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We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform. Privacy Statement: http://www.salesforce.com/company/privacy/

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Founded

1999

Location

San Francisco, California

Employees

85,294

Funding

Public

Salesforce: Agentforce 360 Dossier

Salesforce is a global leader in CRM, delivering its Customer 360 platform across sales, service, marketing, commerce, analytics, and integration. Positioned as the “#1 AI CRM,” Salesforce unifies human work and AI agents on one governed platform anchored by Data Cloud and the Einstein Trust Layer. Company HQ: 415 Mission St, San Francisco, CA. Explore the [Salesforce website](https://www.salesforce.com) and [LinkedIn profile](https://www.linkedin.com/company/salesforce).

### What is Agentforce 360?

Agentforce 360 is Salesforce’s unified platform to design, deploy, and orchestrate AI agents across Customer 360. It combines the Agentforce Platform, Data 360, and Customer 360 apps with robust governance, trust, and multi-model reasoning.

  • Product hub: [Agentforce](https://www.salesforce.com/agentforce)
  • Platform overview: [Salesforce Platform](https://www.salesforce.com/platform) and [Agentforce 360 Platform](https://www.salesforce.com/platform/agentforce-platform)
  • What’s new: [Latest features](https://www.salesforce.com/agentforce/what-is-new)
  • Launch news: [Investor announcement](https://investor.salesforce.com/news/news-details/2025/Welcome-to-the-Agentic-Enterprise-With-Agentforce-360-Salesforce-Elevates-Human-Potential-in-the-Age-of-AI/default.aspx)
  • Independent analysis:

  • How it works and Dreamforce recap: [SalesforceBen overview](https://www.salesforceben.com/how-does-salesforces-agentforce-work) and [voice updates](https://www.salesforceben.com/salesforce-unveils-agentforce-360-at-dreamforce-with-new-features-including-voice)
  • Analyst take: [Constellation Research](https://www.constellationr.com/blog-news/insights/salesforce-makes-its-agentforce-360-case-be-your-ai-agent-platform)
  • Context and market view: [Fortune coverage](https://fortune.com/2025/10/21/salesforce-marc-benioff-ai-agents-dreamforce-agentforce-eye-on-ai)
  • ### Core Components

  • Agentforce Platform: Low-code tools to design, test, deploy, and orchestrate agents with policy guardrails. [Explore the platform](https://www.salesforce.com/platform/agentforce-platform)
  • Customer 360 Apps: Sales, Service, Marketing, Commerce, and more for embedded agent actions. [Customer 360](https://www.salesforce.com)
  • Data 360: Ground agents in structured/unstructured data with governance via the Einstein Trust Layer.
  • Voice Agents: Natural, low-latency conversations that can take actions in Salesforce. [See what’s new](https://www.salesforce.com/agentforce/what-is-new) and [Dreamforce recap](https://www.salesforceben.com/salesforce-unveils-agentforce-360-at-dreamforce-with-new-features-including-voice)
  • Multi‑Model Reasoning: Expanded collaboration with Google Gemini for hybrid reasoning and orchestration. [Press release](https://www.salesforce.com/news/press-releases/2025/10/16/google-gemini-agentforce-partnership-expansion-announcement)
  • ### How Agentforce Works

  • Retrieval → Planning → Action: Agents retrieve context from Data 360, plan multi-step tasks, call tools/flows, update records, and trigger automations.
  • Enterprise Guardrails: Data masking, grounding, logging, and policy controls via the Einstein Trust Layer.
  • Learn more: [How it works](https://www.salesforce.com/ca/agentforce/how-it-works) and [Trailhead modules](https://trailhead.salesforce.com/content/learn/modules/introduction-to-agentforce)
  • ### Pricing and Availability

  • Flexible models: Conversation-based pricing, Flex Credits, and per-user licensing. [Agentforce pricing](https://www.salesforce.com/agentforce/pricing)
  • Packaging varies by cloud edition and add-ons; start with a demo, pilot, or trials for core clouds via product pages. [Agentforce hub](https://www.salesforce.com/agentforce)
  • ### Who It’s For

  • Enterprises and mid-market teams standardizing on Salesforce seeking governed AI agents embedded in CRM.
  • Leaders in Sales, Service, Marketing, Commerce, and RevOps looking to augment teams with digital labor.
  • IT/admin teams prioritizing centralized governance, auditability, and trust controls for AI.
  • ### High-Value Use Cases

  • Sales: Lead follow-up, meeting prep, account research, pipeline updates, quote/order actions. [AI for Sales](https://www.salesforce.com/sales/ai-sales-agent)
  • Service: Triage, case resolution, knowledge retrieval, RMA workflows, field service scheduling. [Service Cloud](https://www.salesforce.com/service) and [Service reviews](https://www.g2.com/products/salesforce-service-cloud/reviews)
  • Marketing: Campaign setup assistance, content ops, audience pulls grounded in Data 360.
  • Commerce: Product Q&A, order status/returns, personalized upsell flows.
  • IT/Ops: Ticket triage, app automations, policy-driven agent actions across org data.
  • ### Integrations and Ecosystem

  • Native: Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, Slack, Tableau, MuleSoft, Data Cloud. [Customer 360](https://www.salesforce.com)
  • AI Model Partners: Expanded Google Gemini collaboration. [Announcement](https://www.salesforce.com/news/press-releases/2025/10/16/google-gemini-agentforce-partnership-expansion-announcement)
  • Third-Party: AppExchange apps/connectors; enterprise data sources via MuleSoft and Data Cloud.
  • ### Trust, Governance, and Security

  • Built-in controls via the Einstein Trust Layer: data grounding, masking, logging, access policies, and audit.
  • Centralized governance for multi-agent deployments across business units.
  • Reasoning controls to manage which models/tools agents can access and how they plan actions.
  • ### Customer Proof

  • Reddit case study: Agentforce helps SMB advertisers set up and troubleshoot campaigns faster. [Read the story](https://www.salesforce.com/customer-stories/reddit)
  • ### Strengths and Considerations (User Sentiment)

    Pros

  • Strong grounding in Salesforce data improves accuracy and agent productivity when org data is clean. [G2 overview](https://www.g2.com/products/salesforce-agentforce/reviews), [G2 discussion](https://www.g2.com/discussions/which-ai-support-agent-software-delivers-the-highest-csat-scores), [Reddit thread](https://www.reddit.com/r/salesforce/comments/1j4l4nr/thoughts_on_agentforce)
  • Seamless fit within Service/Sales workflows reduces tool-switching. [Service Cloud reviews](https://www.g2.com/products/salesforce-service-cloud/reviews)
  • Flexible pricing: per-user, conversation-based, Flex Credits. [Pricing](https://www.salesforce.com/agentforce/pricing)
  • Rapid product velocity with voice, improved reasoning, and low-code builder. [What’s new](https://www.salesforce.com/agentforce/what-is-new), [SalesforceBen coverage](https://www.salesforceben.com/salesforce-unveils-agentforce-360-at-dreamforce-with-new-features-including-voice)
  • Cons

  • Setup complexity and heavy dependency on data quality. [Reddit discussion](https://www.reddit.com/r/salesforce/comments/1j4l4nr/thoughts_on_agentforce), [Review analysis](https://www.oliv.ai/blog/salesforce-agentforce-reviews-analyzed)
  • Confusion around scope vs. Einstein and packaging/renaming. [ELI5 thread](https://www.reddit.com/r/salesforce/comments/1fkhl9v/i_have_no_idea_what_agentforce_actually_is_can)
  • Some users prefer direct actions over agentic UX for simple flows. [CX Today coverage](https://www.cxtoday.com/contact-center/salesforce-axes-search-in-favor-of-agentforce-users-push-back)
  • Early G2 feedback cites implementation challenges and need for strong governance. [G2 reviews](https://www.g2.com/products/salesforce-agentforce/reviews) and [feature rollups](https://www.g2.com/products/salesforce-agentforce/features)
  • ### Getting Started

  • Request a demo or pilot to scope use cases, data readiness, and governance.
  • Establish data hygiene baselines in Data Cloud; define policies in the Einstein Trust Layer.
  • Start with a contained workflow (e.g., service triage or sales follow-up) and scale to multi-agent orchestration.
  • Resources and Learning

  • Guides and updates: [Agentforce Guide](https://www.salesforce.com/agentforce/guide) and [What’s new](https://www.salesforce.com/agentforce/what-is-new)
  • Trailhead: [Get ready for Agentforce](https://trailhead.salesforce.com/content/learn/trails/get-ready-for-agentforce) and [Intro to Agentforce](https://trailhead.salesforce.com/content/learn/modules/introduction-to-agentforce)
  • Deep dives: [How Agentforce works (SalesforceBen)](https://www.salesforceben.com/how-does-salesforces-agentforce-work) and [Gearset guide](https://gearset.com/blog/salesforce-agentforce-a-complete-guide)
  • ### Quick Facts

  • Company: [Salesforce, Inc.](https://www.salesforce.com)
  • HQ: San Francisco, CA (415 Mission St, 94105); global operations
  • Employees: 85,000+; LinkedIn followers: 6.1M+
  • Positioning: “#1 AI CRM” unifying humans and AI agents on one governed platform
  • Agent Product: [Agentforce 360 Platform](https://www.salesforce.com/platform/agentforce-platform)
  • Data Layer: Data 360 grounded in Salesforce Data Cloud
  • Trust: Einstein Trust Layer and policy guardrails
  • Voice: Unified, low-latency voice agents
  • Partnerships: Google Gemini collaboration
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