AIGO — AI Governance Operating Framework
AI Continuous Improvement Template
Version: 0.1 Status: Draft Working Name: AIGO Full Name: AI Governance Operating Framework Document Identifier:AIGO-TPL-014
Document Type: AI Continuous Improvement Template
Template Purpose: Controlled Identification, Prioritization, Implementation, Verification, and Closure of AI Governance Improvements
1. Template Purpose
This template provides the controlled structure for identifying, evaluating, prioritizing, implementing, verifying, and closing improvements to AI governance, AI systems, processes, controls, monitoring, assurance, procedures, evidence, and organizational capability within the AIGO AI Governance Operating Framework. Continuous improvement should ensure that AIGO remains:- suitable;
- adequate;
- effective;
- risk-based;
- proportionate;
- evidence-based;
- responsive to incidents;
- responsive to assurance findings;
- responsive to organizational change;
- responsive to technological developments;
- responsive to regulatory developments;
- capable of improving governance outcomes.
- improvement opportunity;
- source;
- issue or observation;
- root cause;
- risk;
- control;
- governance requirement;
- improvement action;
- owner;
- priority;
- implementation;
- evidence;
- verification;
- effectiveness;
- management decision;
- lessons learned.
2. Improvement Instructions
Complete all applicable sections. Where information is not yet available, record: Pending — [reason] Where a field does not apply, record: Not Applicable — [reason] Each improvement should have a unique Improvement ID. Recommended identifiers include:- Improvement ID;
- AI System ID;
- Risk ID;
- Control ID;
- Finding ID;
- Incident ID;
- Change ID;
- Assurance ID;
- Management Review ID;
- Evidence ID;
- Action ID;
- Verification ID.
3. Improvement Record
3.1 Identification
Improvement ID: AI System ID: Improvement Version: Improvement Title: Improvement Type:- Governance
- Risk Management
- Control
- Monitoring
- Assurance
- Incident
- Change Management
- Process
- Procedure
- Documentation
- Evidence
- Technology
- Data
- Model
- Human Oversight
- Training / Capability
- Supplier / Third Party
- Regulatory / Compliance
- Strategic
- Other
- Proposed
- Under Assessment
- Approved
- Prioritized
- In Progress
- Implemented
- Under Verification
- Effective
- Closed
- Deferred
- Rejected
- Cancelled
4. Improvement Source
4.1 Source Type
Select applicable sources:- Management Review
- Risk Assessment
- Control Assessment
- Assurance
- Audit
- Incident
- Monitoring
- Change Management
- Stakeholder Feedback
- User Feedback
- Affected-Person Feedback
- Regulatory Change
- Legal Review
- Technology Development
- Model Evaluation
- Data Assessment
- Supplier Review
- Lessons Learned
- Maturity Assessment
- Strategic Review
- Other
4.2 Source Reference
Source Record ID:4.3 Related Sources
Related Source IDs:5. Improvement Opportunity
5.1 Observation
What was observed?5.2 Current Condition
Current State:5.3 Desired Condition
Desired Future State:5.4 Improvement Opportunity
Describe the improvement opportunity:5.5 Why Improvement Is Needed
Rationale:6. Problem and Root Cause
6.1 Problem Statement
Problem:6.2 Root Cause
Primary Root Cause:6.3 Contributing Causes
6.4 Root Cause Confidence
Confidence:- High
- Medium
- Low
- Preliminary
6.5 Temporary Measures
Temporary / Containment Measures Already Applied:7. Risk Relationship
7.1 Related Risks
7.2 Risk Reduction Objective
How the improvement is expected to reduce or manage risk:7.3 Expected Risk Outcome
Expected Risk After Improvement:8. Control Relationship
8.1 Related Controls
8.2 Control Improvement Objective
Control Objective:8.3 New or Modified Controls
Controls to be created or modified:9. Governance Relationship
9.1 Governance Area
Governance Area Affected:- Governance Structure
- Roles and Accountability
- Decision Authority
- Policy
- Lifecycle
- Risk
- Controls
- Monitoring
- Assurance
- Incident Management
- Change Management
- Approval
- Evidence
- Management Review
- Other
9.2 Governance Requirement
Requirement Affected:9.3 Governance Change
Required Governance Change:10. AI Lifecycle Impact
10.1 Affected Lifecycle Stages
- Govern
- Identify
- Classify
- Assess
- Treat
- Approve
- Deploy
- Operate
- Monitor
- Assure
- Improve
- Change
- Continue
- Retire
10.2 Lifecycle Impact
How the improvement affects the lifecycle:11. Stakeholder and Affected-Person Impact
11.1 Stakeholders
11.2 Affected Persons
Potential Impact on Affected Persons:11.3 Stakeholder Engagement
Required Engagement: Evidence IDs:12. Improvement Priority
12.1 Priority Factors
Priority should consider:- risk reduction;
- potential harm reduction;
- regulatory significance;
- control criticality;
- number of affected persons;
- urgency;
- recurrence;
- operational impact;
- strategic importance;
- cost;
- feasibility;
- dependency.
12.2 Priority
Priority:- Critical
- High
- Medium
- Low
13. Improvement Urgency
13.1 Urgency
Urgency:- Immediate
- Near-Term
- Planned
- Long-Term
13.2 Time Sensitivity
Time-Sensitive Requirement:14. Improvement Options
14.1 Options Considered
14.2 Selected Option
Selected Option:14.3 Selection Rationale
Rationale:15. Improvement Plan
15.1 Improvement Objective
Objective:15.2 Success Criteria
Success Criteria:15.3 Action Plan
16. Resources and Dependencies
16.1 Required Resources
People: Technology: Budget: Expertise:16.2 Dependencies
Dependencies:16.3 Dependency Owners
17. Implementation
17.1 Implementation Status
Status:- Not Started
- Planned
- In Progress
- Blocked
- Complete
17.2 Implementation Activities
Activities Completed:17.3 Implementation Evidence
Evidence IDs:17.4 Implementation Issues
Issues / Blockers:18. Change Management Relationship
18.1 Change Required
Does implementation require an AIGO change-management process?- Yes
- No
- To Be Determined
18.2 Change Record
Change ID:18.3 Change Classification
Change Classification:18.4 Change Approval
Approval Status:19. Risk During Implementation
19.1 Implementation Risk
Risks introduced by implementation:19.2 Temporary Risk
Temporary / Transitional Risk:19.3 Mitigating Controls
Controls:20. Verification Plan
20.1 Verification Required
Verification Required:20.2 Verification Objective
Objective:20.3 Verification Method
Potential methods include:- evidence review;
- testing;
- control assessment;
- monitoring;
- independent validation;
- assurance;
- interview;
- observation;
- performance comparison.
20.4 Verification Owner
Owner:20.5 Verification Date
Planned Date:21. Effectiveness Assessment
21.1 Effectiveness Criteria
The improvement should be assessed against:- original objective;
- success criteria;
- risk reduction;
- control effectiveness;
- stakeholder impact;
- operational performance;
- sustainability.
21.2 Effectiveness Result
Result:- Effective
- Partially Effective
- Ineffective
- Not Yet Determined
21.3 Evidence of Effectiveness
Evidence IDs:22. Risk Outcome
22.1 Risk Before Improvement
Risk Level Before Improvement:22.2 Risk After Improvement
Risk Level After Improvement:22.3 Risk Reduction
Risk Reduction Achieved:22.4 Residual Risk
Residual Risk:23. Control Outcome
23.1 Control Before Improvement
Control Effectiveness Before Improvement:23.2 Control After Improvement
Control Effectiveness After Improvement:23.3 Control Result
Result:- Improved
- Unchanged
- Partially Improved
- Deteriorated
24. Monitoring Outcome
24.1 Monitoring Impact
Monitoring Requirements Changed:24.2 Monitoring Indicators
24.3 Monitoring Result
Result:25. Stakeholder Outcome
25.1 Stakeholder Feedback
Feedback After Improvement:25.2 Affected-Person Outcome
Observed Outcome:25.3 Unintended Consequences
Unintended Consequences:26. Assurance and Independent Verification
26.1 Assurance Required
Assurance Required:26.2 Assurance Record
Assurance ID:26.3 Independent Verification
Independent Verification Required: Verification ID:26.4 Assurance Result
Result:27. Evidence
27.1 Evidence Repository
Evidence Repository: Evidence Owner:27.2 Evidence Register
27.3 Evidence Completeness
Evidence Status:- Complete
- Substantially Complete
- Partially Complete
- Incomplete
27.4 Evidence Quality
Evidence Quality:- Strong
- Adequate
- Moderate
- Weak
- Insufficient
28. Lessons Learned
28.1 Lessons
Lessons Learned:28.2 Reusable Improvements
Improvements That Could Be Applied Elsewhere:28.3 Framework Lessons
Lessons for AIGO Framework Development:29. Standardization and Reuse
29.1 Reusable Practice
Can the improvement become a standard practice?- Yes
- No
- Potentially
29.2 Template / Procedure Update
Does the improvement require changes to a template or procedure?- Yes
- No
29.3 Control Standardization
Should the improved control be applied across other AI systems?- Yes
- No
- Assess
30. Portfolio-Level Improvement
30.1 Other Systems Affected
Other AI Systems That May Benefit:30.2 Enterprise-Wide Impact
Organization-Wide Implications:30.3 Portfolio Action
Required Portfolio Action:31. Improvement Closure
31.1 Closure Criteria
The improvement should not be closed until applicable criteria have been satisfied.- Improvement objective defined
- Root cause assessed
- Action plan established
- Owner assigned
- Required resources identified
- Implementation completed
- Implementation evidence retained
- Verification completed
- Effectiveness assessed
- Risk outcome assessed
- Control outcome assessed
- Monitoring outcome assessed
- Stakeholder impact reviewed
- Unintended consequences reviewed
- Assurance completed where required
- Lessons learned recorded
- Required documents updated
- Required portfolio actions identified
- Management decision recorded
- Closure authority identified
32. Closure Decision
32.1 Status
Closure Status:- Closed
- Closed with Follow-Up
- Deferred
- Reopened
- Cancelled
32.2 Closure Rationale
Rationale:32.3 Closure Authority
Closure Authority: Closure Date: Closure Record ID:33. Follow-Up
33.1 Follow-Up Required
Follow-Up Required:33.2 Follow-Up Owner
Owner:33.3 Follow-Up Date
Date:33.4 Follow-Up Evidence
Evidence IDs:34. Management Review Relationship
34.1 Management Review Reference
Management Review ID:34.2 Review Decision
Management Decision:34.3 Management Conditions
Conditions:35. Improvement Traceability
The improvement should maintain links to the records that generated, support, and verify the improvement.36. Improvement Traceability Model
37. Improvement Review and Approval
37.1 Prepared By
Name: Role: Date:37.2 Reviewed By
Name: Role: Date:37.3 Approved By
Name: Role: Date:37.4 Decision
Decision:- Approved
- Approved with Conditions
- Returned for Revision
- Deferred
- Rejected
38. Improvement Review Schedule
38.1 Periodic Review
Review Frequency: Next Review Date: Review Owner:38.2 Triggered Review
Reassessment should be considered when:- effectiveness is uncertain;
- intended benefits are not achieved;
- risk changes;
- control performance deteriorates;
- incidents recur;
- new information becomes available;
- unintended consequences emerge;
- organizational context changes.
39. Improvement Change History
40. Improvement Completion Checklist
- Improvement ID assigned
- Source identified
- Observation documented
- Current condition documented
- Desired condition documented
- Root cause assessed
- Risk relationship documented
- Control relationship documented
- Governance relationship documented
- Lifecycle impact assessed
- Stakeholder impact assessed
- Priority assigned
- Urgency assessed
- Improvement options considered
- Selected option documented
- Objective established
- Success criteria established
- Action plan established
- Owner assigned
- Resources identified
- Dependencies identified
- Change-management requirements assessed
- Implementation completed
- Implementation evidence retained
- Verification plan completed
- Effectiveness assessed
- Risk outcome assessed
- Control outcome assessed
- Monitoring outcome assessed
- Stakeholder outcome reviewed
- Unintended consequences reviewed
- Assurance / independent verification completed where required
- Lessons learned recorded
- Standardization considered
- Portfolio impact considered
- Management review completed where required
- Closure decision recorded
- Follow-up requirements established
- Related AIGO records linked
41. Template Usage Instructions
This template should be completed according to the organization’s approved AIGO Continuous Improvement Procedure. Continuous improvement should address both:- correction of identified weaknesses; and
- proactive improvement of AI governance capability.
- risk reduction;
- control effectiveness;
- operational outcomes;
- stakeholder outcomes;
- incidents;
- monitoring;
- assurance;
- changes;
- management review;
- technology developments;
- regulatory developments.
- procedures;
- controls;
- templates;
- training;
- schemas;
- tools;
- governance requirements.
42. Template Governance
42.1 Template Owner
Template Owner:42.2 Template Review
Review Frequency: Next Review Date:42.3 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:- Continuous Improvement Procedure;
- Management Review;
- AI Risk Assessment;
- AI Control Assessment;
- Monitoring;
- Incident Management;
- Change Management;
- Assurance;
- Approval;
- Risk Acceptance;
- AI System Profile;
- schemas;
- mappings;
- tools.
43. Document Control
44. Template Status
Document: AIGO — AI Continuous Improvement Template Version: 0.1 Status: Draft Working Name: AIGO Full Name: AI Governance Operating Framework Document Identifier:AIGO-TPL-014
Document Type: AI Continuous Improvement Template
This template provides the controlled structure for identifying, prioritizing, implementing, verifying, evaluating, standardizing, and closing improvements across the AIGO AI Governance Operating Framework.
45. End of Template
AIGO — AI Continuous Improvement Template Document ID:AIGO-TPL-014
Version: 0.1
Status: Draft
End of Template