Salesforce announced new agent observability tools, bringing deeper visibility, monitoring, and optimization to every AI agent within the Agentforce 360 Platform.
By providing granular insight into agent behavior, the tools empower organizations to safely scale AI and continually improve agent performance. And by fostering better collaboration between humans and intelligent agents, these observability tools ensure that AI adoption is both reliable and trustworthy, accelerating every company’s journey to becoming an Agentic Enterprise.
The new observability tools within Agentforce span three core areas: analytics, optimization, and health monitoring.
Agent Analytics provides a comprehensive view of how every agent is performing, translating performance into meaningful data, trends, and insights.
- Track Agent Performance: Monitor usage and effectiveness metrics across all deployed agents, giving teams a clear picture of how agents perform in real customer interactions.
- KPI Trends: Surface KPI trends over time, making it easy to see where performance is improving, declining, or requiring attention.
- Actionable Insights: Address ineffective topics, actions, or flows, enabling teams to take targeted steps to optimize agent performance.
Agent Optimization gives customers full observability into every agent interaction. By illuminating performance gaps, tracing session flows, and revealing exactly how agents make decisions, businesses can quickly diagnose issues, understand why an agent behaved a certain way, and take targeted actions to continuously correct and improve outcomes.
- Observe Every Interaction: Access end-to-end visibility of every Agentforce interaction to see exactly how agents respond, step by step, even across complex reasoning chains.
- Cluster and Analyze Sessions: Group similar requests to uncover patterns, friction points, and quality trends while scoring agent responses using intent, topic, and quality metrics.
- Optimize Agent Configuration: Identify configuration issues affecting performance and understand exactly where tuning, retraining, or guardrails are needed.
Agent Health Monitoring ensures continuous agent uptime, reliability, and responsiveness by providing near-real-time visibility and actionable trust signals on your deployed fleet. This component is essential for operational rigor, ensuring your agents perform reliably and consistently even during peak loads.
- Monitor Agent Status Continuously: Track key health metrics in near real time, ensuring dashboard data is fresh and surfacing potential issues before they impact performance or trust signals.
- Resolve Failures Proactively: Receive high-speed alerts on critical errors, latency spikes, and escalations, enabling teams to quickly detect, investigate, and resolve problems to minimize downtime.
- Maintain Enterprise Reliability: Leverage a system built for high availability and operational robustness, giving you confidence that continuous monitoring scales reliably with your entire agent fleet.
Agentforce 360 is powered by two foundational building blocks:
- Session Tracing Data Model: This data model logs every interaction, including user inputs, agent responses, reasoning steps, LLM calls, and guardrail checks, and stores them securely in Data 360. This foundation provides unified visibility and granular, session-level insights so you can ensure agents are behaving as intended and responding appropriately.
- MuleSoft Agent Fabric: This new capability provides a single place to register, manage, govern, and observe every agent, regardless of where it was built.
With these new agent observability tools, plus robust governance in MuleSoft and unified context in Data 360, every company can get full end-to-end control of all their agents, all from within the Agentforce 360 Platform.
Deep observability in Agentforce Studio, including Agent Analytics and Agent Optimization, is available now.
Agent Health Monitoring will be generally available in Spring 2026.
Regional rollout for Agent Optimization and Agent Analytics: EMEA customers is on November 20, 2025, and APAC customers on November 21, 2025.
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