What is an AI audit log? Inspect agent activity event by event
Audit Log is the event-level record of agent activity. Where Performance shows the aggregate, Audit Log helps a team inspect the individual actions and state changes behind it.
The concept
A plain-language definition before the product implementation.
An audit log preserves the sequence behind a result
Agent work is easier to trust when important events are attributable and ordered. An audit log records what happened in context so a person can investigate an exception without relying on memory or a final answer alone.
How AI Agent uses it
Follow activity back to its source
AI Agent Audit Log provides a company-scoped activity surface for individual events. Use it to inspect timing and context, then open the related agent, workflow, ticket, or run when deeper evidence is needed.
Event-level detail
Inspect individual activity instead of only aggregate charts.
Ordered context
See when an event happened and what product surface produced it.
Investigation path
Move from an event into the related run or work object.
From idea to a working system.
- 01
Record
Capture meaningful activity from the agent system.
- 02
Filter
Narrow the event stream to the context being investigated.
- 03
Trace
Open the related run, workflow, agent, or ticket for full detail.
Investigate the sequence behind a result
Best for
Event-by-event review of what happened, when it happened, and which agent, workflow, run, or work object produced it.
Choose another pattern when
Comparing system health over time. Use Performance for aggregate trends, then return here for the underlying events.
Included in AI Agent
The product capabilities behind the idea.
- Company-scoped event history
- Chronological activity
- Operational context
- Links into related work
Frequently asked questions
Keep exploring
Related product guides
Performance
Performance is the aggregate view of what the agent system is doing and how well it is working. It helps a team compare activity over time instead of judging the platform from one memorable run.
Human approval
Human approval puts a deliberate checkpoint between agent reasoning and a consequential action. The agent can prepare the work, while a person decides whether it should be applied.
Inbox
Inbox is the attention layer between automated work and the people responsible for it. It collects the items that need review, a decision, or follow-up instead of making people watch every run.
Build the smallest useful version first.
Start with the agent and one real task. Add workflow control, context, and approvals when the work shows you where they matter.