Workflow Engine vs. Company OS

Raisy vs n8n: building workflows vs. building the company

n8n is a powerful, self-hostable workflow engine beloved by technical teams — Raisy uses workflow engines like it under the hood. Raisy is the layer above: an AI workforce operating system that builds and manages the processes for you.

By the Raisy Team • Last updated July 28, 2026

Raisy vs n8n at a glance

DimensionRaisyn8n
What it is
Who builds the workflows
Who it's for
Transparency & audit
KPIs & measurement
Memory & learning
Human oversight
Cost model
Setup effort
Best for
Strong / built-inPartial — limited or build it yourselfNot availableHover or tap any icon for details.

The five differences that matter

1. A managed workforce, not a workflow canvas

Raisy

Raisy gives you an org chart for AI: Entities own Processes, Bots execute them, Kernels define what they know — all visual, all managed, all with owners and job descriptions.

n8n

n8n gives you a superb canvas for wiring nodes. But a canvas is not a management layer: there is no org structure, no per-agent accountability, no view of "who does what in my company."

2. Radical transparency: no invisible LLM calls

Raisy

Every LLM call in Raisy is logged with exact kernel versions, full input, output, and tokens — auditable to ISO 9001 standards by design.

n8n

n8n logs executions, but when an AI node produced a bad output, the prompt version, model, and reasoning behind it are not governed — you reconstruct, or you shrug.

3. KPIs that quantify every entity, process, and bot

Raisy

Raisy measures business outcomes per entity, process, and bot with a deterministic evaluator — never letting the LLM grade its own homework — and uses approval rates to graduate bots toward autonomy.

n8n

n8n tells you a workflow ran or failed. Whether the process is actually getting better at its job is a dashboard you would have to build yourself.

4. Self-learning transparency — without forgetting

Raisy

Every rejection patches a kernel into a new immutable version, quality-gated before it ships. One correction improves every bot sharing that capability; history is never overwritten.

n8n

Improving an n8n workflow means editing it — and the old AI behavior is gone the moment you save. No learning loop, no versioned improvement trail.

5. Setup made easy: from one URL to a running workforce

Raisy

Raisy drafts your entity, processes, and bots from your company website. You review and approve — no canvas, no nodes, no credentials plumbing.

n8n

n8n setup is honest engineering work: self-host or sign up, connect every credential, design every workflow. Powerful — if building workflows is how you want to spend your time.

Which one is right for you?

When n8n alone is enough
  • You have technical people who enjoy building and maintaining workflows
  • You need deep, custom integrations with full control over every node
  • You want open-source, self-hosted automation at minimal licensing cost
  • Your use case is deterministic data movement, not AI judgment
When you need Raisy
  • You want business outcomes (pipeline, hires, investor meetings), not a workflow-building hobby
  • You need KPIs, approval gates, and audit trails for AI decisions
  • You want the system to improve from every correction without losing history
  • You want setup to start from your company URL, not from a blank canvas
  • You'd rather manage an AI workforce than maintain automation infrastructure

Frequently asked questions

See what a managed AI workforce looks like

Paste your company URL. Raisy builds the processes — you keep the oversight.