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Malleable compared with ServiceNow

Malleable vs. ServiceNow: agentic workflows and domain-expert ownership

ServiceNow and Malleable both coordinate multiple agents, deterministic workflows, enterprise data, governed actions, and human participation. ServiceNow provides a broad platform where specialists compose agentic workflows, playbooks, and platform records. Malleable gives domain experts one operation they can understand and change directly.

Shared foundation

What Malleable and ServiceNow have in common.

Agentic workflows

Both organize multiple AI capabilities around a business goal instead of treating every agent interaction as an isolated task.

AI and deterministic execution

Both combine adaptive agent work with structured workflows, policies, records, and predictable actions.

Multiple agents

Both can coordinate specialized agents, pass context between them, and keep complex work moving toward one outcome.

Human participation

Both can let AI complete work autonomously or prepare it for a person to review, edit, approve, and continue.

The main difference

Who can understand and change the complete operation?

ServiceNow

ServiceNow composes the solution across AI Agent Studio agentic workflows, agents and skills, Workflow Studio flows or playbooks, platform records, and security controls. Platform authors maintain those connected assets.

Malleable

Domain experts describe the end-to-end operation and its rationale in plain English. Malleable keeps agents, systems, roles, handoffs, and run history in one inspectable operating model.

Side by side

What follows from that difference.

System boundary
ServiceNow
The operation spans agentic workflows, flows, playbooks, records, and approvals
Malleable
One operation spans agents, systems, and people from intake to outcome
Authorship
ServiceNow
Several platform specialists maintain the agents, skills, workflows, roles, and controls
Malleable
Experts shape one operation without dividing authorship among platform roles
Run consistency
ServiceNow
Agent Orchestrator plans AI work while separate flows enforce predictable work
Malleable
One visible structure combines predictable work with bounded judgment
Human coordination
ServiceNow
Authors encode assignments, reviews, and approvals in playbook and workflow activities
Malleable
Handoffs define each person's responsibility, authority, and context
Change burden
ServiceNow
A change can span agents, skills, playbooks, flows, records, and security
Malleable
One reviewed update carries the change across the operation
Audit context
ServiceNow
Platform records show execution across assets, while rationale remains separate
Malleable
One record connects rationale across agents, workflows, and people