OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-AIM-2026-06-03-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Cognitive Governance Intelligence Architecture (CLIA®)
Operational Layer: Cognitive Reasoning Governance Layer
Governed Space: Assumption Integrity
Category: AI & Interpretation
Subcategory: Assumption Governance
Type: Cognitive Reasoning Integrity Module
Parent Standard: Cognitive Reasoning Integrity Standard (CRIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 3 June 2026

Compatibility: OOF Methodology OS ·
Cognitive Reasoning Integrity Standard (CRIS) ·
Cognitive Interpretation Integrity Standard (CIIS) ·
Cognitive Integrity Standard (CIS) ·
Multi-Layer Truth Validation Framework (MTVF) ·
INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Assumption Integrity Module (AIM) defines the structural conditions
under which assumptions, implicit premises, inferred conditions, dependency beliefs,
estimated variables, and reasoning prerequisites remain identifiable, traceable, reviewable,
governable, and operationally valid throughout cognition and reasoning processes.

AIM governs assumptions.

The module ensures that cognition remains capable of recognizing what it assumes to be true
rather than treating assumptions as facts without visibility, validation, or governance awareness.

A system satisfies AIM only if:

• assumptions remain identifiable
• implicit premises remain discoverable
• assumption dependencies remain visible
• assumption validity remains assessable
• assumption drift remains detectable
• reasoning remains aware of its own assumptions

A cognition environment that cannot identify materially significant assumptions
does not satisfy AIM.

Module Operational Role

AIM defines the assumption-governance layer of CRIS.

Its role is to preserve visibility and accountability for the assumptions
underlying reasoning.

Module Operational Space

AIM governs:

• assumptions
• implicit premises
• reasoning prerequisites
• dependency beliefs
• estimated conditions
• assumption traceability
• assumption governance
• assumption validity

The module applies wherever reasoning depends on conditions
that are accepted without direct proof.

Module Function

The module applies wherever systems must preserve:

• assumption visibility
• premise accountability
• reasoning transparency
• assumption traceability
• governance-valid reasoning
• operationally reliable conclusions

Its function is to ensure that assumptions remain visible participants in reasoning
rather than hidden drivers of conclusions.

Minimum Implementation Framework

1. Define the Assumption Object
The organization must define which assumptions require governance.

This may include:

• strategic assumptions
• operational assumptions
• planning assumptions
• predictive assumptions
• environmental assumptions
• behavioral assumptions
• market assumptions
• autonomous reasoning assumptions

2. Define Assumption Integrity Conditions
The system must define the conditions under which assumptions remain valid.

This includes:

• identification requirements
• traceability requirements
• reviewability requirements
• dependency requirements
• validation requirements
• governance-valid assumption conditions

3. Define Assumption Degradation Detection Logic
The system must define how assumption degradation is identified.

This may include:

• hidden assumptions
• outdated assumptions
• unsupported assumptions
• assumption dependency failures
• premise inconsistency
• assumption drift

4. Define Operational Response or Governance Logic
The system must define governance logic for assumption-integrity failures.

Governance response may include:

• assumption review
• premise validation
• reasoning reassessment
• governance intervention
• escalation
• conclusion restriction
• operational invalidation where required

5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:

• assumptions
• premise changes
• validation reviews
• governance actions
• reasoning dependencies
• resulting conclusions

A cognition environment must not remain assumption-valid if materially significant assumptions
cannot be identified, reviewed, or governed.

Use Case 1 — Strategic Forecasting Environment

Scenario
An organization develops long-term strategic forecasts based on market conditions,
technological developments, and future operational expectations.

Application
AIM governs strategic assumptions, premise visibility,
and assumption traceability throughout forecasting activities.

Result
The organization gains stronger forecast transparency, improved reasoning accountability,
and reduced exposure to hidden premise failures.

Use Case 2 — Autonomous Planning Agent

Scenario
An autonomous planning system generates recommendations regarding future actions
under uncertain operational conditions.

Application
AIM governs the assumptions underlying planning logic
and ensures assumptions remain visible and reviewable.

Result
The environment gains stronger planning reliability, improved governance visibility,
and reduced risk of assumption-driven reasoning drift.

Canonical Closing Statement

Assumption Integrity Module (AIM) defines the structural conditions
under which assumptions, implicit premises, inferred conditions, dependency beliefs,
estimated variables, and reasoning prerequisites remain identifiable, traceable, reviewable,
governable, and operationally valid throughout cognition and reasoning processes.

Reasoning cannot remain valid when assumptions become invisible.
Assumption integrity therefore becomes a foundational integrity condition
of governable reasoning.