Runtime vs Workato

Workato is the better fit for central IT connecting hundreds of SaaS apps with governed, deterministic recipes. Runtime is the better fit for payment and risk work that doesn't fit a recipe: investigations, exceptions, and judgment calls, run in your own cloud with approvals before money moves. Runtime is the AI agent harness for payment and fintech teams, and many teams run it alongside Workato.

Workato and Runtime at a glance

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.

Runtime is the AI agent harness for payment and fintech 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 for IT teams connecting the whole enterprise. Runtime is for the payment, risk, and finance teams whose work doesn't fit a recipe.

How they differ

Recipes versus investigations

A recipe is excellent when you know every step in advance. Payment exceptions rarely work that way: an ACH return with an odd code, a payout held by the processor, a settlement that doesn't match the ledger. Runtime agents reason through the case across systems, gather the evidence, and propose the fix, so the analyst reviews a finished investigation instead of starting one.

Agents that write their own deterministic code

Runtime doesn't ask you to choose between agents and determinism. When a process is solved, the agent can turn it into a script that runs deterministically as a template, reviewed and stored in your repos. Engineers own that code when it becomes mission-critical, and the agent stays on the exceptions the script can't handle.

Portals with no API

Much of payments still runs through sponsor bank portals, processor dashboards, and network sites with no usable API. Each Runtime agent has its own computer with a browser and terminal, so it can log in, pull a report, and read a file the way an analyst does. A recipe needs a connector or API for each system it touches.

Built around money movement

Runtime agents start read-only and ask for approval before releasing a payout, applying a reserve, or booking a ledger entry. Card numbers and SSNs are stripped from prompts and logs, and every run is recorded end to end, ready for a sponsor bank or examiner. A forward-deployed engineer with a payments background builds the first agents with your team.

Where Runtime enters the picture

Runtime is the AI agent harness for payment and fintech teams. Workato covers the integrations you can define in advance and leaves the cases you can't. For those, payment companies either build an agent platform themselves (isolated computers, scoped credentials, RBAC, approvals, an audit trail, model routing with fallbacks, often two quarters of engineering) or use a harness built for operations.

Take a partner-bank RFI on a flagged transaction. The evidence sits in the processor, the KYC system, the case notes, and a sponsor bank portal with no API. On Runtime a compliance agent logs into the portal with its own browser, gathers the rest through APIs, drafts the response, and waits for an approver before anything goes to the bank. The record of that run stays with you.

• No single vendor to depend on. Agent computers run in your AWS, GCP, or Azure account or fully self-hosted, on your own sandbox provider with fallbacks. Models route across Claude, GPT, Gemini, and open-weight models, and harnesses across Claude Code, Codex, and OpenCode, so one provider's outage, price change, or model deprecation doesn't stop your agents.
• Guardrails you set. Read-only by default, approvals before money moves, RBAC, masked credentials, PII and PCI stripping, and every run recorded end to end.
• Built for teams. Support, payment ops, finance, risk, and compliance share agents, templates, and one memory, so a stuck payment is one investigation with one record.
• An engineer, not an account executive. A forward-deployed AI engineer who built payment systems at Hulu's payments team at Disney, Finix, Modern Treasury, or BlackRock maps your processes and builds the first agents with your team.

Describe the jobConnect your tools, even legacy onesKeep a human in the loopNo single vendor to depend onOne memory across teamsEvery run is stored

[::]New agent

Create a banking ops agent that handles RFIs, hold-harmless requests, and returns of funds from our partner bank, verifies against our ledger, and drafts replies for my approval.

Describe the agent you want

Agent ready

bank-ops-agent

Tools picked from your prompt

EmailLedgerSFTPMastercard

Where Workato is stronger

• Connector breadth. Thousands of prebuilt connectors and years of enterprise integration experience.
• Governed, deterministic integrations. Recipes are the core product, with mature controls for IT.
• Analyst recognition. A Gartner Magic Quadrant Leader for iPaaS for eight years running.
• Company-wide scope. Built for central IT to automate across every department, not just finance and payments.

Which should you choose

Choose Workato if

• 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

Choose Runtime if

• Your payment, risk, or finance queues are full of exceptions that need judgment
• Agents need to reach portals with no API, inside your own cloud
• You need approvals on money movement and a record your sponsor bank will accept
• You want solved processes turned into code your engineers own

Running both is common: Workato moves data between systems, Runtime agents work the cases that need a decision.

Frequently asked questions

Is Workato good for fintech operations?

Workato is a strong choice for governed, deterministic integrations across many enterprise apps, owned by IT. Fintech operations work like held payouts, returns, disputes, and recon breaks is mostly exceptions that need judgment, which is what Runtime agents are built for.

What is the difference between Workato recipes and Runtime agents?

A Workato recipe runs a defined sequence of steps. A Runtime agent investigates a case on its own computer, across your ledger, processor, bank files, and tickets, and stops for approval before money moves. Once a case type is solved, the agent can write it as a deterministic script that lives in your repo.

Can Workato run in my own cloud?

Workato is a hosted platform, with on-prem agents for connecting to systems inside your network. Runtime runs the agent computers themselves in your AWS, GCP, or Azure account, or fully self-hosted.

What is the best Workato alternative for payment teams?

If you need thousands of app connectors and IT-owned recipes, Workato is hard to replace. If your payment, risk, and finance teams need agents that work exceptions with approvals and an exportable audit trail, Runtime is built for that, and many teams run it alongside an iPaaS.

Where does Runtime fit next to Workato?

Workato moves data between systems with recipes. Runtime agents work the payment cases that need a decision, like held payouts, ACH returns, and recon breaks, across your ledger, processor, and bank portals, with approvals before money moves and every run recorded. Workato handles integration and Runtime handles the investigation.