Workflow owners
You need one accountable owner for the end-to-end result, even when several agents perform parts of the work.
Ownership across delegated work
Multi-agent governance for handoffs, sub-agents, and shared data.
Define who owns each agent, what it may delegate, which data and tools can cross a handoff, when a person must approve, and how the entire agent chain can be paused or shut down.
Ownership
Handoffs
Shared memory
Shutdown
Who It Is For
When responsibility gets blurry between agents, platforms, and people.
For Maine organizations building orchestrated workflows, using sub-agents, connecting different agent products, or allowing one agent to route work to other tools and systems.
Technology leaders
You need a map of identities, tools, memory, applications, credentials, and control points across the agent chain.
Risk and policy teams
You need rules for delegation, approval, escalation, evidence retention, vendor boundaries, and emergency shutdown.
Governance Risks
Every handoff can change context, authority, and accountability.
Orphaned responsibility
A task crosses agent boundaries, but no person remains accountable for accuracy, safety, cost, or final approval.
Permission inheritance
A sub-agent receives the parent agent’s broad authority even though its narrow task needs less access.
Shared-memory leakage
One agent’s context, client data, or instructions become available to another task or agent without a justified need.
Unbounded delegation
An agent can create, select, or call sub-agents without limits on purpose, depth, time, cost, tools, or destinations.
Broken approval chain
A human approved the original objective but cannot see or approve a consequential delegated action.
Partial shutdown
Stopping the orchestrator leaves sub-agents, queued work, sessions, or credentials active elsewhere.
Multi-Agent Governance Review
- Named business and technical owner for each in-scope system
- Agent, sub-agent, orchestrator, tool, and application relationship map
- Approved handoff purposes, inputs, outputs, and prohibited transfers
- Shared-memory, retention, and cross-task data review
- Tool, identity, credential, destination, and cost boundaries
- Human approval and escalation matrix
- Emergency pause, credential revocation, queue handling, and shutdown process
- Prioritized governance action register
Operating Model
How the review works.
Map the system and owners
Identify the orchestrator, agents, sub-agents, users, tools, applications, memory stores, credentials, vendors, and accountable people.
Trace representative handoffs
Follow a small set of real workflows to see how context, authority, data, cost, and approval move from one component to the next.
Set boundaries
Define allowed delegation depth, approved tools and destinations, data minimization, credential separation, time and cost limits, and review gates.
Exercise escalation and shutdown
Walk through how a person pauses new work, stops active agents, handles queues, revokes access, preserves evidence, and authorizes restart.
Human Approval & Least Privilege
Delegation should reduce scope, not silently expand it.
Each handoff should carry only the context and authority required for the delegated task. Consequential actions return to a named human approval point, and shared memory is treated as an explicit data boundary rather than a convenience default.
Common Questions
Multi-agent governance FAQ
When does a workflow need multi-agent governance?
Governance becomes important when one agent delegates to another, agents share memory or credentials, separate systems exchange tasks, or ownership becomes unclear across a multi-step workflow.
Should every sub-agent have its own credentials?
Where the platform and use case allow it, separate scoped identities improve least privilege and accountability. The review documents practical constraints and avoids claiming separation that the platform cannot provide.
Does governance mean agents cannot work autonomously?
No. It means autonomy is bounded by an approved purpose, tools, data, time, cost, handoff rules, and human approval points, with a named owner able to pause or stop the system.
Make every agent handoff answerable to a person.
Start with one multi-agent workflow and the ownership or delegation question creating the most risk.