OriginID: OOF-OID-ASGA-ARTS-OTEM-2026-07-06-0002
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Autonomous Systems Governance Architecture
(ASGA™)
Operational Layer: Autonomous Operational Governance Layer
Governed Space: Operational Trust Evaluation
Category: Governance & Enforcement
Subcategory: Autonomous Operational Governance
Type: Autonomous Risk & Trust Standard Module
Parent Standard: Autonomous Risk & Trust Standard (ARTS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 6 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 Trust Evaluation Module (OTEM) defines the structural
conditions under which operational trust is evaluated, measured,
justified, and continuously reassessed throughout autonomous
operation.

OTEM governs operational trust evaluation.

The module establishes the governance conditions required to ensure
that confidence in autonomous operational actors remains
evidence-based, measurable, justified, and governance-valid.

Trust should not be assumed.

Trust should be continuously evaluated.

OTEM governs that evaluation.

Module Operational Role

OTEM defines the operational trust evaluation layer of ARTS.

Its role is to continuously evaluate whether autonomous operations
remain sufficiently trustworthy under current operational
conditions.

Module Operational Space

OTEM governs:

• operational trust evaluation,
• trust measurement,
• trust assessment,
• justified operational confidence,
• governance trust evaluation,
• trust verification,
• continuous trust assessment,
• operational trust governance.

Module Function

The module applies wherever organizations must continuously evaluate
the trustworthiness of autonomous operational actors and their
operations.

Minimum Implementation Framework

1. Define the Trust Evaluation Object

Identify which autonomous operational activities require continuous
trust evaluation.

2. Define Trust Evaluation Conditions

Establish governance conditions governing how operational trust is
measured and justified.

3. Define Trust Evaluation Failure Logic

Identify conditions where operational trust becomes unjustified,
degraded, unverifiable, or governance-invalid. 4. Define Governance
Response

Define governance actions for trust confirmation, operational
restriction, increased monitoring, escalation, or corrective
intervention.

5. Preserve Trust Traceability

Preserve trust evaluations, governance decisions, operational
evidence, trust history, and supporting documentation.

Use Case 1 — Autonomous Public Transport System

Scenario

An autonomous passenger transport system continuously operates
across a metropolitan transit network.

Application

OTEM continuously evaluates operational trust based on system
performance, governance compliance, and operational reliability.

Result

Public transportation remains supported by continuously justified
operational trust.

Use Case 2 — Multi-Agent Enterprise Environment

Scenario

Multiple autonomous AI agents collaborate to perform critical
enterprise operations.

Application

OTEM continuously evaluates trust in each operational actor
throughout coordinated execution.

Result

The organization maintains measurable, evidence-based trust across
the autonomous operational ecosystem.

Canonical Closing Statement

Trustworthy autonomy requires continuously justified trust.
Operational Trust Evaluation ensures that confidence in autonomous
operations remains measurable, evidence-based, and continuously
governed throughout the complete operational lifecycle.

→ Autonomous Risk & Trust Standard (ARTS)