Zapier or Make
Three reasons funded companies choose n8n (and us to implement it): First, self-hosted means your data stays on your infrastructure — critical for companies handling financial, medical, or government data. Second, n8n has no execution limits — Zapier's pricing scales with your workflow volume, which kills ROI at scale. Third, n8n's code nodes let us write custom logic when the visual builder isn't enough, which is always the case for LLM-powered workflows. We've run n8n workflows processing 50K+ events per day with 99.9% uptime. It's battle-tested infrastructure, not a toy.
Technology Stack
Frequently Asked Questions
What's the difference between n8n and Zapier?
n8n is open-source and self-hosted — your data stays on your servers, there are no execution limits, and you can write custom code when needed. Zapier is cloud-only, charges per execution, and limits what you can do with complex logic. For simple automations (new lead → Slack notification), Zapier is fine. For anything involving LLMs, sensitive data, or high volume, n8n is the right choice.
Can you automate processes that currently require human judgment?
That's our specialty. By connecting LLMs to n8n workflows, we automate processes that require reading unstructured text, making classifications, or extracting data from messy inputs. The key is designing the workflow with a human-in-the-loop for edge cases — the LLM handles 80–95% autonomously, and humans only review the exceptions.
How do you handle errors and edge cases?
Every workflow includes error handling, retry logic, and alerting. When an LLM is uncertain (confidence below threshold), the item routes to a human review queue rather than failing silently. We also build monitoring dashboards so you can see processing rates, error rates, and queue depths in real time.
What does a typical automation engagement look like?
We start with a process audit: mapping your current workflow, identifying bottlenecks, and estimating automation ROI. Then we build iteratively — first workflow live within 2 weeks, refined and expanded over a 4–8 week engagement. Typical investments range from $10K–$40K depending on complexity.
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Book a free 30-minute consultation. We'll discuss your specific needs and outline a clear path forward.
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