Runtime vs Zapier
Runtime is the agent harness for payment teams, with agents that investigate exceptions in your cloud. Zapier is the most widely used no-code automation platform, now with AI agents.
TL;DR: Runtime is the stronger choice for payment and risk work that needs judgment, sensitive data handling, and approvals, run in your own cloud. Zapier is the easiest way to connect thousands of everyday apps with simple trigger-and-action automations.
| Feature |  Runtime |  Zapier |
|---|---|---|
| What it is | Agent harness for payment and risk ops | No-code automation across thousands of apps |
| App connectors | APIs, databases, MCP, browser | Thousands of prebuilt integrations |
| Setup speed | Days with a forward-deployed engineer | Minutes, no-code |
| Reasons through exceptions | Core use case | Fixed triggers and actions, plus AI steps |
| Each agent gets its own computer | Yes: browser, terminal, files | No |
| Runs in your cloud | Yes, or fully self-hosted | Hosted platform |
| PCI and PII handling | Masking, local open models | General |
| Approvals and audit trail | Approvals on money movement, every step stored | Task history |
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.
Zapier is the most widely used no-code automation platform. Anyone can connect thousands of apps with trigger-and-action "Zaps," and it has added AI steps, AI agents, and tables. It's built for speed and breadth across everyday SaaS tools.
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 Zapier makes sense
- You want simple automations between everyday SaaS apps
- Non-technical teams need to set things up in minutes
- The work is a fixed trigger and action
- Sensitive financial data isn't involved
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.