Agentforce Pricing & Plans 2026

Name: Agentforce
Brand: Agentforce
Price: 2 USD
Availability: InStock

Complete pricing guide for Agentforce. Compare all plans, analyze costs, and find the perfect tier for your needs.

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Still deciding? Read our full verdict on whether Agentforce is worth it →

💎4 Paid Plans

⚡No Setup Fees

Choose Your Plan

Agentforce Service Agent

~$2 per conversation

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Agentforce Sales Agents (SDR & Sales Coach)

Custom enterprise pricing

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Agentforce for Employees

Custom enterprise pricing

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Agentforce Platform / Foundations

Included with qualifying Salesforce editions

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Pricing sourced from Agentforce · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit Agentforce's website for complete plan details.

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Is Agentforce Worth It?

✅ Why Choose Agentforce

• Deep native integration with Salesforce CRM data, Flows, Apex, and Data Cloud means agents can take real actions on opportunities, cases, and accounts without custom plumbing
• Einstein Trust Layer provides enterprise-grade governance with PII masking, zero data retention, audit trails, and toxicity detection — critical for regulated industries
• Low-code Agent Builder lets admins define topics, instructions, and actions in natural language, so non-developers can ship production agents
• Pre-built agent templates (Service Agent, SDR, Sales Coach, Personal Shopper, Campaigns) shorten time-to-value compared to building from a generic framework
• BYO LLM and Model Builder support let customers swap in Anthropic, OpenAI, Google, or fine-tuned private models rather than being locked to one vendor
• AgentExchange marketplace and partner ecosystem provide reusable skills, topics, and prompt templates from ISVs and SI partners

⚠️ Consider This

• Per-conversation consumption pricing (~$2 per conversation) can become unpredictable and expensive at scale, especially for high-volume self-service deployments
• Real value is gated behind owning Salesforce Data Cloud and the broader Salesforce stack — standalone adoption is impractical and not the intended use case
• Implementation typically requires Salesforce-certified partners or internal admins fluent in Flows, Apex, and Data Cloud, raising the total cost of ownership
• Customers have reported gaps between marketing claims about autonomy and the reality of needing significant prompt engineering, topic tuning, and human oversight
• Less flexible than open agent frameworks (LangGraph, CrewAI) for novel non-CRM use cases or for teams that want full control over orchestration code

What Users Say About Agentforce

👍 What Users Love

✓Deep native integration with Salesforce CRM data, Flows, Apex, and Data Cloud means agents can take real actions on opportunities, cases, and accounts without custom plumbing
✓Einstein Trust Layer provides enterprise-grade governance with PII masking, zero data retention, audit trails, and toxicity detection — critical for regulated industries
✓Low-code Agent Builder lets admins define topics, instructions, and actions in natural language, so non-developers can ship production agents
✓Pre-built agent templates (Service Agent, SDR, Sales Coach, Personal Shopper, Campaigns) shorten time-to-value compared to building from a generic framework
✓BYO LLM and Model Builder support let customers swap in Anthropic, OpenAI, Google, or fine-tuned private models rather than being locked to one vendor
✓AgentExchange marketplace and partner ecosystem provide reusable skills, topics, and prompt templates from ISVs and SI partners

👎 Common Concerns

⚠Per-conversation consumption pricing (~$2 per conversation) can become unpredictable and expensive at scale, especially for high-volume self-service deployments
⚠Real value is gated behind owning Salesforce Data Cloud and the broader Salesforce stack — standalone adoption is impractical and not the intended use case
⚠Implementation typically requires Salesforce-certified partners or internal admins fluent in Flows, Apex, and Data Cloud, raising the total cost of ownership
⚠Customers have reported gaps between marketing claims about autonomy and the reality of needing significant prompt engineering, topic tuning, and human oversight
⚠Less flexible than open agent frameworks (LangGraph, CrewAI) for novel non-CRM use cases or for teams that want full control over orchestration code

Pricing FAQ

What is Agentforce and how is it different from Einstein Copilot?

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.

How much does Agentforce cost?

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.

Can Agentforce use models other than Salesforce's own?

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.

Is customer data used to train the underlying models?

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.

What kinds of agents can be built with Agentforce?

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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More about Agentforce

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Choose Your Plan

Agentforce Service Agent

~$2 per conversation

Start Free Trial →

Agentforce Sales Agents (SDR & Sales Coach)

Custom enterprise pricing

Start Free Trial →

Agentforce for Employees

Custom enterprise pricing

Start Free Trial →

Agentforce Platform / Foundations

Included with qualifying Salesforce editions

Start Free Trial →

Pricing sourced from Agentforce · Last verified March 2026

Is Agentforce Worth It?

✅ Why Choose Agentforce

• Deep native integration with Salesforce CRM data, Flows, Apex, and Data Cloud means agents can take real actions on opportunities, cases, and accounts without custom plumbing
• Einstein Trust Layer provides enterprise-grade governance with PII masking, zero data retention, audit trails, and toxicity detection — critical for regulated industries
• Low-code Agent Builder lets admins define topics, instructions, and actions in natural language, so non-developers can ship production agents
• Pre-built agent templates (Service Agent, SDR, Sales Coach, Personal Shopper, Campaigns) shorten time-to-value compared to building from a generic framework
• BYO LLM and Model Builder support let customers swap in Anthropic, OpenAI, Google, or fine-tuned private models rather than being locked to one vendor
• AgentExchange marketplace and partner ecosystem provide reusable skills, topics, and prompt templates from ISVs and SI partners

⚠️ Consider This

• Per-conversation consumption pricing (~$2 per conversation) can become unpredictable and expensive at scale, especially for high-volume self-service deployments
• Real value is gated behind owning Salesforce Data Cloud and the broader Salesforce stack — standalone adoption is impractical and not the intended use case
• Implementation typically requires Salesforce-certified partners or internal admins fluent in Flows, Apex, and Data Cloud, raising the total cost of ownership
• Customers have reported gaps between marketing claims about autonomy and the reality of needing significant prompt engineering, topic tuning, and human oversight
• Less flexible than open agent frameworks (LangGraph, CrewAI) for novel non-CRM use cases or for teams that want full control over orchestration code

What Users Say About Agentforce

👍 What Users Love

✓Deep native integration with Salesforce CRM data, Flows, Apex, and Data Cloud means agents can take real actions on opportunities, cases, and accounts without custom plumbing
✓Einstein Trust Layer provides enterprise-grade governance with PII masking, zero data retention, audit trails, and toxicity detection — critical for regulated industries
✓Low-code Agent Builder lets admins define topics, instructions, and actions in natural language, so non-developers can ship production agents
✓Pre-built agent templates (Service Agent, SDR, Sales Coach, Personal Shopper, Campaigns) shorten time-to-value compared to building from a generic framework
✓BYO LLM and Model Builder support let customers swap in Anthropic, OpenAI, Google, or fine-tuned private models rather than being locked to one vendor
✓AgentExchange marketplace and partner ecosystem provide reusable skills, topics, and prompt templates from ISVs and SI partners

👎 Common Concerns

⚠Per-conversation consumption pricing (~$2 per conversation) can become unpredictable and expensive at scale, especially for high-volume self-service deployments
⚠Real value is gated behind owning Salesforce Data Cloud and the broader Salesforce stack — standalone adoption is impractical and not the intended use case
⚠Implementation typically requires Salesforce-certified partners or internal admins fluent in Flows, Apex, and Data Cloud, raising the total cost of ownership
⚠Customers have reported gaps between marketing claims about autonomy and the reality of needing significant prompt engineering, topic tuning, and human oversight
⚠Less flexible than open agent frameworks (LangGraph, CrewAI) for novel non-CRM use cases or for teams that want full control over orchestration code