Master Agentforce with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Agentforce powerful for ai agents workflows.
Agentforce is Salesforce's platform for building autonomous AI agents that proactively take actions across business workflows, while Einstein Copilot was a conversational assistant embedded in Salesforce apps. Einstein Copilot has been folded into the broader Agentforce platform, which now encompasses both assistive copilots and fully autonomous agents that can resolve cases, qualify leads, or run commerce tasks end to end.
Agentforce is sold on a consumption model, historically around $2 per conversation, on top of the customer's existing Salesforce licenses and Data Cloud subscription. Pricing varies by edition, agent type (service, sales, voice), and negotiated enterprise agreements, so most deployments require a custom quote from Salesforce.
Yes. Through Model Builder and BYO LLM support, Agentforce can route reasoning to Anthropic Claude, OpenAI GPT, Google Gemini, Amazon Bedrock models, or customer-hosted fine-tuned models, while still applying the Einstein Trust Layer for governance.
No. The Einstein Trust Layer enforces zero data retention with model providers, masks PII before prompts leave the Salesforce environment, and prevents customer data from being used to train third-party foundation models. All interactions are logged for audit within Salesforce.
Common deployments include service agents that resolve customer cases, SDR agents that engage and qualify inbound leads, personal shopper agents for commerce sites, sales coach agents that prep reps for calls, marketing campaign agents, and internal employee agents for HR, IT, and operations questions, all assembled in Agent Builder from topics, instructions, and actions.
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Tutorial updated March 2026