AI Governance Institute
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AGT · Agentic AIAGT-014Medium effortAgent-relevant

Multi-Agent Delegation Chain Logging

Added May 2026

Log every action in systems where AI agents work together. Preserve enough detail to identify its originating instruction, authorized agent, and responsible person.

Objective

Maintain an auditable chain of custody across multi-agent systems (where AI agents pass work to other agents) so that any action, even one taken by a subagent many hand-offs down, can be traced to the human principal who initiated it.

Maturity Levels

1

Initial

Agent actions are logged individually but without parent-task context; delegation chains cannot be reconstructed.

2

Developing

Orchestrator-level actions (those of the coordinating agent) are logged with task IDs, but subagent actions reference only the calling agent, not the originating instruction.

3

Defined

Every agent action is stamped with a trace ID that links it to the originating human request, delegating agent, and authorization scope.

4

Managed

Delegation chain logs are searchable; compliance teams can reconstruct any action chain on demand within the audit trail SLA.

5

Optimizing

Trace IDs pass automatically through all agent frameworks (the software used to build agents) in use; gaps in chain coverage trigger automated alerts.

Evidence Requirements

What an auditor or assessor would expect to see for this control.

  • —Logging schema documentation (the log's record format) showing the fields that carry the trace ID and how the delegation chain is recorded
  • —Sample reconstructed delegation chains demonstrating end-to-end traceability from human instruction to subagent action
  • —Tamper-evidence controls documentation (append-only store, log integrity verification)
  • —Maximum delegation depth policy and alerting configuration
  • —Audit trail retrieval demonstration: ability to pull a complete delegation chain within the defined SLA (service level agreement, the agreed response time)

Implementation Notes

Key steps

  • Give every human-initiated task a globally unique trace ID (a reference number that follows the task everywhere); pass this ID to every subagent it creates and every tool call (each use of an outside system).
  • Log at minimum: trace ID, parent task ID, agent ID, action type, inputs, outputs, authorization scope (what the agent was permitted to do) active at time of action, and timestamp.
  • Ensure logs are append-only (entries can be added but not changed or deleted) and tamper-evident (any alteration can be detected); agent systems should not be able to modify their own logs.
  • Define the maximum delegation depth (how many times a task can be handed from agent to agent) permitted per task; alert when chains exceed this limit.
  • Require that any agent that spawns another agent records both the delegation instruction and the scope it is passing to the subagent.

Example Implementation

Legal team deploying a contract review orchestrator with document retrieval and clause analysis subagents

Delegation Chain Log: Trace ID: cr-20260531-0047

SeqAgentActionInputs (summary)Auth scopeParent task
1Human (jsmith)Initiate contract reviewContract ID 9921Full access,
2OrchestratorSpawn retrieval agenttrace_id=cr-20260531-0047, doc=9921read:contractshuman-1
3Retrieval AgentFetch documentdoc=9921read:contractsorchestrator-2
4OrchestratorSpawn clause agentsections=[3,7,12]read:contractshuman-1
5Clause AgentAnalyze section 7section_text=...read:contractsorchestrator-4
6OrchestratorCompile reportclause_results=...write:reportshuman-1