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Salesforce Agentforce

by Salesforce

AI agents native to the Salesforce platform and your CRM data.

Pros

  • Unmatched integration with Salesforce CRM and data
  • Flexible pricing (per-conversation or Flex Credits)
  • Enterprise governance, testing, and scale

Cons

  • Among the most expensive per-unit pricing in the category
  • Complex credit/conversation accounting and setup
  • Best value only for existing Salesforce shops; Flex Credits and Conversations can't be mixed in one org

✓ Where it shines / best for

  • Enterprises already standardized on Salesforce / Service Cloud
  • Teams wanting AI agents grounded in CRM and Data Cloud
  • Orgs needing employee, customer, and voice agents in one platform

✕ Not the best fit for

  • Non-Salesforce shops wanting a lightweight standalone agent
  • Cost-sensitive SMBs sensitive to $2/conversation pricing

Features

  • ✓ AI service agents native to Service Cloud and CRM data
  • ✓ Per-conversation ($2) or Flex Credits consumption model
  • ✓ Atlas reasoning engine for grounded, multi-step actions
  • ✓ Customer-facing, employee-facing, and voice agents
  • ✓ Deep access to Salesforce data, flows, and Apex actions
  • ✓ Data Cloud / Data 360 grounding for context
  • ✓ Guardrails, testing, and agent governance tooling
  • ✓ Pre-purchase, pay-as-you-go, and pre-commit buying models

Pricing

PlanPriceBillingNotes
Per-conversation$2per conversationFor customer-facing agents under the fixed Conversations model
Flex Credits$500per 100,000 creditsCovers customer, employee, and voice agents. Standard Agentforce actions = 20 credits; Voice actions = 30 credits. Credit multipliers vary by workflow complexity (e.g. case management ~60 credits, field service scheduling ~120 credits)
Buying modelsVariesvariesPayGo (monthly arrears), Pre-Commit, or pre-purchase for the full term; Flex Credits and Conversations can't coexist in one org

Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.

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