Salesforce unveils Agentforce 3 with unified studio and monitoring tools

Salesforce has released Agentforce 3, the fourth iteration of its AI agent platform since September 2024, introducing Agentforce Studio and Command Center to help enterprises build and monitor AI agents more effectively. The update addresses growing enterprise needs for comprehensive agent lifecycle management as AI agents proliferate across corporate IT systems, with new observability features designed to give companies confidence to deploy agents in customer-facing environments.

What you should know: Agentforce Studio consolidates previously scattered agent-building tools into a unified development environment, while Command Center provides real-time monitoring and optimization capabilities.

• Studio brings together existing tools that were previously located in different parts of Agentforce, creating what Salesforce AI general manager Adam Evans calls “one integrated environment” for full agent lifecycle development.
• Command Center serves as an observability layer that can track agent health in real time, intervene when needed, and simulate agent behavior at scale before deployment.
• The platform now supports agent interoperability frameworks including MCP (Model Context Protocol) and A2A (Agent-to-Agent), enabling broader integration capabilities.

Why this matters: The enhanced monitoring capabilities could be a turning point for enterprise AI agent adoption, particularly in customer-facing applications where reliability is crucial.

• “Command Center may finally give enterprises the confidence to scale Agentforce into customer-facing environments,” said Rebecca Wettemann of Valoir Research, a technology research firm.
• The unified approach mirrors broader industry trends toward platform engineering, empowering enterprise customers to scale digital labor beyond IT departments into various business functions.

Key technical features: Command Center includes an embedded optimizer that continuously recommends agent improvements based on performance data.

• The system provides real-time debugging and telemetry capabilities, enabling smoother collaboration between developers and non-technical teams.
• Users can simulate agent behavior at scale with state injection and AI-driven evaluations before deployment.
• The platform focuses on business outcome observability rather than traditional system performance metrics.

What experts are saying: Industry analysts note both the potential and current limitations of Salesforce’s approach.

• “The CRM software provider is focusing on the business side of observability (the effectiveness of the agents) versus the more common view: are the agents running in a performant way?” cautioned Jason Andersen of Moor Insights & Strategy, a technology research firm.
• Dion Hinchcliffe from The Futurum Group, a technology analyst firm, highlighted a key gap: “It doesn’t optimize for cost, while software from other AI agent developers such as Snowflake and Databricks does.”

Timeline and availability: The agent health monitoring feature, Command Center, and Agentforce Studio app will be available in August 2025, according to Salesforce.