OriginID: OOF-OID-ASGA-AOAS-OAAM-2026-07-08-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Autonomous Systems Governance Architecture
(ASGA™)
Operational Layer: Autonomous Operational Governance Layer
Governed Space: Operational Accountability Attribution
Category: Governance & Enforcement
Subcategory: Autonomous Operational Governance
Type: Autonomous Operational Accountability Standard Module
Parent Standard: Autonomous Operational Accountability Standard
(AOAS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 8 July 2026
Compatibility: OOF Methodology OS · GOA™ · ORA™ · AGA™ · AIG® ·
CLIA® · MGIA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Operational Accountability Attribution Module (OAAM) defines the
structural conditions under which accountability for autonomous
operations is assigned, attributed, identified, and governed
throughout the complete autonomous operational lifecycle.

OAAM governs operational accountability attribution.

The module establishes the governance conditions required to ensure
that responsibility for every autonomous operation remains clearly
attributable to the appropriate operational actor, governance
authority, organization, or accountable entity.

Autonomous operations perform work.

Governance identifies responsibility.

OAAM governs that attribution.

Module Operational Role

OAAM defines the accountability attribution layer of AOAS.

Its role is to preserve clear and continuous accountability for
every autonomous operational activity.

Module Operational Space

OAAM governs:

• operational accountability attribution,
• accountability assignment,
• responsibility attribution,
• accountable operational actors,
• governance responsibility,
• operational ownership,
• accountability identification,
• governed responsibility allocation.

Module Function

The module applies wherever organizations must establish who remains
accountable for autonomous operational decisions, actions, outcomes,
and governance obligations.

Minimum Implementation Framework

1. Define the Accountability Object

Identify which autonomous operations require accountable ownership.

2. Define Attribution Conditions

Establish governance conditions governing accountability assignment
and responsibility attribution.

3. Define Attribution Failure Logic

Identify conditions where accountability becomes unclear, missing,
conflicting, transferred incorrectly, or governance- invalid.

4. Define Governance Response

Define governance actions for accountability assignment,
clarification, reassignment, escalation, or governance review.

5. Preserve Accountability Traceability

Preserve accountability assignments, governance decisions,
operational evidence, responsibility history, and supporting
documentation.

Use Case 1 — Autonomous Hospital Robot

Scenario

An autonomous clinical robot performs medication delivery within a
hospital.

Application

OAAM identifies the accountable clinical department, supervising
physician, and operational governance authority responsible for the
autonomous operation.

Result

Operational accountability remains clearly attributable throughout
the complete healthcare workflow.

Use Case 2 — Enterprise Multi-Agent AI Platform

Scenario

Multiple autonomous AI agents execute financial approval processes
across an enterprise.

Application

OAAM attributes accountability for each operational decision to the
appropriate governance authority and responsible organizational
entity.

Result

The organization preserves transparent, continuous, and
governance-approved accountability for autonomous operations.

Canonical Closing Statement

Governable autonomy requires attributable accountability.
Operational Accountability Attribution ensures that responsibility
for autonomous operations always remains clearly identifiable,
continuously governed, and operationally accountable.

→ Autonomous Operational Accountability Standard (AOAS)