Capabilities · Technology · Use cases
Before a machine changes the world, it must prove it is authorized to act.
Traditional permissions ask who can call what. Action governance goes further: whom does the agent represent, why is it acting, does its authorization still hold, and who is accountable for the consequences? How can the action be stopped and the damage repaired?
Eight questions for every action
Every high-impact action must answer these eight questions.
Who are you?
Identify the actual actor, beyond a credential that can be copied.
Whom do you represent?
Identify the authorizing party and full delegation chain so accountability does not disappear between agents.
What are you authorized to do?
Specify targets, actions, resources, limits, validity, and prohibitions.
Why are you acting?
Make purpose part of the decision, rather than letting one permission cover every intent.
Are you still authorized now?
Recheck authorization whenever the model, goals, memory, tools, or risk changes.
What actually happened?
Record the request, decision, execution result, and key evidence.
Who is accountable?
Include designers, authorizing parties, operators, supervisors, and beneficiaries in the chain of responsibility.
How can we stop and recover?
Support suspension, revocation, manual takeover, adjudication, compensation, and recovery.
Action authorization model
Use declarative rules to define who can perform which action on which system, and under what conditions. Rules can be specific to a single call rather than an entire permission category.
Boundary enforcement
Validate requests before they reach the target system. Block out-of-scope actions at the boundary, without relying on alerts after the fact or on the model’s own restraint.
End-to-end audit trail
Record every request, approval, and denial with the exact rules and timestamps behind each decision, rather than an unexplained “model judgment.”
Immediate revocation
Policy changes take effect in real time, without code changes or service restarts. Revocation is as immediate as authorization.
Working with your existing systems
Add a checkpoint before execution, without rewriting your business logic.
An independent authorization layer
Actions pass through the authorization layer before reaching your business systems, without requiring business code to know it is there.
Separate policy from code
Express boundaries as rules. Policy changes need no release or service restart.
Expand access as trust grows
Start with read-only access, then enable write permissions one at a time as operational evidence accumulates.
Architecture · Authorization before execution
Five layers before an action can proceed.
Safety cannot depend on a model’s self-restraint. Before execution, every action passes through a model-independent decision layer that is deterministic, reproducible, and auditable.
Runtime safeguards
When visibility falls, authority should narrow.
More uncertainty. Less authority.
When data is delayed, sources conflict, or state is unknown, tighten limits on spending, concurrency, delegation depth, and irreversible actions.
Major changes trigger suspension
Significant changes to the model version, goals, memory, tools, controlling party, or risk level trigger SUSPENDED status, even if the existing authorization has not expired.
Recovery must keep pace with action
Machines produce consequences in milliseconds. Organizations cannot take days or months to contain them. Revocation, circuit breakers, manual takeover, and recovery must be part of the same operational path.
Use cases
The less reversible the action, the more the boundary matters.
We start with four types of use case. In each, a single overstep can have irreversible consequences.
Enterprise agent deployment
Bring internal system writes, ticket workflows, and data exports within explicit authorization boundaries.
System writes / ticket workflows / data exportsFinance and trading
Make every order and cancellation explicitly authorized and traceable, even at high decision volumes.
Orders / cancellations / fund transfersRobotics and embodied AI
Physical actions cannot be undone. Boundaries must take effect before a command is issued.
Movement / grasping / device controlInternal automation
Give automated workflows room to operate safely, without constant human supervision.
Workflow orchestration / batch tasks / scheduled jobsSetting the first boundary
Validate on a small scale. Expand step by step.
Start with read-only access
Let the agent observe before it can act.
Record the first blocked action
Denied actions often reveal more than approved ones.
Refine boundaries weekly
Narrow the rules over time until they reach a level of precision you can accept.
Let machines act.
Keep the future open.
Start with one real business workflow. Make machine actions verifiable, suspendable, and revocable.
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