When you review and update your agentic solution, it has a higher chance of success. Review Agentforce analytics to report on key indicators such as performance, usage, quality, trust, cost, and ROI.
Required Editions
| Available in: Lightning Experience |
| Available in: Enterprise, Performance, Unlimited, and Developer Editions. Required add-on licenses vary by agent type. |
Note Beginning in April 2026, agent topics are now called subagents. There are no
changes to functionality. During this transition, you may see a mix of the new and previous
terms in our documentation.
- Improve Agent Performance with Agent Optimizer in Observability (Beta)
Understand agent performance, identify high-impact problems, investigate their causes, and get suggestions for improving sessions in Agentforce Studio. - Agentforce Observability Data Model
The Agentforce Observability data model combines Agent Analytics and Agent Optimization data with Agentforce Session Tracing. It includes session trace logs, intents, LLM calls, feedback, and Trust Layer metrics for analyzing agent performance. - Agent Analytics
Analyze your AI agents’ performance within user and agent sessions. Agent Analytics is built on the unified Session Tracing Data Model (STDM), which captures every event and interaction within a session and logs it as individual events. You can query the logged events to gain insights and optimize the Agent. - Agent Optimization
Use Agent Optimization to inspect agent sessions from the initial user request to the agent’s resolution. - Monitor Agent Health
Agent Health Monitoring detects and notifies you of silent agent failures—like spiking error rates or high latency—in near-real time across your AI agents. Rapidly respond to agent performance issues to mitigate customer impact. - Legacy Agentforce Analytics
Legacy Agentforce Analytics uses Data 360 to help you gain insights into how your agents are performing. The insights in your customizable dashboard and reports can help you determine whether you want to change anything to drive adoption or adjust subagents and actions to improve user satisfaction. - Monitor Your Voice-Enabled Agent
To boost service quality, supervisors can monitor the voice-enabled agents on active calls by using Omni Supervisor. They can also monitor agent performance over time by using agent analytics reports and dashboards. - Agentforce Session Tracing
Agentforce session tracing captures detailed agent interaction data in a unified data model on Data 360. Build dashboards, reports, and queries on this data to derive insights into agent behavior and trends. Take data-driven action while testing, debugging, and monitoring agents in sandbox or production environments. - Monitor Agent Guardrails
Monitor instruction adherence and task resolution for your agents. - Monitor Agentforce Session Log Events
Monitor log events captured during AI agent sessions in the AI Agent Session Log data model object (DMO).