Make vs n8n
Make vs n8n for finance automation: compare cloud-only visual workflow platform vs self-hostable developer-focused automation. Which is better for your finance team — non-technical power or technical flexibility?
Quick Answer
Make and n8n are both more powerful than Zapier for complex finance workflows — but they serve different teams. Make is cloud-only, visual, and accessible to non-technical finance teams with 1,800+ native integrations and no server management. n8n is self-hostable, developer-focused, and free when self-hosted — making it 100% cheaper for technical teams willing to manage their own infrastructure. Both are EU-based which matters for European finance teams. For non-technical finance teams who want power without complexity — Make. For technical teams who want maximum flexibility and zero platform cost — n8n.
Make
Make is a visual workflow automation platform with 1,800+ integrations and operations-based pricing. EU-headquartered and GDPR-native — the strongest choice for European finance teams automating workflows without code.
Pricing
$0/mo(Core: $9/mo, Pro: $16/mo, Teams: $29/mo, Enterprise: $0/mo)
Agent Type
Builder Platform
Key Use Cases
- ✓Visual finance workflow automation — drag-and-drop scenario builder connects accounting tools, banking, and finance SaaS without code
- ✓Invoice processing — receive invoice via email, extract data, route for approval, post to accounting system, notify team
- ✓Bank reconciliation automation — pull transactions from banking APIs, match against accounting records, flag discrepancies
- ✓Financial report distribution — pull data from accounting system on schedule, format with AI, send to stakeholders
- ✓Expense report automation — submitted expense triggers categorization, approval routing, and accounting system entry
- ✓Multi-step finance agent workflows — chain HTTP requests, AI modules, data transformations, and conditional logic for complex automation
Deployment
Cloud
AI Model
Model-agnostic — native OpenAI and Claude modules available. Users pay LLM API costs directly. Make handles the orchestration and data routing layer.
Platforms
Web
Learn more →n8n
Open-source technical workflow automation platform with native AI agent nodes, 500+ integrations, and self-hosted or cloud deployment. Build custom finance AI agents using LangChain, persistent memory, and any LLM — all with execution-based pricing that's 75%+ cheaper than per-task alternatives.
Pricing
$0(Cloud Starter: $20/mo, Cloud Pro: $50/mo, Business (Self-hosted): $667/mo, Enterprise: $0)
Agent Type
Builder Platform
Key Use Cases
- ✓Finance workflow automation — build agents that pull data from accounting systems, process it with AI, and push results to reporting tools
- ✓AI agent nodes — chain LLM calls (Claude, GPT-4o, Gemini) with tool-calling, persistent memory, and decision loops using native AI agent nodes
- ✓Invoice and expense processing — automate invoice receipt, OCR extraction, GL coding, and approval routing without code
- ✓Bank reconciliation automation — connect to banking APIs, match transactions against GL entries, flag discrepancies for human review
- ✓Financial report generation — pull data from QuickBooks/Xero, process with AI, generate formatted reports and send via email or Slack
- ✓Custom finance AI agents — build bespoke agents for any finance workflow using 500+ integrations and native LangChain support
Deployment
Hybrid
AI Model
Model-agnostic — native nodes for Claude (Sonnet 4.6, Opus 4.7), GPT-4o, Gemini, and local models. User pays LLM API costs directly — no markup from n8n.
Platforms
Web, Api
Learn more →Real-World Scenarios
You are a non-technical finance team wanting powerful automation without server management
Your finance team needs to automate workflows but has no DevOps skills or server infrastructure. You want a platform that works out of the box — sign up, build, run.
You have a developer and want zero platform cost with maximum flexibility
Your team has a developer who can set up and maintain infrastructure. You want unlimited executions at zero platform cost and the ability to customize every aspect of the workflow.
You need full data sovereignty — financial data must never leave your infrastructure
Your financial institution has strict data residency requirements. Sensitive financial data cannot be processed on third-party cloud infrastructure under any circumstances.