Behavioral Scope Module - (BSM)

OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AIG-BBS-BSM-2026-06-26-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: AI Governance Architecture (AIG®)
Operational Layer: AI Behavioral Governance Layer
Governed Space: Behavioral Scope
Category: AI Governance
Subcategory: AI Behavioral Governance
Type: Behavioral Boundary Standard Module
Parent Standard: Behavioral Boundary Standard (BBS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 26 June 2026
Compatibility: OOF Methodology OS · AI Governance Architecture (AIG®) · Governance
Architecture (GOA™) · Operational Reality Architecture (ORA™) · Cognitive
Governance Intelligence Architecture (CLIA®) · Memory Governance Intelligence
Architecture (MGIA™)
AI-Readable: Yes
Authority: OOF
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)


Canonical Definition System

Canonical Definition

Behavioral Scope Module (BSM) defines the structural conditions under which
the authorized scope of AI behavior remains clearly defined, measurable,
governable, traceable, enforceable, and operationally valid throughout the
complete behavioral lifecycle.

BSM governs behavioral scope.

The module establishes the foundational conditions required to ensure that AI
systems operate only within explicitly approved behavioral domains, functions,
responsibilities, and operational objectives.

AI may perform many behaviors.

Only authorized behaviors belong within its behavioral scope.

BSM governs that scope.

Module Operational Role

BSM defines the behavioral-scope layer of BBS.

Its role is to establish and preserve the authorized scope of AI behavior.

Module Operational Space

BSM governs:

  • behavioral scope
  • behavioral domain definition
  • authorized AI functions
  • behavioral responsibility limits
  • operational behavioral scope
  • behavioral governance boundaries
  • behavioral scope validation
  • behavioral scope assurance


The module applies wherever AI behavioral responsibilities must be explicitly
defined.

Module Function

The module applies wherever systems must preserve:

  • authorized behavioral scope
  • clearly defined behavioral responsibilities
  • traceable scope definitions
  • governance-valid behavioral limits
  • operational clarity
  • trustworthy behavioral execution


Its function is to ensure that AI performs only behaviors that belong within
its approved operational scope.

Minimum Implementation
Framework

1. Define the Behavioral Scope Object

The organization must define which AI behaviors belong within the approved
behavioral scope.
This may include:

  • conversational services
  • recommendations
  • autonomous control
  • planning
  • robotic execution
  • monitoring
  • Human-AI interaction
  • multi-agent collaboration


2. Define Behavioral Scope Conditions

The system must define the conditions under which behavioral scope remains
valid.
This includes:

  • scope requirements
  • authorization requirements
  • operational requirements
  • traceability requirements
  • validation requirements
  • governance-valid scope conditions


3. Define Behavioral Scope Degradation Detection Logic

The system must define how behavioral scope violations are identified.
This may include:

  • unauthorized behavioral expansion
  • execution outside approved responsibilities
  • scope ambiguity
  • undefined behavioral functions
  • operational scope violations
  • governance-invalid behavioral activities


4. Define Operational Response or Governance Logic

The system must define governance logic for behavioral-scope violations.
Governance response may include:

  • scope review
  • behavioral validation
  • authorization reassessment
  • behavioral correction
  • governance intervention
  • operational restriction
  • operational invalidation where required


5. Preserve Traceability & Restrict Invalid Conditions

The system must preserve reconstructable traceability of:

  • behavioral scope definitions
  • governance reviews
  • authorization records
  • validation activities
  • governance interventions
  • resulting behavioral states


An AI behavioral environment must not remain boundary-valid if materially
significant behavioral scope violations cannot be reconstructed, reviewed,
validated, preserved, or governed.

Use Case 1 — Enterprise AI Assistant

Scenario

An enterprise AI assistant is authorized to provide internal policy guidance
but is not authorized to approve financial transactions or modify corporate
records.

Application

BSM governs behavioral scope, authorization boundaries, operational
validation, and governance oversight.

Result

The organization prevents unauthorized AI activities, preserves governance
control, strengthens operational clarity, and improves trust.

Use Case 2 — Autonomous Industrial Robot

Scenario

An autonomous robot is authorized to perform assembly operations but must
never perform maintenance activities without explicit human authorization.

Application

BSM governs behavioral scope, operational responsibilities, behavioral
validation, and execution boundaries.

Result

The organization maintains safe autonomous operation, prevents unauthorized
behavior, strengthens governance assurance, and reduces operational risk.

Canonical Closing
Statement

Behavioral Scope Module (BSM) defines the structural conditions under which
the authorized scope of AI behavior remains clearly defined, measurable,
governable, traceable, enforceable, and operationally valid throughout the
complete behavioral lifecycle.

Behavioral boundaries begin by defining what AI is authorized to do.
Behavioral Scope therefore becomes the first operational condition of
Behavioral Boundary Standard within AI Governance Architecture (AIG®).