Agentforce
Agentforce is Salesforce's platform for building generative and autonomous AI agents that support employees and customers 24/7 across service, sales, and marketing functions.
Publisher review
Agentforce is Salesforce's platform for building generative and autonomous AI agents that support employees and customers 24/7 across service, sales, and marketing functions. It is designed for organizations already using Salesforce CRM, enabling them to deploy agents that handle customer requests, automate workflows, and assist sales teams without switching tools. The platform targets enterprises seeking to scale support and sales operations through AI-driven automation while maintaining governance and security within the Salesforce ecosystem.
Agentforce works by leveraging the Atlas Reasoning Engine to execute multi-step workflows, breaking down complex requests into actionable steps. It integrates deeply with Salesforce CRM and Data Cloud, allowing agents to understand requests, decide on actions, and complete tasks using existing data, objects, and flows. The platform includes an Agent Builder for connecting custom actions, a Command Center for real-time monitoring, and a trust layer with guardrails for security. It offers prebuilt agents for specific roles, such as an SDR agent for lead qualification, a Service Agent for customer support, and a Sales Coach for training. Real-time analytics and reporting track Agentforce usage, providing insights into agent performance and conversation outcomes.
In the market, Agentforce competes with platforms like Fin by Intercom, which offers multi-channel support including SMS and voice, and Decagon, which emphasizes structured digital agent behavior. Other competitors include Forethought, ServiceNow Virtual Agent and Now Assist, Microsoft Dynamics 365 Customer Service AI Agents, Ada, and Zendesk AI. Agentforce's strength lies in its tight integration with Salesforce, but it faces competition from vendors that provide more predictable pricing, broader channel coverage, or vendor-neutral AI strategies. For example, Fin by Intercom integrates with multiple help desks, while ServiceNow focuses on workflow-driven automation across IT and HR.
Honest trade-offs include a pricing model that has caused confusion, particularly the $2 per conversation charge, which may lead to unpredictable costs for high-volume use. The platform has a learning curve for optimizing results, as users must configure topics, instructions, and actions within Salesforce's ecosystem. The marketing message emphasizes ease of setup but underplays the effort needed to enhance employee performance, and there are concerns about distinguishing between experimentation and production readiness. Additionally, the growing AI skills gap may hinder adoption, as teams need expertise to build and manage agents effectively.
How it works
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24/7 AI agent support
Builds autonomous agents that handle customer and employee requests around the clock using Salesforce CRM data.
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Atlas Reasoning Engine
Executes multi-step workflows by breaking down complex requests into actionable steps for agents.
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Agent Builder
Allows users to connect custom actions and configure agent behavior through topics and instructions.
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Command Center
Provides real-time monitoring and management of agent performance and conversation outcomes.
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Prebuilt agents
Offers ready-to-use agents for SDR, Service, and Sales Coach roles to accelerate deployment.
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Omnichannel support
Supports digital channels within the Salesforce ecosystem, including chat, email, and messaging.
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Trust and guardrails
Includes a trust layer with security guardrails to ensure safe and compliant agent operations.
Strengths and trade-offs
Strengths
- Integrates natively with Salesforce CRM and Data Cloud, enabling agents to use existing data and flows without additional setup.
- Provides omnichannel support across digital channels within the Salesforce ecosystem, including chat and email.
- Offers real-time analytics and reporting through the Command Center to track agent usage and performance.
- Includes prebuilt agents for SDR, Service, and Sales Coach, reducing time to deployment for common use cases.
Trade-offs
- Pricing model of $2 per conversation has sparked confusion among users about cost predictability for high-volume scenarios.
- Learning curve for optimizing results due to the need to configure topics, instructions, and actions within Salesforce's ecosystem.
- Marketing message focuses on ease of setup but underemphasizes the effort required to enhance employee performance.
- Concerns about distinguishing between experimentation and production readiness, as agents may require significant tuning.
Pricing context
Free tier for any use case; Flex Credits for pay-per-action scaling; pay-per-conversation model at $2 per conversation; additional features available through user licenses and industry-specific add-ons.
Getting started with Agentforce
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Sign up for Agentforce
Go to the Salesforce website and sign up for an Agentforce account. Choose a free tier or a paid plan based on your needs. Complete the registration process and verify your email to activate the account.
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Connect Salesforce CRM data
Log into your Salesforce org and enable Agentforce. Connect your existing CRM data, including objects, fields, and flows, to allow agents to access customer information and automate workflows using Data Cloud integration.
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Configure agent topics and actions
Open the Agent Builder and define topics that your agent will handle, such as customer support or lead qualification. Set instructions and connect custom actions to specify how the agent should respond to requests and execute tasks.
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Deploy a prebuilt agent
Select a prebuilt agent from the library, such as the Service Agent or SDR Agent. Assign it to a channel like chat or email, and activate it to start handling real customer interactions immediately.
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Monitor performance in Command Center
Navigate to the Command Center to view real-time analytics on agent conversations and outcomes. Track usage metrics and adjust topics or actions based on performance data to optimize agent behavior over time.
Frequently Asked Questions
What is Agentforce and how does it work?
Agentforce is Salesforce's platform for building generative and autonomous AI agents that support employees and customers 24/7. It uses the Atlas Reasoning Engine to execute multi-step workflows, breaking down complex requests into actionable steps using Salesforce CRM data.
How much does Agentforce cost?
Agentforce offers a free tier for any use case, Flex Credits for pay-per-action scaling, and a pay-per-conversation model at $2 per conversation. Additional features are available through user licenses and industry-specific add-ons, though the $2 charge may lead to unpredictable costs for high-volume use.
What are the key features of Agentforce?
Key features include 24/7 AI agent support, the Atlas Reasoning Engine for multi-step workflows, an Agent Builder for custom actions, a Command Center for real-time monitoring, prebuilt agents for SDR, Service, and Sales Coach roles, and trust guardrails for security.
How does Agentforce compare to competitors like Intercom Fin?
Agentforce competes with platforms like Intercom Fin, which offers multi-channel support including SMS and voice, and Decagon. Agentforce's strength is tight integration with Salesforce, but competitors may provide more predictable pricing, broader channel coverage, or vendor-neutral AI strategies.
Is Agentforce easy to set up and use?
Agentforce's marketing emphasizes ease of setup, but users face a learning curve to optimize results. They must configure topics, instructions, and actions within Salesforce's ecosystem. The platform also requires effort to distinguish between experimentation and production readiness, and teams need AI skills to manage agents.
What prebuilt agents does Agentforce offer?
Agentforce offers prebuilt agents for specific roles, including an SDR agent for lead qualification, a Service Agent for customer support, and a Sales Coach for training. These ready-to-use agents help accelerate deployment for common use cases within the Salesforce ecosystem.
Alternatives
How Agentforce compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Agentforce
- Pricing
- Free tier for any use case; Flex Credits for pay-per-action scaling; pay-per-conversation model at $2 per conversation; additional features available through user licenses and industry-specific add-ons.
- Target
- Agentforce is Salesforce's platform for building generative and autonomous AI agents that support employees and customers 24/7 across service, sales, and marketing functions.
- Strength
- Integrates natively with Salesforce CRM and Data Cloud, enabling agents to use existing data and flows without additional setup.
- Watch for
- Pricing model of $2 per conversation has sparked confusion among users about cost predictability for high-volume scenarios.
Oliv
- Pricing
- Custom/Contact sales
- Target
- Revenue teams needing deal automation
- Deployment
- Cloud
- Strength
- Unified deal data from 30+ tools
- Watch for
- Newer entrant vs Salesforce ecosystem
Lindy
- Pricing
- Free plan; paid from $20/user/month
- Target
- Teams automating cross-app workflows
- Deployment
- Cloud
- Strength
- No-code automation builder
- Watch for
- Limited Salesforce-native features
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Sources
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