From Berlin Side Project to $5.2B Valuation: How n8n Became SAP's Orchestration Layer
In 2019, Jan Oberhauser began building n8n as a personal side project in Berlin, frustrated by the high costs and closed nature of existing workflow automation tools. Seven years later, that side project has become a cornerstone of SAP’s AI strategy: SAP has integrated n8n into Joule Studio, the agent-building environment at the heart of the Autonomous Enterprise platform, and the company is now valued at $5.2 billion. This Q&A explores the journey, the technology, and what this means for the future of enterprise automation.
What is n8n and what problem did it originally solve?
n8n is an open-source workflow automation platform that lets users connect different apps and services without writing complex code. Jan Oberhauser created it in 2019 as a side project after growing tired of expensive, closed-source tools that locked him into proprietary ecosystems. The core idea was simple: give developers and teams a fair-code solution that is transparent, extensible, and affordable. Unlike traditional automation platforms, n8n allows users to see and modify the underlying workflow logic, making it ideal for custom integrations. It quickly gained traction among IT professionals who needed to automate repetitive tasks across CRM, ERP, marketing, and developer tools. By 2024, n8n had grown into a robust platform with hundreds of pre-built nodes and a thriving community, but its biggest milestone was yet to come.
How did SAP get involved with n8n and what role does it play in Joule Studio?
SAP, the German enterprise software giant, was looking for an orchestration layer to power its new AI platform, particularly Joule Studio—an environment where businesses can build AI agents that automate complex processes. After evaluating several options, SAP chose n8n because of its open architecture and fair-code licensing. In Joule Studio, n8n acts as the 'brains' behind agent workflows, handling the sequencing of tasks, data transformation, and integrations across SAP systems and third-party apps. This means that when a user creates an AI agent in Joule Studio, n8n orchestrates the underlying steps: pulling customer data from SAP S/4HANA, sending a notification via Slack, updating a CRM record, and so on. The integration was announced as part of SAP’s Autonomous Enterprise vision, where AI agents run business processes end-to-end with minimal human intervention.
Why did SAP choose an open-source platform like n8n over proprietary options?
Two major factors drove SAP’s decision: flexibility and trust. Proprietary automation tools often lock customers into rigid workflows and expensive licensing, which contradicts SAP’s desire to offer a customizable AI environment. n8n’s fair-code model gives users full access to the source code, allowing them to adapt workflows, add custom nodes, and audit the automation logic—a critical requirement for enterprises that must comply with data privacy and security regulations. Additionally, n8n’s open nature encourages a community of contributors who build connectors and share best practices, accelerating innovation. By embedding n8n into Joule Studio, SAP can offer a more transparent, extensible platform that developers trust, while still maintaining control over enterprise-grade security and scalability. This partnership also validates the growing trend of large enterprises embracing open-source solutions for core infrastructure.
What does the $5.2 billion valuation signify for n8n and the broader automation market?
The $5.2 billion valuation—a massive leap from n8n’s previous funding round—signals that enterprise AI platforms increasingly need a powerful orchestration layer to connect disparate tools. For n8n, it validates the side project turned startup’s product-market fit and its ability to scale. For the automation market, it shows that open-source, fair-code solutions can compete with—and even replace—traditional enterprise middleware. The valuation also reflects SAP’s strategic bet that n8n will become the standard workflow engine for its entire ecosystem. Industry analysts see this as a sign that automation is moving from simple task scheduling to intelligent, autonomous process management. As more companies adopt AI agents, the demand for transparent, human-readable orchestration tools will likely grow, positioning n8n to become a critical infrastructure piece in the emerging AI stack.
What changes can n8n users expect now that SAP is involved?
For existing n8n users—many of whom are developers and small businesses—the SAP partnership brings both opportunities and concerns. On the plus side, n8n will likely invest more heavily in enterprise features: better monitoring, role-based access control, advanced error handling, and deeper integrations with SAP’s suite (S/4HANA, SuccessFactors, Ariba, etc.). The valuation also means more resources for the community, such as improved documentation and more pre-built nodes. However, some users worry that SAP’s influence might shift n8n’s focus away from the open-source ethos or introduce pricing changes. So far, n8n has stated that the fair-code core remains free and open, with paid tiers for enterprise features. The challenge will be balancing the needs of large corporate clients with the grassroots community that built n8n’s reputation. Users should monitor n8n’s blog and GitHub for updates on licensing and feature roadmaps.
How does this partnership impact the future of enterprise AI and automation?
The n8n-SAP integration is a clear signal that the next wave of enterprise AI requires a robust orchestration layer—something beyond simple API calls or scripted sequences. By embedding n8n into Joule Studio, SAP is effectively saying that AI agents cannot operate in isolation; they need to coordinate across databases, cloud services, legacy systems, and human-approval steps. This model—an orchestration engine at the center, powered by AI and open-source transparency—could become the blueprint for other platform vendors. It also highlights the shift from 'no-code' to 'fair-code,' where transparency and flexibility are valued over pure ease-of-use. For businesses, this means they can build complex, compliant, and auditable AI workflows without being locked into a single vendor. The future likely holds more partnerships where open-source automation tools become the connective tissue for AI ecosystems.