Malleable vs. Workato

Workato connects your core systems with recipes a builder draws. Malleable runs the operation around those systems, including the people in it. The team that runs it sets the steps.

In common: Both connect your systems and mix AI with fixed steps.

The main difference

What happens when a case doesn't fit the recipe?

Workato

A builder draws the recipe. A step can hand a task to an AI genie, then the recipe branches on its answer.

Malleable

The AI works out what the case needs, at the steps where your team allows it. If something is missing, it looks it up or asks the right person. The fixed steps still run the same way every time.

Side by side

How they compare

Each row is something you can check in a demo, or in the other tool's docs.

Fixed steps and AI judgment
Workato
Recipes a builder draws. An AI genie can do a task, then the recipe decides what happens next.
Malleable
An AI agent runs the whole operation and works out cases nobody planned for. Your team locks the steps that must run the same way every time.
People outside your company
Workato
Anyone answering partway through needs a Workato login.
Malleable
Anyone can answer from a secure link, with no account.
Changing it
Workato
A builder edits the recipe, then tests and deploys it.
Malleable
Your team says what changed, in plain English. No builder needed.

Already using Workato?

Keep the recipes that work. A Malleable operation can start a recipe with a web request, and a recipe can start an operation the same way. No special connector needed.

When to choose Malleable

  • The work crosses teams and waits on people, inside or outside your company.
  • The same work comes up again and again, and parts of it need judgment.
  • The people who run it need to change it themselves.
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