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Salesforce Agentforce

by Salesforce

Salesforce's platform for prebuilt and custom AI agents across CRM

Product with AI agentsSupervised

Last reviewed 2026-06-18

Agentforce is Salesforce's platform for building and deploying AI agents that take action across business functions, layered on the Salesforce Platform and grounded in CRM and enterprise data. It ships out-of-the-box agents (such as a Service Agent and sales agents) and a low-code/pro-code Agent Builder to customize or build new agents. Each agent is defined by role, data, actions, guardrails, and channel. Salesforce positions Agentforce beyond chatbots and copilots: agents can reason, decide, and act to resolve cases and qualify leads, and can be triggered proactively by CRM data changes or business events. The reasoning layer is the Atlas Reasoning Engine, which performs inference-time reasoning and agentic retrieval and surfaces its reasoning so admins can review decisions. In practice Agentforce is supervised: admins scope what agents can do via guardrails, topics, and actions, while agents autonomously resolve well-scoped tasks.

What it can do

  • Deploy prebuilt out-of-the-box agents

    Supervised

    Ready agents for service and sales handle support and sales tasks with pre-built topics and actions, deployable with low setup.

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  • Build and customize agents with Agent Builder

    Supervised

    Low-code and pro-code tooling to define an agent's role, data grounding, actions, guardrails, and channel.

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  • Reason and act with the Atlas Reasoning Engine

    Supervised

    Inference-time reasoning plus agentic retrieval to plan and execute multi-step actions while exposing its reasoning for admin review.

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  • Trigger agents proactively on events

    Supervised

    Agents can be invoked by CRM data operations or business rules, such as a case status change or an inbound email.

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Strengths

  • +Deep, native grounding in Salesforce CRM and Data Cloud data, immediately useful for existing Salesforce shops
  • +Strong governance: guardrails, audit, and Atlas exposing its reasoning for admin review
  • +Prebuilt agents plus a low-code Agent Builder lower build effort versus DIY frameworks

Limitations

  • Consumption pricing (per-conversation or Flex Credits) can get expensive and hard to forecast at scale
  • Real value is largely locked to the Salesforce ecosystem; not a fit if you are not on Salesforce
  • Many headline outcomes are vendor-reported pilots; production results vary and require careful scoping

Overview

Agentforce is Salesforce's platform for prebuilt and custom AI agents that act across CRM and business functions, grounded in Salesforce data. It is aimed at existing Salesforce enterprise and mid-market customers.

What it does

It ships out-of-the-box service and sales agents and a low-code/pro-code Agent Builder. Agents are scoped by role, data, actions, guardrails, and channel. The Atlas Reasoning Engine plans and executes multi-step actions and exposes its reasoning for admin review, and agents can be triggered proactively by CRM events. Admins supervise; agents resolve well-scoped tasks autonomously.

Integrations & setup

Native across Service Cloud, Sales Cloud, Data Cloud, Slack, MuleSoft, and Tableau, with external systems via MuleSoft and APIs. Salesforce co-developed the A2A protocol and Agentforce supports A2A and MCP for cross-ecosystem and tool integration.

Pricing

Consumption-based: about $2 per conversation, or a Flex Credits model charged per action, with one model per org.

Best for / not for

Best for organizations already on Salesforce that want governed agents grounded in their CRM data. Not a fit for teams outside the Salesforce ecosystem.

Alternatives

Decagon, Sierra, and Intercom Fin compete in autonomous customer support.

What people are saying

We aggregate real LinkedIn discussion into sentiment for the agents people search most. Salesforce Agentforce isn't tracked yet, want it added? Request tracking.

FAQ

Is Agentforce just a chatbot?+

No. Salesforce positions it as agents that reason and take action (resolve cases, qualify leads), built on the Atlas Reasoning Engine, not just a scripted chatbot. In practice admins scope and supervise what agents can do.

How is Agentforce priced?+

Consumption-based: roughly $2 per conversation (a 24-hour agent session), or via Flex Credits charged per action. You pick one model per org.

Sources

Last reviewed 2026-06-18

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