SOP-1001-01-AI_Document-Governance-and-AI-IRB-Compliance
Title: Document Governance and AI-IRB Compliance
Effective Date: InsertDateInsert DateInsertDate
Previous Version: None
Reason for Update: New SOP for AI-SDLC Document Governance
Owner: AI Document Governance Team
Location: InsertLocation/RepositoryInsert Location/RepositoryInsertLocation/Repository
Signature/Date: AuthorizedSignatureandDateAuthorized Signature and DateAuthorizedSignatureandDate
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1. Objective
This Standard Operating Procedure (SOP) defines and governs the creation, review, approval, control, storage, and archival of all documentation required in the AI-SDLC (Artificial Intelligence Systems Development Life Cycle). Given the heightened oversight for AI solutions, this SOP also incorporates AI-IRB (AI Institutional Review Board) compliance checks and approvals for any sensitive or high-risk AI systems.
Key goals:
- Ensure standardized document governance across all AI-related projects.
- Integrate AI-IRB regulatory requirements into the documentation lifecycle.
- Maintain clear traceability from concept through post-implementation.
- Protect confidentiality, integrity, and availability of project documents.
2. Scope
This SOP applies to all individuals involved in producing, reviewing, or managing project-related documentation in the AI-SDLC. It encompasses:
- Internal: Project proposals, charters, system requirements, design specifications, test plans, user manuals, training guides, etc.
- External: Any client or stakeholder deliverables, AI-IRB submissions, compliance checklists, etc.
- Lifecycle: From Gate 12 (Project Start) to Gate 0 (General Availability) and through post-implementation activities.
All documents must adhere to the processes in this SOP to maintain compliance with regulatory, AI-IRB, and corporate governance standards.
3. Applicable To
- AI-IRB (Regulatory Oversight for AI Projects)
- Senior Management (Strategic approval and resource allocation)
- Project Sponsor (Overall project oversight)
- AI-PMO (AI Program Management Office)
- Product Manager (Business and user requirement documentation)
- Program Manager (Cross-functional alignment of documentation requirements)
- Project Manager (Day-to-day doc compliance)
- Development (Technical design, code, unit/integration tests documentation)
- Quality Assurance (QA) (Test plans, traceability, release sign-off documentation)
- Operations (Deployment, environment config documentation)
- Technical Support (User guides, release notes, training materials)
- Any other staff contributing to or reviewing AI-SDLC documents
4. Definitions
| Term | Definition |
|---|---|
| Document | Any written, graphic, or digital artifact capturing information relevant to AI-SDLC (e.g., requirements, designs). |
| Document Owner | The individual, team, or Authorized AI Agent responsible for creating and maintaining a specific document. |
| Authorized AI Agent | An AI system or autonomous agent granted specific governance privileges, approved by the AI-IRB. |
| Document Control | The process of systematic creation, review, approval, distribution, revision, and archival of documents. |
| AI-IRB | AI Institutional Review Board ensuring compliance with ethical, legal, and safety standards for AI projects. |
| Revision | Any version update to a document triggered by change requests, new data, or continuous improvements. |
| Repository | The official location (physical or digital) where documents are stored for version control and retrieval. |
5. Roles and Responsibilities
| Role | Responsibilities |
|---|---|
| AI Document Governance Team | Oversees the entire document control process, ensures AI-IRB compliance, manages templates, and performs periodic audits. |
| AI-IRB | Reviews AI-related documentation for ethical, compliance, and safety concerns. Approves or mandates changes before release. |
| Senior Management | Provides strategic direction. Sponsors any large-scale changes to the document governance framework. |
| Project Sponsor | Champions the project and ensures document compliance at key milestones. |
| AI-PMO | Monitors overall project documentation progress, escalates issues, and ensures alignment with organizational standards and budgets. |
| Program/Project Manager | Ensures the creation, review, and final approval of project documents. Coordinates cross-functional sign-offs. |
| Development | Authors technical design docs, code architecture docs, integration detail docs, and responds to QA or IRB documentation feedback. |
| Quality Assurance | Reviews test strategies, test results, and ensures all necessary doc updates are made before gating to next phase. |
| Operations | Prepares environment configs and deployment records. Reviews final install documents. |
| Technical Support | Creates user guides, release notes, and training materials. Coordinates user documentation reviews with QA, Dev, and PM. |
6. Metrics
- Document Review Cycle Time
- Definition: Average number of business days from doc submission to final approval.
- Goal: Less than 5 days for standard documents, or as specified by the AI-IRB for high-risk AI projects.
- Revision Accuracy
- Definition: Ratio of documents accepted on first revision vs. total documents submitted.
- Goal: 80% first-approval rate to minimize rework.
- AI-IRB Compliance Turnaround
- Definition: Time from AI-IRB submission to AI-IRB decision.
- Goal: Adhere to IRB-specified window (often 10–15 business days).
- Audit Findings
- Definition: Number and severity of non-conformities found in periodic doc governance audits.
- Goal: 0 major findings; minor findings resolved within 2 weeks.
7. Procedure Activities
7.1 Document Creation
- Initiate
- The Document Owner identifies the need for a new or revised document. This trigger may originate from human insight, AI-driven gap analysis, or recursive self-improvement subroutines.
- The Document Owner consults the AI Document Governance Team for the correct template and relevant compliance notes (including AI-IRB concerns if the doc addresses high-risk AI functionality).
- Draft
- The Document Owner creates the draft using official templates (Word, Markdown, or other standard).
- Incorporate any references to AI-IRB guidelines or approvals if the project has a risk classification above the standard threshold.
- Internal Review
- Circulate draft among relevant internal reviewers. For AI-generated content or high-risk algorithms, an Exochain Peer Review cycle is mandatory to validate code integrity and logic.
- Incorporate feedback. Record major change reasons in the doc’s revision history.
- AI-IRB Review (if applicable)
- If doc addresses ethically or regulatory sensitive aspects, the Document Owner must submit it to the AI-IRB.
- The AI-IRB either:
- Approves, or
- Requests modifications, or
- Rejects with rationale
- The Document Owner updates the doc and repeats this step until the AI-IRB approves.
- Approval
- The Document Owner routes the final draft for sign-off by the designated Approver(s), typically the Project Manager, QA lead, or an SME.
- Ensure that any pending changes are merged before sign-off.
- Version Assignment
- Once approved, the doc is assigned a version number and an effective date.
- The doc moves into the official repository.
7.2 Document Revision/Change Control
- Change Trigger
- A new requirement, a bug fix, an AI-IRB directive, or any project pivot triggers doc revision.
- The Document Owner opens a doc revision request, referencing the existing doc version.
- Update
- The Document Owner updates relevant sections.
- If the doc is high-level or affects external AI compliance, the AI-IRB might be consulted again.
- Review and Approval
- Repeat the same review cycle.
- The doc obtains a new revision number upon final approval.
7.3 Document Distribution
- The AI Document Governance Team ensures the final version is posted to the official repository.
- All relevant stakeholders are notified (automatic or manual notifications).
- Old versions are archived or marked superseded to prevent confusion.
7.4 Records Management
- Documents remain accessible in the repository for reference, audits, or AI-IRB inspections.
- Retention periods are as mandated by legal, regulatory, or AI-IRB requirements.
- Disposal or permanent archiving occurs only after fulfilling all retention obligations.
7.5 Audits and Reviews
- Periodic Audits: The AI Document Governance Team audits documents for compliance, version accuracy, and adherence to review cycles.
- Spot Checks: The AI-IRB or compliance group can request random checks.
- Post-Implementation Review: After major AI project releases, the Document Governance Team collects feedback to refine doc governance procedures.
8. Forms
No new forms introduced in this SOP. The following standard forms or templates (maintained by the AI Document Governance Team) may be referenced:
- Document Creation Template
- AI-IRB Submission Form
- Document Revision Request
- Document Approval Sign-off Sheet
9. Exemptions
- Minor editorial changes (typos, formatting) that do not impact content or compliance do not require a full review cycle.
- Projects with a “low-risk AI classification” and no personal data usage may skip AI-IRB submission steps (unless new data or scope changes the risk classification).
10. Tools/Software/Technology Used
| Tool/Software | Purpose |
|---|---|
| AI Document Repository | Central storage of SOPs, project docs, approvals |
| Doc Version Control | Tracks changes, merges, and approvals |
| AI-IRB Portal | Submits relevant docs for IRB approval |
| Office Suite/Editors | Creation and editing of doc templates |
Revision History
| Version | Date | Author | Change Description |
|---|---|---|---|
| 1.0 | DateDateDate | AI Document Governance Team | Initial Release |
Approval Signatures
| Role | Name | Signature | Date |
|---|---|---|---|
| AI Document Gov. Lead | NameNameName | SignatureSignatureSignature | DateDateDate |
| AI-IRB Representative | NameNameName | SignatureSignatureSignature | DateDateDate |
| Project Manager | NameNameName | SignatureSignatureSignature | DateDateDate |
| Senior Management | NameNameName | SignatureSignatureSignature | DateDateDate |
End of SOP 1001-01-AI
@startuml
’ Optional styling
skinparam monochrome false
skinparam shadowing false
skinparam boxPadding 10
skinparam sequenceArrowThickness 1
skinparam sequenceParticipantBoxBackgroundColor #FFFFFF
’ Define Participants
participant “AI Document Governance Team” as GOV
participant “Document Owner” as OWNER
participant “AI-IRB” as IRB
participant “Project Manager” as PM
participant “Quality Assurance” as QA
participant “Operations” as OPS
’ 1. Document need identified
OWNER -> OWNER: “Identify need for new or revised document”
’ 2. Request official template
OWNER -> GOV: “Request official template/guidelines”
GOV -> OWNER: “Send template, compliance guidance”
’ 3. Document Owner drafts content
OWNER -> OWNER: “Draft doc using official template”
OWNER -> OWNER: “Collect SME inputs, add references”
’ 4. Internal Review
OWNER -> PM: “Submit draft for internal review”
PM -> OWNER: “Review, provide feedback”
OWNER -> QA: “Optional SME review (technical correctness)“
QA -> OWNER: “Comments, minor edits”
’ 5. AI-IRB check
OWNER -> OWNER: “Check if doc addresses high-risk AI feature?“
alt High-Risk Content
OWNER -> IRB: “Submit doc to AI-IRB”
IRB -> IRB: “Review doc for legal/ethical compliance”
alt Approved
IRB -> OWNER: “Doc accepted by AI-IRB”
else Changes Requested
IRB -> OWNER: “Revise doc & re-submit”
OWNER -> OWNER: “Incorporate changes, re-submit to AI-IRB”
IRB -> OWNER: “Doc accepted”
end
else No High-Risk
OWNER -> OWNER: “No AI-IRB submission needed”
end
’ 6. Final Approval
OWNER -> PM: “Send final doc for sign-off”
PM -> QA: “Sign-off on final content?”
QA -> OPS: “Sign-off on operational aspects?”
OPS -> PM: “Sign-off completed”
’ 7. Versioning & Release
PM -> GOV: “Notify doc is fully approved”
GOV -> GOV: “Assign new version, mark old as superseded”
GOV -> GOV: “Publish final doc to repository”
’ 8. Periodic Review
GOV -> OWNER: “Periodic review needed (12 months or triggered event)“
OWNER -> OWNER: “Assess if update is required”
alt Update needed?
OWNER -> OWNER: “Initiate Revision”
else No update needed
OWNER -> GOV: “No change, confirm doc remains current”
end
’ 9. Audits & Archival
GOV -> GOV: “Conduct doc compliance audits”
GOV -> PM: “Report any major findings”
PM -> OWNER: “Address findings, revise doc if needed”
GOV -> GOV: “Archive docs per retention policy”
@enduml
Diagram Explanation
The above PlantUML diagram uses six swim lanes (AI Document Governance Team, Document Owner, AI-IRB, Project Manager, Quality Assurance, and Operations) to illustrate the SOP-1001-01-AI document lifecycle. It starts with identifying the need for a new or updated document, proceeds through drafting, review, and AI-IRB evaluation for high-risk AI content, then final approval and versioning. After distribution, the process covers periodic review, potential updates, and eventually archival. Decision points (if/else) highlight whether AI-IRB submission is required (for high-risk AI features) and if any post-approval updates are necessary.