n8n is a workflow tool. SARAH Automation is a workflow tool shipped inside a sovereign AI suite that also picks up the phone, runs the agents, and replaces the rest of the stack.

If you bought n8n, you bought a node-graph editor. If you buy SARAH AI Suite, the node-graph editor arrives pre-wired to 462 enterprise connectors generating 1,111 callable workflow nodes, plus 7 built-in primitives — HTTP Request, Webhook Trigger, Code (JavaScript), Code (Python), Loop, Switch, Merge — plus the voice receptionist, the predictive dialer, 29 native business modules, sovereign LLM inference, and a single billing line.

1,111

connector-derived nodes

462

enterprise connectors wrapped

built-in workflow primitives

native dispatcher modules

What n8n sells today

n8n is a fair-code workflow automation tool. You self-host, you configure, you build integrations one by one, and you operate the result yourself. It's a fine tool for the workflow surface — and that's all it is.

Workflow canvas with trigger / action / condition nodes.
~400 pre-built integration nodes you install and credential one by one.
Code nodes (JavaScript via vm, Python via Pyodide).
Webhook triggers you wire to external services per workflow.
Self-hosted on your own VM or container, on a database you also operate.
No voice plane, no predictive dialer, no AI receptionist, no native CRM, no native invoicing — those are problems you solve separately.

Architecture, sovereignty and commercial structure

Dimension	n8n	SARAH Automation
Where it runs	Your VM or container, on infrastructure you provision and operate	Inside SARAH AI Suite — already running on the host that owns the rest of your operations
Pre-wired integrations	~400 nodes you install + credential one by one	1,111 connector-derived nodes generated from 462 manifested connectors in one batch
Built-in primitives	Trigger · action · condition · code · webhook	Trigger · action · condition · delay · end · HTTP Request · Webhook Trigger · Code (JS) · Code (Python) · Loop · Switch · Merge
Code execution	JS via vm module; Python via Pyodide (WASM)	JS via QuickJS sandbox; Python via isolated subprocess with RLIMIT caps · same n8n shape, more honest about the sandbox boundary
Webhook trigger	Per-workflow URL on your domain	Per-workflow URL at the SARAH endpoint · HMAC-SHA256 payload verification on every fire · audit table records every attempt
Voice / telephony	Not in product — integrate Twilio yourself	SIP + WebRTC + predictive dialer + AI receptionist all share the workflow engine
LLM execution	Bring your own OpenAI / Anthropic / etc keys	Sovereign GPU inference on your appliance — no token bills, no cloud LLM dependency
What you pay	n8n self-hosted is free until features unlock paid; n8n Cloud per-execution metering on top	One subscription line — the entire SARAH AI Suite including the workflow surface, the voice plane, 29 business modules, the connector library
Operating posture	You own + maintain the workflow tool	We own + maintain the suite · you own the business outcomes it produces

What the buyer actually deploys

n8n stack

One VM running n8n + a Postgres for its workflow state
Whatever cloud LLM you wire it to (token bill is your problem)
A separate CRM, separate ticketing, separate invoicing, separate telephony, separate dialer, separate calendar, separate dashboards — each with its own bill, login and data store
Your ops team keeps n8n upgraded, secured and online

SARAH stack

One appliance (DGX Spark 2 or Dual DGX B300 Servers (full 16-bit precision, no quantization — GLM-5.2 flagship) Hyperscale) on the SARAH fabric
Workflow + voice + reasoning + connector library + 29 native modules already wired
Sovereign LLM inference on the appliance itself
One subscription · one operator · one audit trail · one back-up surface

An LLM answers. An operator acts.

n8n waits for you to draw the workflow, install the right nodes, find the right credentials, and click run. SARAH receives intent — by voice, by webhook, by SMS, by chat, by scheduled trigger — and composes the workflow herself across 1,111 connector nodes, 7 built-in primitives, sovereign LLM reasoning, and the rest of the business modules that live inside the same suite. The node graph is no longer the user surface. The conversation is.

One subscription line replaces the workflow tool — and the other thirty

Customers who run n8n almost always run thirty other things alongside it. SARAH AI Suite replaces those thirty too: Salesforce · HubSpot · Marketo · Mailchimp · Calendly · QuickBooks · Zendesk · Intercom · Gusto · BambooHR · Hootsuite · Notion · Asana · Slack · Tableau · Google Analytics · Acuity · Buffer · Xero · Freshdesk — and roughly 34.7M more catalogued at scale-growth.ai/1000apps-vs-sarah-ai-suite/.

Honest framing

n8n is open-source-ish and free at small scale. SARAH is a commercial suite with a subscription. Pricing trade.
n8n is best in class as a node-graph editor in isolation. SARAH Automation is best in class as a workflow surface integrated with everything else a business runs.
If a customer only needs a node-graph editor and nothing else, n8n is the right answer. If they need the workflow surface plus voice plus connectors plus the rest of the stack on one bill on sovereign hardware, SARAH is the right answer.
The 1,111 nodes and 7 primitives quoted above are live in production today — counted against the database, not the roadmap.

Run the side-by-side with Mike

Twenty minutes. Mike Farrell (Scale Growth Advisors LLC, GTM partner for SARAH AI Suite) will compare your current n8n footprint against what SARAH Automation ships out of the box. No deck. Walk through the live system.

Schedule a 20-minute review