Natural-language building
Both help teams turn a plain-language description into an agentic system that can be inspected and refined.
Agentforce and Malleable both connect governed AI judgment to enterprise data, business actions, deterministic automation, and human handoffs. Agentforce centers the design on agents working through Salesforce topics and actions. Malleable centers it on the complete operation domain experts run.
Both help teams turn a plain-language description into an agentic system that can be inspected and refined.
Both let AI reason over business context and invoke controlled actions, workflows, and integrations.
Both ground work in governed company data and respect configured access boundaries.
Both can recognize when a person should take over and transfer relevant context into that interaction.
An Agentforce agent is defined by global instructions, subagents, topics, actions, variables, data, and channels. Its reasoning engine selects the appropriate topic and actions as an interaction unfolds.
The operation is defined by its outcome, stages, rationale, constraints, roles, handoffs, and history. Agent judgment, system actions, and human participation all live inside it.