Malleable compared with Google Gemini Enterprise

Malleable vs. Google Gemini Enterprise: multi-step agents and owned operations

Gemini Enterprise and Malleable both let teams create agents in natural language, connect them to company data and tools, and run recurring multi-step work. Gemini Enterprise organizes the reusable system around a main agent and its subagents. Malleable organizes it around the operation itself.

Shared foundation

What Malleable and Google Gemini Enterprise have in common.

Conversational creation

Both let people start by describing the desired work in natural language and refine the result interactively.

Visible multi-step structure

Both expose a visual representation for work that requires more than a single agent response.

Connected company context

Both ground execution in enterprise data and tools across Google and third-party systems.

Recurring execution

Both can launch reusable work on demand and schedule it to run repeatedly.

The main difference

Is the durable system an agent hierarchy or an operation?

Google Gemini Enterprise

Agent Designer creates a main agent with instructions, a model, data, tools, and optional subagents. Its flow defines how those agents collaborate to complete a task.

Malleable

The workflow defines the business operation: its outcome, stages, constraints, rationale, roles, handoffs, and history. Agents are participants within that model.

Side by side

What follows from that difference.

Google Gemini Enterprise

Malleable

System boundary

Google Gemini Enterprise

The reusable system ends at a main agent and its subagents

Malleable

The reusable system spans the complete multi-person operation

Authorship

Google Gemini Enterprise

A creator must translate the process into agent hierarchy and flow logic

Malleable

Experts describe the business operation without designing a subagent hierarchy

Run consistency

Google Gemini Enterprise

The main agent coordinates instructed subagents anew for each task

Malleable

Visible stages repeat while bounded judgment handles genuine variation

Cross-team coordination

Google Gemini Enterprise

Role coordination must be designed in the systems surrounding the agent

Malleable

Roles, decisions, and handoffs are native parts of the operation

Change burden

Google Gemini Enterprise

A change can require edits to the main agent, subagents, data, tools, and flow

Malleable

One reviewed revision updates the operation across agents and tools

Operating continuity

Google Gemini Enterprise

Shared agents deliver tasks, while the surrounding operation remains in other systems

Malleable

One operating model carries work across every participant and system