Skip to content
Brief
Agentforce

Agentforce

AI-Powered Marketing & Sales AutomationProduct· part of Salesforcesalesforce.com

Agentforce enables enterprises to deploy autonomous AI agents that act on real-time CRM and business data to execute complex tasks across sales, service, and marketing — reducing manual workload and accelerating business outcomes at scale.

Last updated Jul 9, 2026 by ATDb automated enrichment · Connections updated Jul 14, 2026

Founded
2024
HQ
San Francisco, California, United States
Parent
Connections
19

At a glance

Employees
10001+
Revenue
Part of Salesforce (~$35B+ annual revenue)
7integrations9competitors2corporate family

About

Market leader in enterprise AI agent platforms, leveraging Salesforce's dominant CRM position to drive adoption of autonomous AI agents across sales, service, and marketing functions

Agentforce is Salesforce's flagship AI agent platform, launched in 2024, designed to enable enterprises to build, customize, and deploy autonomous AI agents across their business operations. Powered by Salesforce Data Cloud and the proprietary Atlas reasoning engine, Agentforce agents can independently handle complex tasks across sales, service, marketing, and commerce workflows without requiring constant human intervention. The platform represents Salesforce's strategic positioning of autonomous agents as the 'third wave' of AI — moving beyond simple chatbots and copilots toward fully autonomous digital labor. Agentforce integrates deeply with the broader Salesforce ecosystem, including Sales Cloud, Service Cloud, Marketing Cloud, and Commerce Cloud, allowing agents to act on real-time CRM data and execute multi-step business processes. The platform includes Agent Builder for low-code agent creation, a library of pre-built agent templates, and the ability to connect to external systems via APIs and MuleSoft integrations. Enterprises can deploy agents across channels including web, mobile, messaging apps, and voice. In the AdTech and enterprise software landscape, Agentforce competes directly with Microsoft Copilot Studio, Google Vertex AI Agent Builder, and emerging AI agent platforms from ServiceNow and HubSpot. Salesforce has aggressively marketed Agentforce as a transformative workforce augmentation tool, with pricing structured around a per-conversation model that lowers the barrier for enterprise adoption at scale.

Business model

SaaS

Target market

Enterprise

What they offer

  • Agentforce for Service

    Autonomous AI agents that handle customer service inquiries, case resolution, and support workflows across digital and voice channels

  • Agentforce for Sales

    AI agents that assist with lead nurturing, pipeline management, outreach, and sales task automation within Sales Cloud

  • Agentforce for Marketing

    Agents that automate campaign execution, audience segmentation, and personalized customer engagement via Marketing Cloud

  • Agentforce for Commerce

    AI agents that handle product recommendations, order management, and shopper assistance in Commerce Cloud

  • Agent Builder

    Low-code/no-code tool for enterprises to design, configure, and deploy custom AI agents using natural language instructions and pre-built templates

  • Atlas Reasoning Engine

    Salesforce's proprietary AI reasoning layer that powers agent decision-making, multi-step planning, and action execution

  • Agentforce Contact Center

    Unified AI-powered contact center solution combining voice, digital channels, and CRM data for autonomous customer support

  • Agent Marketplace (AgentExchange)

    Partner ecosystem marketplace for discovering and deploying pre-built agent templates and integrations from Salesforce partners

Key features

Autonomous multi-step task execution without human interventionAtlas Reasoning Engine for intelligent decision-makingDeep integration with Salesforce Data Cloud for real-time data groundingLow-code Agent Builder with natural language configurationPre-built agent templates for common enterprise use casesOmnichannel deployment across web, mobile, messaging, and voiceHuman escalation and handoff controlsMuleSoft-powered external system integrationsRole-based agent permissions and governance controlsPer-conversation usage-based pricing model

Use cases

Autonomous customer service and case resolutionAI-powered sales development and lead nurturingAutomated marketing campaign execution and personalizationE-commerce shopper assistance and order managementEmployee IT and HR self-service automationContact center deflection and voice AIPipeline forecasting and opportunity managementOnboarding and customer success automation

Customer segments

Large enterprise and Fortune 500 companiesFinancial services firmsHealthcare and life sciences organizationsRetail and e-commerce companiesTechnology companiesManufacturing and industrial enterprisesTelecommunications providersGovernment and public sector

Tech & specs

Technology stack

Atlas Reasoning Engine (proprietary LLM orchestration)Salesforce Data Cloud (real-time data unification)Einstein AI platformMuleSoft (API and integration layer)Apex (Salesforce programming language)Flow automation engineSlack integration layerLarge Language Models (OpenAI, Anthropic, others via model selection)

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAAISO 27001FedRAMPEinstein Trust Layer (zero data retention, toxicity filtering, PII masking)

Deployment

Cloud

API

Yes

Explore further

2 views