Google Gemini Enterprise
An agent step returns an answer, but it can't choose the path or ask anyone. The conditions the builder drew decide what happens next.
Malleable vs. Google Gemini Enterprise
Gemini Enterprise builds chat agents, and workflows that mix fixed steps with Gemini agent steps. In Malleable, one agent runs each case from start to finish, including steps that wait on people outside your company.
In common: Both build from a description and show the steps visually.
The main difference
What happens when a case doesn't fit the workflow?
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.
Google Gemini Enterprise
Malleable
Fixed steps and AI judgment
Google Gemini Enterprise
A workflow a builder draws. Gemini agent steps do their part, then the drawn paths decide 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
Google Gemini Enterprise
Workflows are shared only inside your organization.Malleable
Anyone can answer from a secure link, with no account.Bringing in a person
Google Gemini Enterprise
A builder places each approval step in the editor.Malleable
Malleable sends them a short form with the context, then waits for their answer.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.