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Malleable compared with enterprise agent platforms

Repeatable operations your domain experts can understand and change.

Malleable and enterprise agent platforms both bring governed AI into business systems and recurring work. The difference is whether the durable system is organized around an agent or around the multi-person operation the business needs to run.

Shared foundation

What Malleable and enterprise agent platforms have in common.

Enterprise governance

Both can manage access, constrain actions, and give administrators visibility into AI at work.

Connected business systems

Both can ground AI in company context and take action through the applications where work already happens.

Repeatable execution

Both can turn recurring responsibilities into systems that run on demand, on a schedule, or in response to events.

Human oversight

Both can involve people when work needs review, approval, guidance, or an accountable decision.

The main difference

Is the agent the unit of deployment, or is the operation?

Enterprise agent platforms

The reusable system centers on an agent or copilot: its instructions, knowledge, tools, permissions, triggers, and governance. People invoke it, supervise it, receive its work, or approve consequential actions.

Malleable

The reusable system centers on the operation: its outcome, stages, rationale, roles, handoffs, decisions, and history. Agents, systems, and multiple people participate inside that shared structure.

Side by side

What follows from that difference.

Unit of control
Enterprise agent platforms
Governance centers on each agent, its tools, actions, and access
Malleable
Governance centers on the complete operation and every participant in it
Authorship
Enterprise agent platforms
Platform specialists translate the process into agent and orchestration assets
Malleable
Domain experts define and inspect the operation directly
Cross-team coordination
Enterprise agent platforms
Role coordination must be assembled around agents through channels and workflow logic
Malleable
Roles, responsibilities, and handoffs are native parts of the operation
Human role
Enterprise agent platforms
People mostly prompt, supervise, receive output, or approve agent actions
Malleable
People enter wherever their expertise, authority, or relationship matters
Run consistency
Enterprise agent platforms
Instructions and surrounding orchestration can divide one process across several assets
Malleable
One visible structure repeats while bounded judgment handles variation
Change burden
Enterprise agent platforms
A process change can require edits across agents, tools, permissions, and orchestration
Malleable
The expert describes the change and reviews its end-to-end effect
Audit context
Enterprise agent platforms
Agent logs show AI use, while the full operating rationale remains separate
Malleable
Rationale, runs, AI actions, and human decisions remain connected
Tool-by-tool

Compare Malleable with enterprise agent platforms

Each page uses the vendor's current product materials and identifies where that tool or Malleable fits the work.

Microsoft Copilot Studio

Enterprise copilots, agents, actions, and orchestration

Read comparison

Google Gemini Enterprise

Governed enterprise agents grounded in company data

Read comparison

OpenAI Workspace Agents

Shared agents, connected apps, and governed actions

Read comparison

Salesforce Agentforce

Enterprise agents across Salesforce customer workflows

Read comparison

ServiceNow

AI agents and orchestration across enterprise workflows

Read comparison