Enterprise AI agent platform built natively on Salesforce that deploys autonomous agents for service, sales, marketing, and commerce using the Atlas Reasoning Engine and CRM data grounding.
Enterprise AI agent platform built natively on Salesforce that deploys autonomous agents for service, sales, marketing, and commerce using the Atlas Reasoning Engine and CRM data grounding.
Salesforce Agentforce is an enterprise-grade AI agent platform that enables organizations to build, deploy, and manage autonomous AI agents directly within the Salesforce ecosystem. Launched in general availability in late 2024 and significantly expanded through 2025 and into 2026, Agentforce represents Salesforce's strategic evolution beyond simple chatbots and copilots into fully autonomous AI agents capable of handling complex, multi-step business processes.
At the core of Agentforce is the Atlas Reasoning Engine, Salesforce's proprietary AI orchestration layer that combines large language models with retrieval-augmented generation (RAG), real-time CRM data grounding via Data Cloud, and configurable guardrails. This architecture allows agents to reason over structured and unstructured enterprise data, plan multi-step actions, and execute workflows while staying within defined business rules and escalation policies.
Agentforce ships with prebuilt agent types covering common enterprise scenarios: Service Agent for customer support deflection, SDR Agent for sales lead qualification and outbound engagement, Sales Coach for rep training and deal guidance, Commerce Agent for personalized shopping assistance, and Marketing Agent for campaign optimization. Organizations can also build fully custom agents using the low-code Agent Builder, which allows admins to define agent topics, instructions, actions, and guardrails without writing Apex code.
The platform supports multi-agent orchestration as of the 2.0 release, enabling multiple specialized agents to collaborate on complex workflows — for example, a service agent escalating a billing dispute to a finance agent while simultaneously notifying a retention agent. Agentforce also supports deployment across web chat, Slack, SMS, WhatsApp, Apple Messages for Business, and voice channels via Agentforce Voice.
Pricing follows a consumption-based model starting at $2 per conversation, which avoids traditional per-seat licensing but introduces cost variability at scale. Salesforce reports that internal deployments have achieved resolution rates exceeding 80% for routine support inquiries, though real-world performance varies significantly based on data quality and configuration effort. For organizations already invested in the Salesforce platform, Agentforce provides a deeply integrated path to AI agent automation, but its tight platform coupling means it is not suitable for companies seeking vendor-neutral or multi-cloud agent solutions.
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Salesforce's proprietary AI orchestration layer that powers all Agentforce agents. It combines large language model capabilities with retrieval-augmented generation, real-time data grounding via Data Cloud, and multi-step planning to enable agents to reason over enterprise data, formulate action plans, and execute workflows autonomously while respecting configured guardrails.
A low-code configuration tool that allows Salesforce admins to create and customize AI agents without writing code. Users define agent topics (what the agent can discuss), instructions (how it should respond), actions (what operations it can perform), and guardrails (boundaries and escalation rules). It supports both prebuilt templates and fully custom agent definitions.
Introduced in Agentforce 2.0, this capability enables multiple specialized agents to collaborate on complex workflows. A primary agent can delegate subtasks to other agents, share context across agent boundaries, and coordinate multi-department processes — for example, a service agent routing a billing dispute to a finance agent while notifying a retention agent.
Enables AI agents to handle phone-based interactions with natural voice capabilities. Agents can understand spoken language, respond conversationally, and perform the same actions available in text-based channels. Voice agents support real-time transcription, sentiment detection, and seamless handoff to human agents when needed.
A monitoring and analytics dashboard that provides visibility into agent performance, conversation outcomes, resolution rates, escalation patterns, and cost metrics. It enables teams to identify underperforming agents, optimize topic configurations, and track ROI across deployed agent types.
$2/conversation
Custom pricing (volume-negotiated)
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In 2025–2026, Salesforce has significantly expanded Agentforce with several major updates. Agentforce 2.0, released in early 2025, introduced multi-agent orchestration, allowing multiple specialized agents to collaborate on complex cross-departmental workflows. Agentforce Voice launched to support phone-based AI interactions with natural language understanding and real-time transcription. The Agentforce Observability suite was added for performance monitoring and analytics. Salesforce also expanded channel support to include WhatsApp, Apple Messages for Business, and SMS alongside existing web chat and Slack deployments. Additional prebuilt agent types for marketing and commerce were introduced, and MuleSoft integration was deepened for broader external system connectivity.
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