RAIM — Relationship Accountability Integrity Module

OriginID: OOF-OID-AGA-RAIM-2026-06-14-0005
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Accountability Governance Architecture (AGA™)
Operational Layer: Relationship Governance Layer
Category: Governance & Enforcement
Subcategory: Accountability Governance Architecture
Type: Relationship Accountability Standard Module
Parent Standard: Relationship Accountability Standard (RAS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 14 June 2026
Compatibility: Accountability Governance Architecture (AGA™) ·
Relationship Accountability Standard (RAS) ·
Accountability Governance Standard (AGS-A) · Accountability Chain
Standard (ACS-C) · Evidence Accountability
Standard (EAS)
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Relationship Accountability Integrity Module (RAIM) defines the
structural conditions under which relationships remain attributable,
accountable, evidence-supported, governable, and operationally valid
throughout their lifecycle.

RAIM governs relationship accountability.

The module establishes the conditions required to determine who
created, maintained, modified, governed, supervised, benefited from,
or remained accountable for a relationship throughout
its operational existence.

Module Operational Role

RAIM serves as the accountability layer of the
Relationship Accountability Standard.

Its role is to connect relationships to accountability.

RAIM answers the question:

Who remains accountable for the existence, governance, and
consequences of the relationship?

Module Operational Space

relationship accountability
relationship ownership
relationship governance accountability
relationship supervision accountability
relationship consequence attribution
accountability traceability
accountability preservation

The module applies wherever governance must determine accountability
connected to relationships.

Module Function

The module ensures that governance can determine:

who established the relationship
who approved the relationship
who maintained the relationship
who supervised the relationship
who benefited from the relationship
who remained accountable for the relationship
who remains accountable for consequences arising from the relationship

Its function is to prevent accountability gaps at the
relationship layer.

Minimum Implementation Framework

1. Define the Relationship Accountability Scope

Determine which relationships require accountability analysis.

Examples:

employment relationships
contractor relationships
subcontractor relationships
supplier relationships
Human-AI relationships
multi-agent relationships

2. Identify Relationship Governance Actors

Identify actors responsible for creating, maintaining, governing,
supervising, or approving the relationship.

Examples:

employers
managers
contractors
organizational leaders
AI system owners
governance authorities

3. Map Relationship Accountability

Determine how accountability is distributed across the
relationship structure.

Governance must identify:

primary accountability
shared accountability
delegated accountability
retained accountability
unresolved accountability

4. Validate Accountability Integrity

Determine whether accountability remains identifiable
and operationally valid.

Governance must identify:

accountability gaps
accountability fragmentation
hidden accountability
disputed accountability
abandoned accountability

5. Preserve Accountability Traceability

Maintain sufficient evidence to reconstruct accountability
throughout the relationship lifecycle.

Use Case 1 — Agency Employment Structure

Scenario

A worker is formally employed by an agency but performs work under
the operational direction of another company.

Application

RAIM determines who remains accountable for maintaining and
governing the relationship structure.

Result

Governance gains visibility into accountability beyond
formal contractual arrangements.

Use Case 2 — Orchestrated Agent Environment

Scenario

Multiple AI agents operate through a centralized orchestration layer
under organizational supervision.

Application

RAIM determines accountability for creating, governing, and
maintaining operational relationships between participating systems.

Result

Governance gains visibility into accountability across
the relationship structure.

Canonical Closing Statement

Relationship Accountability Integrity Module (RAIM) defines the
structural conditions under which relationships remain attributable,
accountable, evidence-supported, governable, and operationally valid
throughout their lifecycle.

A relationship may create authority, responsibility, control, and
consequence. Governance therefore requires accountability not only
for actions, but also for the relationships that make those
actions possible.

→ Relationship Accountability Standard - (RAS)