Every Action Logged. Every Decision Traceable.
Your Claws work around the clock. The audit trail shows you exactly what happened, when, and why, so you never have to guess.
Tuesday, 9:14 AM. Your orchestrator checks in on the support triage Claw. Three unresolved escalations from overnight. It pings your team lead in Slack with a summary: two billing disputes need human review, one feature request has been routed to product. By the time your lead opens their laptop, the context is already there: who said what, what the Claw tried, and why it escalated.
That’s not a hypothetical. That’s what your Activity Feed looks like on a normal morning.
When you deploy AI coworkers that handle real work (triaging support tickets, drafting responses, coordinating handoffs) you need to know what they did. Not a vague summary. The actual sequence of events, with timestamps, so you can trace any outcome back to the decision that caused it.
How It Works
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Every action creates a log entry. When a Claw reads an email, routes a ticket, drafts a response, or escalates to a human, that action gets a timestamped entry in the activity feed. No configuration needed. Logging is on by default for every agent in your ClawCage container.
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The orchestrator adds coordination context. Your Orchestrator agent logs its own check-ins: which Claws it reviewed, what status it found, what actions it took in response. You see the management layer, not just the task layer.
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Filter and search across your team. Looking for every escalation from the past 48 hours? Filter by action type. Want to see what a specific Claw did on Monday? Filter by agent and date range. Need to understand why a customer got a particular response? Trace the decision chain from intake to output.
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Scoped access matches your org structure. Access controls apply to the audit trail too. Team leads see their agents. Admins see everything. Individual contributors see the Claws scoped to them. No one sees more than they should.
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Export for compliance. Pull audit logs as structured data for internal reviews, compliance reporting, or incident investigation. Every entry includes the agent ID, action type, timestamp, input context, and outcome.
Why It Matters
AI agents that work without oversight are a liability. AI agents with a complete, searchable record of every action they took are an asset.
The difference between “the AI did something weird” and “at 2:47 PM the support Claw misrouted ticket #4821 because the customer mentioned ‘billing’ in a feature request” is the difference between anxiety and control.
Your team needs to see what happened. Your compliance team needs to prove what happened. And when something goes wrong (because it will, eventually) you need to trace the exact sequence of events that led there.
The audit trail also makes your Claws better over time. When you can see patterns in escalations, you can adjust agent skills or provide team feedback that prevents the same issue next week. Every log entry is training data for your team’s understanding of how their AI coworkers operate.
Key Benefits
- No black boxes. Every decision your Claws make is visible and traceable. Full transparency into agent behavior, integrated with your existing security model.
- Faster debugging. When something goes wrong, find the root cause in minutes, not hours. Trace any outcome back through the decision chain.
- Compliance-ready. Exportable, structured logs for audits, reviews, and regulatory requirements.
- Pattern recognition. Spot recurring escalations, identify skill gaps, and refine your multi-agent setup based on real data.
- Team confidence. Your team can verify what their AI coworkers did. That verification builds the working relationship that makes AI augmentation actually work.