Runtime vs n8n
Runtime is the agent harness for payment teams, with approvals, audit, and payments expertise built in. n8n is a source-available workflow automation tool that teams can self-host.
TL;DR: Runtime is the stronger choice when payment and risk teams, not just engineers, need agents that investigate exceptions with approvals and an audit trail out of the box. n8n is a strong, self-hostable workflow tool for technical teams that want to build automations themselves.
| Feature |  Runtime |  n8n |
|---|---|---|
| What it is | Agent harness for payment and risk ops | Self-hostable workflow automation |
| Self-hosting | Your cloud or fully self-hosted | Self-hosted or cloud |
| Who builds | Ops teams in plain English, engineering controls | Mostly technical users on a canvas |
| Custom code in workflows | Agents write and run code on their own computer | Code nodes |
| Approvals on money movement | Built in, from Slack, Teams, or the dashboard | Build it yourself |
| Audit trail for examiners | Every query, tool call, approval, and cost | Execution logs |
| Evals and model routing | Built in | Build it yourself |
| Forward-deployed engineers | Included for rollouts | Community and enterprise support |
Two different jobs
Runtime is the AI agent harness for payment teams. From payment ops to risk, compliance, and support, anyone on the team can build agents that work their queues on their own computers inside your cloud, called from Slack, Teams, email, SMS, or voice, with approvals and a full audit trail.
n8n is a source-available workflow automation platform popular with technical teams. You build workflows on a node canvas, add AI agent nodes and custom code, and can self-host it for full control over data.
The right one depends on the work you're trying to hand off.
Why payment teams choose Runtime
Built for money movement
Payment work is mostly exceptions: a held payout, an ACH return with an odd code, a dispute where the evidence contradicts the claim. Runtime agents reason through those cases on their own computers, across your ledger, processor, bank files, and tickets, and stop for a person before anything moves money.
Your data stays yours
Agent computers run in your AWS, GCP, or Azure account, or you self-host the whole platform. Card numbers, SSNs, and secrets are masked before any prompt or log, and you can serve open-weight models locally for PCI and PII work.
One harness for every team
Support, payment ops, finance, risk, and compliance all build on the same harness, so one stuck payment is one investigation, not four. Every run is stored with its evidence, approvals, and cost, ready when an auditor or sponsor bank asks.
An engineer, not an account executive
A forward-deployed AI engineer who has built payment infrastructure maps your processes, builds the first agents with your team, and sets up guardrails.
When n8n makes sense
- Your engineers want to build and maintain workflows themselves
- You want a self-hosted automation tool at low cost
- Workflows mix APIs, code, and AI steps
- You have time to build approvals and audit on top
When Runtime makes sense
- You run payments, banking, or lending operations and the queue keeps growing
- The work needs judgment on exceptions, not just a fixed sequence of steps
- Card data or PII has to stay in your environment
- You need approvals on money movement and an audit trail your sponsor bank will accept
- You want one platform for every team that touches a transaction
See Runtime on your busiest queue
Bring one SOP. A forward-deployed AI engineer builds the first agent with your team, inside your cloud.