Runtime vs Workato
Runtime is the agent harness for payment teams, built to investigate exceptions in your own cloud. Workato is an enterprise iPaaS adding AI agents on top of its integrations.
TL;DR: Runtime is the stronger choice for payment and risk work that doesn't fit a recipe: investigations, exceptions, and judgment calls, run in your cloud with approvals. Workato is a leading integration platform for connecting thousands of apps with governed, deterministic recipes.
| Feature |  Runtime |  Workato |
|---|---|---|
| What it is | Agent harness for payment and risk ops | Enterprise iPaaS with AI agents |
| Best at | Investigations and exceptions that need judgment | Deterministic integrations across thousands of apps |
| Runs in your cloud | Agent computers in your AWS, GCP, or Azure | Hosted platform with on-prem agents for connectivity |
| Each agent gets its own computer | Yes: browser, terminal, files | No |
| Legacy portals with no API | Browser automation on the agent's computer | Connector or API required |
| Deterministic steps | Proven runs can be promoted into reviewed scripts in your repo | Recipes, the core product |
| App connectors | APIs, databases, MCP, browser | Thousands of prebuilt connectors |
| Payments domain depth | Processor codes, bank files, network rules | General enterprise |
| Forward-deployed engineers | Included for rollouts | Partners and professional services |
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.
Workato is an enterprise integration platform, named a Leader in the Gartner Magic Quadrant for iPaaS for eight years running. It connects thousands of applications with low-code "recipes," and has added AI agents (Genies), an enterprise MCP platform, and an agent studio on top.
Both are good products. 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 Workato makes sense
- You need to integrate hundreds of SaaS apps with governed, deterministic recipes
- IT owns automation centrally across the whole company
- The process is a known sequence of steps that rarely changes
- You already run Workato and want to add agents to existing recipes
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.