Agentforce is Salesforce's AI agent platform for building and deploying autonomous customer and employee-facing agents on top of your CRM data. Free tier available with 200k Flex Credits. Paid plans from $500 per 100k credits or $2 per conversation.
Agent Builder — no-code interface for defining agent behavior and guardrails
Prompt Builder — design and test agent instructions and context
Customer-facing agents across digital channels
Employee-facing agents for internal CRM and knowledge tasks
Agentforce Voice — voice channel support in US and Canada
Data Cloud integration — agents use unified customer data
Digital Wallet — monitor and manage credit consumption
Flex Credits model — pay per action, not per seat
4.2
★★★★★
Agent Performance Score — based on 28 reviews
Autonomy
4.5
Task Completion
4.2
Integration
4.3
Reliability
4.1
Ease of Use
4.4
Pros & Cons
👍 Strengths
Native Salesforce integration — agents have direct access to CRM data without extra connectors
Free tier with 200k credits is a genuine starting point for evaluation
Pay-per-use pricing scales with actual consumption rather than fixed seats
Agent Builder and Prompt Builder require no coding knowledge
Voice channel support included in paid plans
👎 Limitations
Only valuable for organizations already on Salesforce — limited use outside that ecosystem
Credit-based pricing can be difficult to forecast costs at scale
Voice support currently limited to US and Canada
Conversations plan is pre-purchase only — no post-use billing option
Deep Salesforce dependency creates platform lock-in
📖
About Salesforce Agentforce
Salesforce Agentforce (salesforce.com/agentforce) is Salesforce's platform for building AI agents that operate directly within the Salesforce ecosystem. Unlike standalone AI tools, Agentforce agents have native access to your CRM data, customer records, and Salesforce workflows — enabling agents that can resolve support tickets, qualify leads, onboard customers, and assist employees without switching systems.
Agentforce is built on two core builder tools: Agent Builder for defining agent behavior and Prompt Builder for crafting the instructions and context agents use when responding. Agents can be deployed across digital channels and voice, and the platform uses a flexible credit-based pricing model that scales with actual usage rather than fixed seats.
Key Features
Agent Builder — no-code interface for defining agent goals, actions, guardrails, and escalation paths
Prompt Builder — design and test the prompts and context that drive agent responses
Customer-facing agents — deploy agents on digital channels to handle support, sales, and onboarding interactions
Employee-facing agents — internal agents that assist staff with CRM updates, knowledge retrieval, and task completion
Agentforce Voice — voice channel support for agents available in US and Canada
Data Cloud integration — agents draw on unified customer data from Salesforce Data Cloud for contextual responses
Digital Wallet — manage and monitor credit consumption across agents and use cases
Flex Credits model — pay per action rather than per seat, with buying model flexibility on paid plans
Agentforce Pricing
Salesforce Agentforce: Pricing for AI agent platform
Salesforce Foundations — $0 — Free entry point. Includes Agent Builder, Prompt Builder, 200k Flex Credits, and 250k Data Cloud credits.
Flex Credits — $500 per 100k credits — Pay per action as you scale. Supports customer-facing agents, employee-facing agents, Agentforce Voice, and Digital Wallet.
Conversations — $2 per conversation — Pay per conversation for customer-facing agents. Digital Wallet included. Pre-purchase buying model only.
Who Agentforce Is For
Agentforce is purpose-built for organizations already running on Salesforce. If your customer data, support tickets, leads, and workflows live in Salesforce, Agentforce agents have immediate access to that context without integration work. It is not the right tool for teams without a Salesforce footprint, or for general-purpose automation outside the Salesforce ecosystem.
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