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Salesforce launches Agentforce 3 with AI agent observability and MCP support
- Salesforce launched Agentforce 3 with AI agent observability and MCP support, addressing challenges in deploying digital workers at scale.
- Agentforce 3 introduces a Command Center for real-time visibility into AI agent performance and interoperability standards for connecting with business tools.
- Surging demand for AI agents has led to a 233% increase in usage, with notable returns for early adopters like Engine and 1-800Accountant.
- PepsiCo is leveraging Agentforce for an AI-driven transformation, integrating platforms for enhanced customer engagement and backend efficiency.
- The new Command Center provides detailed analytics, health monitoring, and recommendations for optimizing AI agent performance.
- Salesforce's support of the Model Context Protocol (MCP) enables native connectivity with MCP-compliant servers for seamless integrations.
- The platform offers enterprise-grade interoperability with partners like Amazon Web Services, Box, Google Cloud, IBM, PayPal, and Stripe.
- Enhanced Atlas architecture ensures enterprise-grade performance, lower latency, response streaming, and failover between AI model providers.
- Salesforce hosts Anthropic's Claude models within its infrastructure via Amazon Bedrock for enhanced security and governance.
- Global availability expansion, industry-specific actions, and flexible pricing options aim to facilitate faster AI agent deployment and scalability.
- The Agentforce 3 platform is the focus of the article, detailing its features, benefits, adoption by companies like PepsiCo, and roadmap for enterprise AI deployment.
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