Enterprise AI agent platform that enables companies to build, deploy, and manage autonomous AI agents that work 24/7 for customers, suppliers, and employees. Integrates with Salesforce ecosystem and trusted business data.
Agentforce is Salesforce's enterprise-grade AI agent platform, designed to let organizations build, deploy, customize, and manage autonomous AI agents that operate around the clock across customer service, sales, marketing, commerce, and internal employee workflows. Unlike standalone chatbots or copilots that simply respond to prompts, Agentforce agents are positioned as true digital labor â they reason over trusted business data, take actions in connected systems, hand off to humans when needed, and continuously learn from outcomes within the Salesforce Customer 360 ecosystem.
At the core of Agentforce is the Atlas Reasoning Engine, which combines large language models with retrieval over Salesforce Data Cloud, customer metadata, and business policies to plan multi-step tasks. Agents can be assembled in the Agent Builder using natural language, where admins define topics (areas of responsibility), instructions (guardrails and tone), and actions (Flows, Apex, prompt templates, MuleSoft APIs, or external tools). This means companies can stand up specialized agents â for example, a Service Agent that resolves returns end to end, a Sales Development Representative agent that nurtures inbound leads 24/7, a Personal Shopper for ecommerce, or an internal HR agent that answers benefits questions â without having to write a model from scratch.
Because Agentforce is layered on Salesforce, it inherits the platform's permissioning, audit logs, and the Einstein Trust Layer, which adds zero-data-retention prompts, toxicity detection, PII masking, and bias scoring. This is the platform's main pitch to regulated industries: agents that can act on real customer data without that data leaking into third-party model training. Agentforce can be embedded in Service Cloud, Sales Cloud, Slack, Tableau, Commerce Cloud, and any custom site, and it interoperates with external models via BYO LLM and partner integrations including Anthropic, Google, OpenAI, and others through Model Builder.
Agentforce is sold primarily on a consumption basis (per-conversation pricing) on top of existing Salesforce licenses, making it most economical for organizations already invested in the Salesforce stack. It is positioned as a direct competitor to Microsoft Copilot Studio, Google Agentspace, ServiceNow AI Agents, and standalone agent frameworks, with Salesforce emphasizing deeper CRM grounding and out-of-the-box business actions as its differentiator. The platform has become Salesforce's flagship AI bet, with Agentforce 2.0 and 3.0 expanding voice agents, Slack-native agents, agent-to-agent collaboration, and an AgentExchange marketplace of pre-built skills from partners.
Was this helpful?
~$2 per conversation
Custom enterprise pricing
Custom enterprise pricing
Included with qualifying Salesforce editions
Ready to get started with Agentforce?
View Pricing Options âWeekly insights on the latest AI tools, features, and trends delivered to your inbox.
Heading into 2026, Salesforce has continued to expand Agentforce well beyond its original service-agent roots. Agentforce 3 introduced an upgraded Atlas Reasoning Engine with improved multi-step planning, agent-to-agent delegation so specialized agents can collaborate on complex workflows, and richer voice capabilities for contact centers. The AgentExchange marketplace has grown substantially, with hundreds of partner-built topics and actions available for one-click installation. Native integrations with Anthropic Claude, Google Gemini, and other frontier models via Model Builder give customers more choice in the underlying LLM. Slack has been repositioned as a primary surface for Agentforce, with agents operating directly in channels and DMs alongside humans. Salesforce has also rolled out Testing Center for automated agent evaluation, expanded Agentforce for Field Service, Commerce, and Marketing, and announced deeper interoperability with MCP-style tool standards so external systems can be exposed to agents more easily.
No reviews yet. Be the first to share your experience!
Get started with Agentforce and see if it's the right fit for your needs.
Get Started âTake our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack âExplore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates âAI agents without memory restart from zero every conversation, wasting time and money. Here's how the three types of agent memory work, why they matter for your business, and which tools actually deliver results in 2026.
Deploy AI agents to production with confidence. Covers containerization, cloud deployment on AWS/Azure/GCP, Kubernetes orchestration, observability, cost control, and security best practices.
Running an online store means juggling product listings, customer questions, inventory, pricing, and marketing â all at once. AI agents can now handle most of it for you. Here's exactly how to automate your e-commerce business without hiring a team.
Compare GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, Llama 4, and more for AI agent workloads. Covers tool calling, reasoning, cost, latency, and which model fits your use case.