Salesforce Unveils Agentforce 360 to Drive the Era of the ‘Agentic Enterprise’

Salesforce has introduced Agentforce 360, a new suite of AI agents designed to redefine enterprise productivity and usher in what the company calls the “Agentic Enterprise.” The launch represents Salesforce’s most significant leap in artificial intelligence since the debut of Einstein in 2016, extending AI capabilities into real-time decision-making and workflow automation.

Agentforce 360 integrates directly across Salesforce’s platform ecosystem, including Slack, Tableau, MuleSoft, and Data Cloud, allowing businesses to deploy AI-powered agents within their day-to-day operations. These agents are designed to autonomously execute tasks, analyze data, and collaborate with human teams, ultimately enhancing efficiency and decision accuracy.

Marc Benioff, Chair and CEO of Salesforce, said the new platform marks the next evolution of enterprise AI by transforming static automation into dynamic, context-aware agents. He described the launch as a milestone moment in Salesforce’s journey toward building intelligent systems that work seamlessly alongside people to boost creativity, productivity, and customer engagement.

Agentforce 360’s core capability lies in embedding AI agents into existing workflows within Salesforce and Slack. These agents can generate reports, recommend sales strategies, manage marketing campaigns, and streamline customer service—all based on real-time data from the company’s integrated ecosystem. The move signals Salesforce’s ambition to turn generative and autonomous AI into a cornerstone of business operations.

A key part of this initiative is Salesforce’s collaboration with OpenAI. The partnership enables Agentforce 360 to integrate with ChatGPT, allowing enterprise users to leverage conversational intelligence within their Salesforce applications. This integration gives teams the ability to ask natural-language questions, automate content generation, and perform data analysis—all within a secure, enterprise-grade environment.

David Schmaier, President and Chief Product Officer at Salesforce, highlighted that Agentforce 360 is designed to meet enterprise-grade standards for trust, compliance, and governance. He said the system ensures that AI agents operate transparently and responsibly, aligning with Salesforce’s long-standing principles of data security and ethical AI.

The company also announced that the new platform will support flexible deployment across industries, from retail and finance to healthcare and public services. Using Salesforce’s Einstein Trust Layer, the agents can access large volumes of structured and unstructured data while maintaining strict privacy controls. This allows organizations to train domain-specific agents that understand the nuances of their businesses.

Agentforce 360 introduces a new level of interactivity to Salesforce’s flagship products. In marketing, the AI agents can help automate audience segmentation, campaign orchestration, and creative optimization, giving marketers the ability to test ideas faster and at scale. In sales, agents can summarize opportunities, analyze conversion data, and recommend the next best actions for closing deals. For customer service, the system can triage cases, generate responses, and learn from previous interactions to improve support efficiency.

By bringing AI directly into Slack, Salesforce is extending its vision of the connected workplace. The platform allows teams to collaborate with AI agents as virtual colleagues who can handle administrative tasks, fetch analytics, or even summarize meeting transcripts. This aligns with Salesforce’s vision of augmenting human potential with technology rather than replacing it.

In the broader context of enterprise technology, the launch of Agentforce 360 signals a shift from isolated AI tools to fully integrated ecosystems of autonomous agents. These agents not only execute instructions but also learn continuously from organizational data to deliver context-driven insights. Industry analysts have described the platform as a major step toward operational intelligence, where AI becomes a decision-making partner rather than a backend utility.

The Agentic Enterprise concept, which Salesforce introduced alongside Agentforce 360, defines organizations that actively collaborate with AI systems across every function. The company’s executives emphasized that this model is built to scale human expertise through automation and to close the gap between data generation and actionable outcomes. By combining generative AI with Salesforce’s customer relationship management capabilities, enterprises can create more adaptive, responsive, and data-informed workflows.

OpenAI CEO Sam Altman commented on the collaboration, noting that the integration of ChatGPT with Salesforce’s ecosystem represents a strong example of enterprise-grade AI deployment. He said that together, OpenAI and Salesforce are making generative AI tools more accessible and reliable for large organizations, ensuring that they can deploy them safely across departments.

Salesforce’s latest launch arrives at a time when businesses worldwide are accelerating their adoption of AI-driven solutions. As companies look to manage complex data flows, the ability to deploy customizable, self-learning agents is becoming a key differentiator. Salesforce aims to position Agentforce 360 as the foundation for organizations transitioning into this new phase of digital transformation.

The company plans to make Agentforce 360 generally available to customers in early 2026, with pilot programs already underway for select enterprise clients. As adoption grows, Salesforce expects the platform to redefine how businesses structure teams, measure outcomes, and balance automation with human creativity.

With Agentforce 360, Salesforce is positioning itself at the forefront of the enterprise AI race—creating a framework where human expertise and intelligent systems operate in tandem. The company’s commitment to ethical AI, combined with its extensive ecosystem of partners and developers, is expected to set the stage for the next generation of enterprise collaboration and innovation.