Real-Time Monitoring
Watch automations execute live with complete visibility into AI decisions and progress
See your automations run in real-time with visibility into every step, decision, and action AI takes.
What It Does
Real-Time Monitoring gives you a live view of automations as they execute. Watch each step happen, see what the AI is thinking and why it made specific decisions, track progress through the process, and catch errors immediately when they occur. Everything AI does is visible and explained, building trust through transparency.
Key Benefits
- Build team confidence by watching AI work rather than treating it as a black box
- Catch errors in seconds instead of discovering them when customers notice
- Debug failed executions by seeing exactly which step broke and why
- Replay any past execution for training, auditing, or root-cause analysis
- Identify error patterns across executions with error analytics
What You Can See
Live execution view streams activity within 1 second: a chronological activity feed across all automations, step-by-step progress indicators, AI reasoning for decisions, and execution logs as they stream.
Error tracking captures full stack traces, error types (validation, timeout, API failures), severity levels, execution context at failure, retry attempts, and historical error analytics to surface patterns.
Historical replay lets you step through any completed execution to see exactly what happened, including all errors.
When to Use Monitoring
Real-time monitoring is most valuable when introducing new automations (watch initial runs to build confidence), debugging failures (pinpoint root cause immediately), training team members (show how AI approaches problems), and auditing past executions (compliance or quality review).
Last Updated: 2026-05-22