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.

  1. A0

    Human Only

    Work is performed entirely by people.

  2. A1

    Assisted

    Intelligence supports people inside existing work.

  3. A2

    Automated

    Defined processes execute without manual steps.

  4. A3

    Autonomous

    Bounded work executes end to end under policy.

  5. A4

    Managed Autonomy

    Digital Labor is coordinated and supervised at scale.

  6. A5

    Enterprise Autonomy

    Governed autonomous operation across the enterprise.

Planned

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.

Available today

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.

Planned

Regional data boundaries and deployment options are scoped per engagement. No compliance certification or legal guarantee is claimed.