Education That Matter™ Standards Initiative
ETM AI Transformation Infrastructure Standards™
A public requirements baseline for accountable and sustainable AI-enabled operations.
Standardize the requirements. Customize the operational alignment. Govern the execution.
This standard establishes what organizations should have in place. It does not impose one operating model and does not disclose ETM’s proprietary assessment, scoring, implementation, validation, or enforcement methods.
Why This Standard Is Needed
Enterprise AI transformation is not complete when an organization purchases or deploys an AI platform. AI enters an operating environment made up of people, authoritative information, processes, systems, decisions, controls, records, and obligations.
Those conditions vary across industries, organizations, business functions, and individual workflows.
Technology infrastructure and operational infrastructure must advance in parallel. Technical safeguards and operational controls have distinct responsibilities and must work together.
ETM’s public draft separates standardized infrastructure requirements from organization-specific operational alignment.
The Governing Principle
Standardize the Requirements
Establish common expectations for authority, information, validation, accountability, execution, evidence, continuity, and improvement.
Customize the Alignment
Apply requirements to the organization’s industry, obligations, systems, workforce, business functions, and workflows.
Govern the Execution
Keep governance capable of affecting what happens during operation, including intervention before material consequence.
An AI system cannot create, expand, delegate, inherit, validate, or approve its own authority or the authority of another AI system.
Public Requirements Baseline
Public Draft v0.9-8 retains twelve outcome-level domains. The controlled PDF contains the authoritative requirement language.
Operational Alignment and Change Control
Requirements address controlled operational documentation, decision authority, documentation-to-execution consistency, third-party AI participation, and operational-impact review when AI capabilities change.
Every controlled document or artifact governing, supporting, authorizing, or providing evidence for an AI-affected process requires a documented alignment determination.
Revision is required when an identified impact makes existing documentation inadequate. AI participation alone does not require blanket revision.
Organizations should demonstrate that approved procedures, assigned responsibility, decision authority, required human controls, and actual execution remain consistent.
Material changes to AI capability, permissions, autonomy, integrations, or workflow participation require operational-impact review.
ETM’s document matrix, assessment classifications, process-tracing methods, implementation sequences, and proprietary architecture remain separately controlled.
Additional Requirements in the Current Draft
Knowledge and Cognitive Diversity
Section 5.13, KD 1 through KD 6: Preserve independent human judgment and organizational knowledge while AI participates in work.
External Operational Impact
Section 5.14, EOI 1 through EOI 6: Address affected stakeholders, accountability, transparency, confidentiality, and escalation.
Intellectual Property Stewardship
Section 5.15, IP 1 through IP 10: Establish governance expectations for content provenance, ownership, permitted use, and AI-related rights management.
Evidence-Based Trust and Production Validation
Section 5.16, EBT 1 through EBT 10: Distinguish evidence-backed technical reliability from operational suitability and accountable production authorization.
ETM uses AI as its primary technical and operational term. External references to “superintelligence,” “Super Intelligence,” or “SI” do not automatically redefine the standard or its requirements.
Applicable binding legal definitions remain controlling within their scope.
Section 5.16 – Evidence-Based Trust and Production Validation
Trust must be supported by verifiable evidence, validated methods, demonstrated performance, and accountable governance.
Scientific findings remain open to reassessment as new evidence develops.
Technical performance and operational authorization are distinct. The following outcome-level requirements describe organizational obligations without disclosing ETM proprietary validation methods.
| Requirement | Outcome-Level Obligation |
|---|---|
| EBT 1 | Organizations shall establish evidence-based criteria for trusting AI-enabled systems within their intended operational context. |
| EBT 2 | Material claims about AI capability, accuracy, safety, and reliability shall be supported by identifiable, relevant, and verifiable evidence. |
| EBT 3 | Organizations shall distinguish established scientific findings, validated technical results, assumptions, predictions, and opinions. |
| EBT 4 | AI-enabled systems shall undergo appropriate testing against documented operational requirements before authorization for production use. |
| EBT 5 | Validation shall account for intended use, foreseeable limitations, data quality, operating conditions, and material failure scenarios. |
| EBT 6 | Organizations shall distinguish technology-provider validation from their own responsibility to establish operational suitability. |
| EBT 7 | Production authorization shall be granted through defined organizational authority and shall not be independently established by the AI system being evaluated. |
| EBT 8 | Material changes in models, capabilities, integrations, workflows, or operating conditions shall trigger proportionate reassessment of continued operational trust. |
| EBT 9 | Organizations shall retain appropriate evidence of testing, validation findings, identified limitations, approval decisions, and material exceptions. |
| EBT 10 | Organizations shall maintain the capability to monitor, challenge, suspend, or withdraw production authorization when evidence no longer supports acceptable operation. |
The controlled PDF remains the authoritative standards document. This webpage is a public-facing summary and reference.
Use and Intellectual Property Boundary
© 2026 Education That Matter IP, LLC. All rights reserved.
This document is published for review, evaluation, citation, and public comment. The requirements and principles in Public Draft v0.9-8 may be cited with attribution to Education That Matter™.
No license is granted to modify, rebrand, commercialize, incorporate the document into another standard, or create derivative works without prior written permission.
The public Standard defines required conditions and outcomes. ETM’s assessment instruments, sequencing and prioritization methods, scoring, implementation procedures, validation methods, governance-control architecture, enforcement logic, technical configurations, and certification methods remain separately controlled.
This public draft is not a certification, legal opinion, regulatory determination, or guarantee of AI safety, performance, compliance, or organizational readiness.
Verify Document Integrity
SHA-256 for the consolidated v0.9-8 PDF generated for this release. Upload this exact PDF without alteration and verify the uploaded file matches this checksum.
If the PDF is regenerated or changed, recalculate the checksum before publishing.
Algorithm: SHA-256. Downloaded and printed copies are uncontrolled.
Companion ETM Resources
AI-Ready Document Management
ETM has developed an AI-ready DMS requirements framework and document-transformation procedures to support information and document integrity.
These resources are non-normative and do not alter the requirements, scope, or vendor-independent application of this public draft.
Version History
| Version | Status | Date | Change Summary |
|---|---|---|---|
| 0.9-8 | Current Public Draft | October 13, 2026 | Section 5.16: Evidence-Based Trust and Production Validation (EBT 1 through EBT 10). |
| 0.9-7 | Superseded Public Draft | October 13, 2026 | Section 5.15: Intellectual property stewardship and AI content rights (IP 1 through IP 10). |
| 0.9-6 | Superseded Draft | October 12, 2026 | Section 12 terminology clarification for AI and external references to superintelligence / SI. |
| 0.9-5 | Superseded Draft | October 4, 2026 | Knowledge and cognitive diversity (KD 1-KD 6) and stakeholder impact accountability (EOI 1-EOI 6) refinements. |
| 0.9-4 | Superseded Public Draft | October 2026 | Operational documentation alignment, authority consistency, execution evidence, third-party responsibility, and AI change-impact controls. |
| 0.9.2 | Superseded Public Draft | September 26, 2026 | Outcome-level requirements; detailed control interactions and authority provenance definition removed. |
| 0.9.1 | Superseded Public Draft | September 26, 2026 | Methodology boundary and conformance conditions clarified. |
| 0.9 | Superseded Public Draft | September 2026 | Initial cross-industry public requirements baseline. |
Prior copies remain historical records. Version 0.9-8 supersedes them as the current approved public draft upon publication.
Public Review
Submit a Comment on Public Draft v0.9-8
The first public comment period closes December 15, 2026. Identify the relevant section or requirement where possible and propose clarifying language.
Comments are routed to [email protected]. ETM may contact you for clarification using the email provided.
Submission does not create a consulting, certification, legal, or confidential relationship. Do not submit trade secrets, personal data about another person, security-sensitive information, or confidential client information.
Standards Development Path
Public Draft v0.9-8 → Public and Practitioner Review → Candidate Standard → Standard v1.0
Separate conformance framework and sector or function overlays will follow.
ETM will evaluate material comments, document changes, and publish updated status information on this page.