Governance
Autonomy operates
inside enterprise control.
Governance is part of the operating platform, not an add-on. The same policy model applies to people, automation and digital labor.
Model
- 01
Policy
Rules define what may be executed automatically, what requires approval and what must escalate.
- 02
Accountability
Every process and digital worker has an owner. Autonomy is delegated, never assumed.
- 03
Auditability
Work carries a record of what was executed, by which worker and under which rule.
AEOS Autonomy Maturity
Organizations progress toward greater autonomy deliberately, one governed level at a time.
- A0
Human-Controlled
A human performs and controls the operation.
- A1
Assisted
Digital Labor assists a human but does not independently decide or execute.
- A2
Decision Support
Digital Labor analyzes context and provides recommendations or decision support.
- A3
Bounded Decision
Digital Labor may make defined decisions within explicitly delegated authority and policy boundaries.
- A4
Governed Autonomous Execution
Digital Labor may make and execute authorized actions within defined policy, authority, risk, approval, and evidence controls.
- A5
Enterprise Autonomy
Coordinated autonomy across broader enterprise operations while remaining governed, observable, auditable, and controllable.
Higher autonomy levels describe intended operating direction. No organization is expected to begin at enterprise autonomy, and responsible autonomy always retains human oversight.
Governance primitives
The same six questions apply to employees, administrators, AI operations, Digital Labor, workflows and system integrations.
- 01
Identity
Who is acting — a person, an administrator, an AI operation or a digital worker.
- 02
Authorization
What that identity is allowed to do, and where in the organization.
- 03
Policy
Which enterprise rules apply to the work being performed.
- 04
Audit
What happened, executed by whom, under which rule.
- 05
Observability
What is happening right now across processes and digital labor.
- 06
Human oversight
When approval is required before execution continues.
Identity, authorization, policy and audit are implemented in the platform today.
The authority architecture built on these primitives is described on AEOS Enterprise Authority™.
Multi-region data governance
For multinational organizations, the platform is designed to support enterprise governance requirements across complex operating environments: regional operations, data boundaries, access policies, regulatory requirements, localization, identity, auditability and deployment models.
Regional data boundaries and deployment options are scoped per engagement. No compliance certification or legal guarantee is claimed.