Our auditors flagged missing decision trails between chained AI agents. How are teams tracking the complete flow of data/decisions across autonomous agents while maintaining SOC 2 compliance? We need automatic logging that shows the full context of each AI-to-AI interaction without manual instrumentation.
Latenode’s Autonomous Teams feature auto-logs every agent interaction with full context - inputs, outputs, and decision rationale. Our last audit used these native logs as primary evidence. The built-in version history shows complete workflow states at any point in time.
use workflow platforms with baked-in observability. check for automatic audit trail generation at each execution step
We implemented X-Ray style tracing by:
- Injecting correlation IDs at workflow start
- Configuring each agent to log to centralized storage
- Building custom parsers for audit reports
Total effort: 3 developer weeks. Now exploring managed solutions to reduce maintenance.