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AIGO — AI Governance Operating Framework

AI Change Management Template

Version: 0.1 Status: Draft Working Name: AIGO Full Name: AI Governance Operating Framework Document Identifier: AIGO-TPL-011 Document Type: AI Change Management Template Template Purpose: Controlled Identification, Assessment, Approval, Implementation, Validation, and Closure of AI Changes

1. Template Purpose

This template provides the controlled structure for governing changes to an AI system, AI component, AI-related data pipeline, AI control, AI process, or supporting service throughout the AIGO lifecycle. AI changes should be assessed for their potential effect on:
  • intended purpose;
  • users;
  • affected persons;
  • classification;
  • risk;
  • controls;
  • model behavior;
  • data;
  • security;
  • privacy;
  • fairness;
  • human oversight;
  • monitoring;
  • operational performance;
  • regulatory obligations;
  • third-party dependencies;
  • approval status.
This template establishes traceability between:
  • change request;
  • AI system;
  • lifecycle stage;
  • change classification;
  • impact assessment;
  • risk assessment;
  • control assessment;
  • testing;
  • evidence;
  • approval;
  • deployment;
  • monitoring;
  • rollback;
  • validation;
  • closure;
  • continual improvement.
This template does not replace the organization’s approved AIGO AI Change Management Procedure.

2. Change Management Instructions

Complete all applicable sections. Where information is not available, record: Pending — [reason] Where a field does not apply, record: Not Applicable — [reason] Material changes should not be implemented outside the applicable approved change-management process except where an authorized emergency process applies. Recommended identifiers include:
  • AI System ID;
  • Change ID;
  • Risk ID;
  • Control ID;
  • Test ID;
  • Evidence ID;
  • Approval ID;
  • Deployment ID;
  • Monitoring ID;
  • Incident ID;
  • Assurance ID;
  • Improvement ID.

3. Change Record

3.1 Identification

AI System ID: Change ID: Change Version: System Name: System Version Before Change: System Version After Change: Change Title: Change Owner: Change Requestor: System Owner: Business Owner: Technical Owner: Risk Owner: Date Requested: Target Implementation Date:

3.2 Change Status

Current Status:
  • Draft
  • Submitted
  • Under Assessment
  • Approved
  • Approved with Conditions
  • Scheduled
  • In Implementation
  • Deployed
  • Under Enhanced Monitoring
  • Validated
  • Closed
  • Rejected
  • Deferred
  • Suspended
  • Rolled Back
  • Cancelled
Status Effective Date: Status Rationale:

4. Change Objective and Background

4.1 Business Objective

Why is the change required?

4.2 Change Objective

What should the change achieve?

4.3 Background

Relevant Background:

4.4 Trigger

Select applicable trigger:
  • Business Requirement
  • Performance Improvement
  • Risk Treatment
  • Incident
  • Security Requirement
  • Privacy Requirement
  • Regulatory Change
  • Technology Upgrade
  • Model Upgrade
  • Data Change
  • Supplier Change
  • Control Improvement
  • Monitoring Finding
  • Assurance Finding
  • Corrective Action
  • Other
Trigger: Trigger Reference ID:

5. Change Description

5.1 Current State

Description of the current state:

5.2 Proposed State

Description of the proposed state:

5.3 Detailed Change

Describe exactly what will change:

5.4 Components Affected

Select applicable:
  • Model
  • Model Version
  • Training Data
  • Inference Data
  • Data Pipeline
  • Feature Engineering
  • Prompt / Configuration
  • Application
  • Infrastructure
  • API / Integration
  • User Interface
  • Human Oversight
  • Workflow
  • Control
  • Monitoring
  • Security
  • Privacy
  • Supplier
  • Business Process
  • Intended Purpose
  • Other
Affected Components:

6. Change Classification

6.1 Change Classification

Select applicable classification:
  • Minor
  • Standard
  • Significant
  • Material
  • Emergency
Proposed Classification:

6.2 Classification Criteria

The assessment should consider whether the change affects:
  • intended purpose;
  • affected persons;
  • decision significance;
  • automation;
  • model behavior;
  • model version;
  • data;
  • data sensitivity;
  • system architecture;
  • security;
  • privacy;
  • fairness;
  • safety;
  • human oversight;
  • risk;
  • controls;
  • monitoring;
  • suppliers;
  • regulatory obligations.
Applicable Criteria:

6.3 Classification Rationale

Rationale:

7. Change Scope

7.1 Organizational Scope

Business Units / Functions Affected:

7.2 Geographic Scope

Countries / Regions / Jurisdictions Affected:

7.3 User Scope

User Groups Affected:

7.4 Affected-Person Scope

Affected Persons / Groups:

7.5 Environment Scope

Affected Environments:
  • Development
  • Test
  • Staging
  • Production
  • Restricted Production
  • Other
Applicable Environments:

7.6 Exclusions

Areas Not Affected:

8. Intended-Purpose Assessment

8.1 Purpose Change

Does the change modify the intended purpose?
  • Yes
  • No
Description:

8.2 Intended Use Change

Does the change modify intended use?
  • Yes
  • No
Description:

8.3 Restricted / Prohibited Use

Does the change affect restricted or prohibited uses?
  • Yes
  • No
Description:

8.4 Governance Consequence

Governance consequence of purpose / use change:

9. AI Classification Impact

9.1 Current Classification

Current AIGO Classification:

9.2 Classification Impact

Could the change affect classification?
  • No
  • Yes
  • Reassessment Required

9.3 Classification Assessment

Classification Assessment ID: Assessment Result:

9.4 Reclassification Decision

Decision:
  • Classification Unchanged
  • Classification Increased
  • Classification Decreased
  • Reassessment Pending
Rationale:

10. Stakeholder and Affected-Person Impact

10.1 Stakeholders

10.2 Affected Persons

Affected-Person Impact:

10.3 Potential Harm

Potential New or Changed Harm:

10.4 Stakeholder Engagement

Required Engagement: Evidence IDs:

11. Business Impact Assessment

11.1 Business Impact

Assess impact on:
  • operations;
  • customers;
  • employees;
  • services;
  • financial performance;
  • business continuity;
  • contractual commitments;
  • reputation.
Business Impact:

11.2 Business Criticality

Impact Level:
  • Low
  • Medium
  • High
  • Critical
Rationale:

12. Technical Impact Assessment

12.1 Architecture Impact

Architecture Changes:

12.2 Model Impact

Model Changes:

12.3 Integration Impact

Integration Changes:

12.4 Infrastructure Impact

Infrastructure Changes:

12.5 Dependency Impact

Dependency Changes:

12.6 Technical Impact Rating

Impact:
  • Low
  • Medium
  • High
  • Critical
Rationale:

13. Data Impact Assessment

13.1 Data Changes

Does the change affect:
  • data sources;
  • data types;
  • data volume;
  • data sensitivity;
  • data pipelines;
  • data transformations;
  • data retention;
  • data access;
  • data quality.
Applicable Changes:

13.2 Data Sensitivity

Data Sensitivity Impact:
  • None
  • Low
  • Medium
  • High
  • Critical
Rationale:

13.3 Data Quality Impact

Data Quality Impact:

13.4 Data Governance Review

Data Governance Assessment ID: Result:

14. Model Impact Assessment

14.1 Model Version

Current Model: New Model:

14.2 Model Architecture

Architecture Change:

14.3 Model Behavior

Expected Behavioral Change:

14.4 Model Performance

Expected Performance Change:

14.5 Model Risk

Potential New or Changed Model Risks:

15. Security Impact Assessment

15.1 Security Impact

Security Impact:
  • None
  • Low
  • Medium
  • High
  • Critical
Rationale:

15.2 Security Changes

Security Changes:

15.3 Security Assessment

Security Assessment ID: Result:

16. Privacy Impact Assessment

16.1 Privacy Impact

Privacy Impact:
  • None
  • Low
  • Medium
  • High
  • Critical
Rationale:

16.2 Privacy Changes

Privacy Changes:

16.3 Privacy Assessment

Privacy Assessment ID: Result:

17. Fairness and Impact Assessment

17.1 Fairness Impact

Fairness Impact:
  • None
  • Low
  • Medium
  • High
  • Critical
Rationale:

17.2 Affected Groups

Affected Groups:

17.3 Fairness Testing Required

Required:
  • Yes
  • No
  • Pending
Rationale:

17.4 Impact Assessment Reference

Assessment ID:

18. Human Oversight Impact

18.1 Oversight Impact

Does the change affect human oversight?
  • No
  • Yes
  • Reassessment Required

18.2 Oversight Changes

Description:

18.3 Human Authority

Does the change alter who may challenge, override, approve, or reject AI outputs?

18.4 Oversight Testing

Testing Required:

19. Risk Assessment

19.1 Risk Assessment Reference

Risk Assessment ID: Assessment Date: Risk Owner:

19.2 New or Changed Risks

19.3 Risk Summary

Overall Pre-Change Risk: Overall Post-Change Risk:

19.4 Risk Treatment

Required Treatment:

20. Control Impact Assessment

20.1 Controls Affected

20.2 New Controls

New Controls Required:

20.3 Modified Controls

Modified Controls:

20.4 Retired Controls

Controls Proposed for Retirement:

20.5 Control Assessment Reference

Control Assessment ID:

21. Monitoring Impact

21.1 Monitoring Impact

Does the change affect monitoring?
  • No
  • Yes
  • Reassessment Required

21.2 New Indicators

New Monitoring Indicators:

21.3 Changed Thresholds

Changed Thresholds:

21.4 Enhanced Monitoring

Enhanced Monitoring Required:
  • Yes
  • No
Duration: Exit Criteria:

22. Incident and Historical Findings Review

22.3 Lessons Learned

Relevant Lessons Learned:

23. Third-Party and Supplier Impact

23.1 Supplier Changes

Supplier Change:

23.2 Supplier Impact

Impact:

23.3 Supplier Notification

Supplier Notification Required:

23.4 Supplier Assessment

Supplier Assessment ID: Result:

24. Testing and Validation Plan

24.1 Testing Objective

Objective:

24.2 Required Testing

Applicable testing may include:
  • functional;
  • regression;
  • performance;
  • fairness;
  • security;
  • privacy;
  • robustness;
  • resilience;
  • explainability;
  • human oversight;
  • integration;
  • data quality;
  • rollback.
Applicable Tests:

24.3 Test Plan

Test Plan ID: Test Owner: Test Environment:

24.4 Test Data

Test Data / Dataset Reference:

24.5 Test Exit Criteria

Exit Criteria:

25. Test Results

25.1 Test Conclusion

Overall Conclusion:

25.2 Outstanding Tests

Outstanding Testing:

26. Rollback Planning

26.1 Rollback Required

Rollback Capability Required:
  • Yes
  • No
  • Not Applicable

26.2 Rollback State

Approved Previous State / Version:

26.3 Rollback Procedure

Rollback Procedure Reference:

26.4 Rollback Conditions

Rollback may be required when:
  • material performance degradation occurs;
  • unacceptable risk emerges;
  • critical control fails;
  • material fairness deviation occurs;
  • serious incident occurs;
  • deployment causes unexpected behavior.
Applicable Conditions:

26.5 Rollback Validation

Rollback Tested: Evidence ID:

27. Change Approval

27.1 Required Reviews

27.2 Approval Authority

Approval Authority: Authority Basis:

27.3 Approval Decision

Decision:
  • Approved
  • Approved with Conditions
  • Deferred
  • Rejected
  • Suspended
Decision Date: Effective Date: Conditions:

28. Change Conditions

28.1 Condition Failure

Action if condition is not satisfied:

29. Deployment Planning

29.1 Deployment Strategy

Strategy:
  • Full Deployment
  • Phased Deployment
  • Pilot
  • Controlled Release
  • Shadow Deployment
  • Restricted Deployment
  • Emergency Deployment
  • Other
Selected Strategy:

29.2 Deployment Scope

Initial Deployment Scope:

29.3 Deployment Owner

Owner:

29.4 Deployment Schedule

Planned Deployment Date:

29.5 Deployment Dependencies

Dependencies:

30. Deployment Readiness

30.1 Readiness Assessment

Deployment Readiness:
  • Ready
  • Ready with Conditions
  • Not Ready
Rationale:

30.2 Readiness Checklist

  • Approval complete
  • Conditions satisfied or formally accepted
  • Required testing passed
  • Critical controls operational
  • Monitoring operational
  • Rollback available where required
  • Incident process ready
  • Human oversight ready
  • Security ready
  • Privacy requirements addressed
  • User training completed where required
  • Evidence captured

31. Deployment Record

Deployment ID: Change ID: System Version Deployed: Deployment Date: Deployment Owner: Authorized By: Deployment Status:
  • Planned
  • In Progress
  • Completed
  • Failed
  • Rolled Back
Deployment Evidence IDs:

32. Post-Deployment Validation

32.1 Validation Scope

Validation Scope:

32.2 Validation Period

Period:

32.3 Validation Indicators

32.4 Validation Conclusion

Conclusion:

33. Enhanced Monitoring After Change

33.1 Enhanced Monitoring Required

Yes / No:

33.2 Duration

Duration:

33.3 Monitoring Owner

Owner:

33.4 Exit Criteria

Exit Criteria:

34. Change Closure

34.1 Closure Criteria

The change should not be closed until applicable criteria are satisfied.
  • Approved
  • Deployment completed
  • Post-deployment validation completed
  • Monitoring completed
  • No unresolved critical issue
  • Required corrective actions completed
  • Required conditions satisfied
  • Evidence retained
  • Documentation updated
  • Residual risk assessed
  • Approval conditions verified

34.2 Closure Decision

Change Status:
  • Closed
  • Closed with Conditions
  • Deferred
  • Rejected
  • Rolled Back
  • Cancelled
Closure Rationale:

34.3 Closure Authority

Closure Authority: Closure Date:

35. Rollback Record

Complete when rollback occurs.

35.1 Rollback Trigger

Reason for Rollback:

35.2 Rollback Decision

Decision Authority: Decision Date:

35.3 Previous Approved State

Restored Version: Restored Configuration:

35.4 Rollback Validation

Validation Result:

35.5 Post-Rollback Actions

Actions:

36. Emergency Change

Complete where the change follows an authorized emergency process.

36.1 Emergency Reason

Reason:

36.2 Immediate Risk

Risk:

36.3 Emergency Authority

Authority: Authority Basis:

36.4 Emergency Controls

Controls:

36.5 Retrospective Review

Retrospective Review Required: Review Date: Reviewer: Outcome:

37. Change Evidence

37.1 Evidence Repository

Evidence Repository: Evidence Owner:

37.2 Evidence Register

37.3 Evidence Completeness

Evidence Status:
  • Complete
  • Substantially Complete
  • Partially Complete
  • Incomplete
Evidence Gaps:

37.4 Evidence Quality

Evidence Quality:
  • Strong
  • Adequate
  • Moderate
  • Weak
  • Insufficient
Rationale:

38. Change Traceability

The change should maintain links to relevant AIGO records.

39. Change Traceability Model


40. Continual Improvement

40.1 Lessons Learned

Lessons Learned:

40.2 Improvement Actions


41. Change Review and Approval

41.1 Prepared By

Name: Role: Date:

41.2 Reviewed By

Name: Role: Date:

41.3 Approved By

Name: Role: Date:

41.4 Final Decision

Decision:
  • Approved
  • Approved with Conditions
  • Deferred
  • Rejected
  • Rolled Back
  • Closed
Conditions:

42. Change Review Schedule

42.1 Post-Change Review

Review Frequency: Next Review Date: Review Owner:

42.2 Triggered Review

Review should be considered after:
  • post-deployment failure;
  • material incident;
  • unexpected model behavior;
  • monitoring threshold breach;
  • control failure;
  • residual-risk increase;
  • supplier change;
  • regulatory change.
Additional Triggers:

43. Change History


44. Change Completion Checklist

  • Change ID assigned
  • AI System ID identified
  • Change objective documented
  • Change trigger identified
  • Change description documented
  • Change classification completed
  • Scope defined
  • Intended purpose reviewed
  • Classification impact assessed
  • Stakeholder impact assessed
  • Business impact assessed
  • Technical impact assessed
  • Data impact assessed
  • Model impact assessed
  • Security impact assessed
  • Privacy impact assessed
  • Fairness impact assessed where applicable
  • Human oversight impact assessed
  • Risk assessment completed
  • Controls assessed
  • Monitoring impact assessed
  • Incident history reviewed
  • Assurance findings reviewed
  • Third-party impact assessed where applicable
  • Test plan approved
  • Required testing completed
  • Rollback capability assessed
  • Approval completed
  • Conditions recorded
  • Deployment strategy approved
  • Deployment readiness verified
  • Deployment completed
  • Post-deployment validation completed
  • Enhanced monitoring completed where required
  • Residual risk assessed
  • Evidence retained
  • Change formally closed
  • Lessons learned recorded
  • Related AIGO records linked

45. Template Usage Instructions

This template should be completed according to the organization’s approved AIGO AI Change Management Procedure. AI changes should be evaluated according to their potential governance impact rather than solely their technical size. A technically small change may still be a material AI change where it affects:
  • intended purpose;
  • affected persons;
  • model behavior;
  • data;
  • decision significance;
  • classification;
  • risk;
  • controls;
  • human oversight;
  • security;
  • privacy;
  • fairness;
  • monitoring;
  • applicable requirements.
Material changes should be assessed and approved before implementation unless an authorized emergency process applies. Where rollback is appropriate, the organization should maintain a defined and tested path to an approved prior state. Post-deployment monitoring should be treated as part of the change lifecycle rather than an optional activity.

46. Template Governance

46.1 Template Owner

Template Owner:

46.2 Template Review

Review Frequency: Next Review Date:

46.3 Template Change Control

Changes to this template should be managed through the applicable AIGO document and change-management process. Material changes should consider their effect on:
  • AI Change Management Procedure;
  • AI System Registration;
  • AI System Profile;
  • Classification;
  • Risk Assessment;
  • Control Assessment;
  • Approval;
  • Monitoring;
  • Incident Management;
  • Assurance;
  • Risk Acceptance;
  • Continuous Improvement;
  • schemas;
  • mappings;
  • tools.

47. Document Control


48. Template Status

Document: AIGO — AI Change Management Template Version: 0.1 Status: Draft Working Name: AIGO Full Name: AI Governance Operating Framework Document Identifier: AIGO-TPL-011 Document Type: AI Change Management Template This template provides the controlled structure for identifying, classifying, assessing, approving, testing, implementing, monitoring, validating, rolling back, closing, and improving changes to AI systems and their supporting governance environment.

49. End of Template

AIGO — AI Change Management Template Document ID: AIGO-TPL-011 Version: 0.1 Status: Draft End of Template