Salesforce has rolled out its Summer ’25 update for Agentforce, introducing embedded AI capabilities, multimodal support, and industry-specific agents designed to automate enterprise workflows beyond pilot projects. The comprehensive upgrade positions Agentforce as a no-code AI engine woven directly into core business functions, targeting enterprises ready to deploy AI for real-world digital execution across sales, employee support, and industry-specific use cases.
What you should know: The Summer ’25 release transforms Agentforce from a modular tool into a comprehensive AI platform embedded across Salesforce’s entire ecosystem.
- Sales Cloud now automatically suggests and applies CRM field updates, including “Next Steps” and “Stage” progression based on customer conversation insights, reducing manual pipeline management.
- Agentforce extends to employee use cases, providing contextual guidance and workflow execution across Salesforce Lightning Experience, Mobile, and Slack.
- New Agent Surfaces enable admins to create visual, media-rich agent experiences tailored to specific deployment channels.
Multimodal capabilities: Users can now provide audio, video, and images alongside text to generate more accurate AI responses.
- The platform supports six additional languages for Sales Coaching: French, German, Italian, Japanese, Spanish, and Portuguese.
- Web Search functionality allows agents to access public web sources, expanding their knowledge base beyond internal data.
- Instruction Adherence provides AI-generated scoring to monitor agent compliance with topics and instructions.
Industry-specific solutions: Salesforce launched four targeted Agentforce versions addressing sector-specific needs.
- Agentforce for Education handles student queries and activity booking.
- Agentforce for Financial Services provides service assistance and customer support.
- Agentforce for Life Sciences supports clinical site management.
- Agentforce for Public Sector manages complaint summarization and resolution.
Data Cloud enhancements: The update introduces AI Tagging and Classification alongside RAG 2.0 for improved data management and agent accuracy.
- AI-recommended tags automatically label data and metadata.
- RAG 2.0 indexes extracted data with metadata and provides citations with responses.
- New connectors include Web Crawler, Site Map, and Zendesk for better unstructured data integration.
- Policy-based governance offers enhanced control over data access.
In plain English: RAG 2.0 is a system that helps AI agents find and use information more effectively by organizing data with descriptive labels and showing where answers come from—like a smart librarian that not only finds the right book but also tells you which page contains your answer.
Competitive positioning: Analysts highlight Salesforce’s strategic approach of embedding AI directly into existing business workflows rather than requiring separate development environments.
- “Where Azure’s Copilot Studio and Google Vertex AI Agents focus on developer-led customization, Salesforce is building deeply embedded, no-code agents that live inside core business functions,” said Dion Hinchcliffe, lead of the CIO practice at The Futurum Group, a technology research firm.
- “Agentforce isn’t trying to be everything everywhere. Instead, it’s trying to be indispensable where the enterprise already works.”
What they’re saying: Industry experts emphasize the significance of Salesforce’s data governance improvements.
- “RAG 2.0, and other Data Cloud updates are underappreciated breakthroughs in my view: They let enterprises trust, audit, and scale AI agents without building custom governance frameworks,” Hinchcliffe noted.
- Hyoun Park, chief analyst at Amalgam Insights, a technology research firm, described the employee use cases capability as Salesforce’s effort to make Agentforce the “default experience” inside Salesforce.
Pricing update: Salesforce revised prices for Enterprise and Unlimited Editions with Agentforce add-ons, effective August 1, 2025.
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