Skip to main content

AIGO — AI Governance Operating Framework

AI Control Assessment Template

Version: 0.1 Status: Draft Working Name: AIGO Full Name: AI Governance Operating Framework Document Identifier: AIGO-TPL-006 Document Type: AI Control Assessment Template Template Purpose: Controlled Assessment of AI Governance and Risk Controls

1. Template Purpose

This template provides the controlled structure for assessing the design, implementation, operation, effectiveness, evidence, and remediation of controls applicable to an AI system or AI governance process. The control assessment should establish traceability between:
  • AI system;
  • governance requirement;
  • risk;
  • control objective;
  • control;
  • control owner;
  • procedure;
  • control activity;
  • evidence;
  • design effectiveness;
  • implementation status;
  • operating effectiveness;
  • findings;
  • corrective action;
  • retesting;
  • residual risk;
  • assurance;
  • management decision.
A control assessment does not replace the organization’s approved AIGO AI Control Assessment Procedure.

2. Assessment Instructions

Complete all applicable sections. Where information is not available, record: Pending — [reason] Where a field does not apply, record: Not Applicable — [reason] Each material control should have a unique Control ID. Recommended identifiers include:
  • AI System ID;
  • Control Assessment ID;
  • Control ID;
  • Risk ID;
  • Procedure ID;
  • Evidence ID;
  • Finding ID;
  • Corrective Action ID;
  • Assurance ID;
  • Approval ID.
Control conclusions should be based on sufficient evidence and approved assessment criteria.

3. Assessment Record

3.1 Identification

AI System ID: Control Assessment ID: Assessment Version: Assessment Type:
  • Initial
  • Periodic
  • Triggered
  • Post-Incident
  • Post-Change
  • Reassessment
  • Pre-Approval
  • Post-Implementation
Assessment Status:
  • Draft
  • In Progress
  • Under Review
  • Approved
  • Approved with Conditions
  • Remediation Required
  • Closed
Assessment Owner: Lead Assessor: Control Owner: Reviewer: Approval Authority: Assessment Date: Effective Date: Next Review Date:

4. AI System Context

4.1 System Information

AI System Name: AI System Version: AI System Owner: Business Owner: Technical Owner: Current Lifecycle Stage: AIGO Classification:

4.2 Intended Purpose

Approved Intended Purpose:

4.3 Assessment Context

Context relevant to this control assessment:

5. Assessment Scope

5.1 Control Scope

Control / Control Family Being Assessed:

5.2 Lifecycle Scope

Select applicable stages:
  • Govern
  • Identify
  • Classify
  • Assess
  • Treat
  • Approve
  • Deploy
  • Operate
  • Monitor
  • Assure
  • Improve
  • Change
  • Continue
  • Retire
Applicable Lifecycle Stages:

5.3 Organizational Scope

Business Units / Functions Covered:

5.4 Geographic Scope

Jurisdictions / Locations Covered:

5.5 Exclusions

Excluded Controls / Activities: Exclusion Rationale:

6. Control Identification

6.1 Control Information

Control ID: Control Name: Control Family: Control Type:
  • Preventive
  • Detective
  • Corrective
  • Directive
  • Compensating
  • Other
Control Criticality:
  • Low
  • Medium
  • High
  • Critical

6.2 Control Objective

Control Objective:

6.3 Control Requirement

Requirement Addressed:

6.4 Control Description

Describe what the control requires or does:

6.5 Control Frequency

Control Frequency:
  • Continuous
  • Real-Time
  • Daily
  • Weekly
  • Monthly
  • Quarterly
  • Annual
  • Event-Driven
  • Other
Frequency Rationale:

7. Control Ownership

7.1 Control Owner

Control Owner: Role / Position: Accountability:

7.2 Control Performer

Control Performer(s):

7.3 Control Reviewer

Control Reviewer:

7.4 Control Approval Authority

Approval Authority:

7.5 Segregation of Duties

Segregation-of-Duties Requirements:

8. Risk Relationship

8.1 Risks Addressed

8.2 Risk Treatment Relationship

How the control reduces or manages the identified risk:

8.3 Residual Risk Relationship

Expected contribution to residual-risk reduction:

9. Procedure Relationship

9.1 Applicable Procedure

Procedure Name: Procedure ID / Reference:

9.2 Control Activity

How the procedure operationalizes the control:

9.3 Control Execution

Describe how the control is performed:

9.4 Control Execution Evidence

Evidence generated by control execution:

10. Control Design Assessment

Control design assessment determines whether the control, if implemented and operated as specified, is capable of achieving its objective.

10.1 Design Criteria

Assess:
  • clear objective;
  • risk alignment;
  • defined ownership;
  • appropriate frequency;
  • appropriate authority;
  • appropriate coverage;
  • appropriate segregation;
  • defined exception handling;
  • defined escalation;
  • defined evidence.

10.2 Design Assessment

Design Rating:
  • Effective
  • Partially Effective
  • Ineffective
  • Not Assessed
Design Rationale:

10.3 Design Gaps

Identified Design Gaps:

11. Control Implementation Assessment

11.1 Implementation Status

Implementation Status:
  • Fully Implemented
  • Substantially Implemented
  • Partially Implemented
  • Not Implemented
  • Not Verified

11.2 Implementation Evidence

Implementation Evidence:

11.3 Implementation Gaps

Implementation Gaps:

12. Control Operating Effectiveness

12.1 Operating Assessment

Operating Effectiveness:
  • Effective
  • Partially Effective
  • Ineffective
  • Not Tested

12.2 Operating Period

Assessment Period:

12.3 Operating Evidence

Evidence of Actual Operation:

12.4 Operating Exceptions

Exceptions Identified:

12.5 Operating Rationale

Rationale:

13. Evidence Assessment

13.1 Evidence Requirements

The assessment should determine whether evidence demonstrates:
  • what was performed;
  • who performed it;
  • when it was performed;
  • what result was obtained;
  • whether exceptions occurred;
  • how exceptions were handled.

13.2 Evidence Quality

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

13.3 Evidence Characteristics


14. Control Testing

14.1 Testing Method

Applicable methods may include:
  • inquiry;
  • observation;
  • inspection;
  • walkthrough;
  • reperformance;
  • technical testing;
  • sample testing;
  • data analysis;
  • automated testing;
  • independent validation.
Testing Methods Used:

14.2 Test Plan

Test Plan ID: Test Objective:

14.3 Test Procedures

Test Procedures:

14.4 Test Population

Population:

14.5 Sample

Sample Size: Sampling Method: Sampling Rationale:

15. Test Results

15.1 Test Conclusion

Overall Test Conclusion:

16. Control Assessment Rating

16.1 Rating Scale

16.2 Overall Control Rating

Overall Rating:
  • Effective
  • Partially Effective
  • Ineffective
  • Not Implemented
  • Not Tested
Overall Rationale:

17. Control Maturity

Where appropriate, assess control maturity. Control Maturity Level: Maturity Rationale:

18. Control Findings

18.1 Findings Register

18.2 Finding Severity


19. Individual Control Finding

19.1 Finding Identification

Finding ID: Control ID: Finding Title: Severity:

19.2 Criterion

Expected Requirement / Criterion:

19.3 Condition

Observed Condition:

19.4 Evidence

Supporting Evidence:

19.5 Cause

Root Cause / Contributing Cause:

19.6 Risk

Potential Risk / Impact:

19.7 Recommendation

Recommended Action:

20. Corrective Action

20.1 Corrective Action Record

Corrective Action ID: Finding ID: Action Owner: Priority: Target Date: Status:

20.2 Action

Corrective Action:

20.3 Root Cause Response

How the action addresses the root cause:

20.4 Required Evidence

Closure Evidence Required:

21. Corrective Action Tracking


22. Retesting and Effectiveness Verification

22.1 Retest Required

Retest Required:

22.2 Retest ID

Retest ID:

22.3 Retest Method

Retest Method:

22.4 Retest Result

Result:
  • Effective
  • Partially Effective
  • Ineffective
  • Not Complete
Result Rationale:

22.5 Corrective Action Effectiveness

Is the corrective action effective?
  • Yes
  • Partially
  • No
  • Not Yet Determined
Effectiveness Rationale:

23. Residual Risk

23.1 Risk Before Assessment

Risk Level Before Control Assessment:

23.2 Risk After Control Assessment

Residual Risk Level:

23.3 Control Contribution

How the control contributes to residual-risk reduction:

23.4 Risk Acceptance

Risk Acceptance Required: Risk Acceptance Record ID: Acceptance Authority:

24. Control Exceptions

24.1 Exception

Exception ID: Control Requirement: Reason for Exception: Risk: Compensating Controls: Requested Duration: Owner: Approval Authority:

24.2 Exception Monitoring

Monitoring Requirements: Review Date: Expiry Date:

25. Control Monitoring

25.1 Monitoring Requirements

Control Monitoring Method: Monitoring Frequency: Monitoring Owner:

25.2 Control Indicators

25.3 Threshold Breach

Threshold Breach Process:

26. Control Change Assessment

26.1 Changes Affecting Control

Recent or Planned Changes:

26.2 Change Impact

Impact on Control Design / Operation:

26.3 Reassessment Requirement

Control Reassessment Required:
  • Yes
  • No
  • Pending
Rationale:

27. Lifecycle Assessment

Assess the control across relevant AIGO lifecycle stages.

28. Control Dependencies

28.1 Upstream Dependencies

Controls / Processes Required Before This Control:

28.2 Downstream Dependencies

Controls / Processes Depending on This Control:

28.3 Shared Controls

Shared Controls / Common Services:

29. Control Evidence Profile

29.1 Evidence Repository

Evidence Repository: Evidence Owner:

29.2 Evidence Register

29.3 Evidence Gaps

Evidence Gaps:

30. Assurance Relationship

30.1 Assurance Requirements

Assurance Applicable: Assurance Frequency: Assurance Owner:

31. Incident Relationship

31.2 Incident-Driven Reassessment

Did an incident trigger this assessment?
  • Yes
  • No
Incident Reference:

32. Change Relationship

32.2 Change-Driven Reassessment

Did a change trigger this control assessment?
  • Yes
  • No
Change Reference:

33. Control-to-Risk Traceability

33.1 Traceability Matrix


34. Control-to-Lifecycle Traceability


35. Control-to-Evidence Traceability


36. Management Review

36.1 Management Review Required

Required:

36.2 Review Reference

Review ID: Review Date:

36.3 Management Review Outcome

Outcome:

36.4 Management Actions

Actions:

37. Overall Assessment Conclusion

Overall Control Assessment Conclusion:

37.1 Key Strengths

37.2 Key Weaknesses

37.3 Key Findings

37.4 Residual Risk Position

Residual Risk Position:

37.5 Recommendation

Recommended Governance Decision:

38. Assessment Approval

38.1 Prepared By

Name: Role: Date:

38.2 Reviewed By

Name: Role: Date:

38.3 Approved By

Name: Role: Date:

38.4 Approval Decision

Decision:
  • Approved
  • Approved with Conditions
  • Remediation Required
  • Deferred
  • Rejected
Conditions:

39. Assessment Review Schedule

39.1 Periodic Review

Review Frequency: Next Review Date: Review Owner:

39.2 Triggered Reassessment

Reassessment should be considered following:
  • material incidents;
  • significant control failures;
  • material AI-system changes;
  • risk changes;
  • monitoring threshold breaches;
  • regulatory changes;
  • assurance findings;
  • changes in control ownership;
  • changes in operating environment.
Additional Triggers:

40. Assessment Change History


41. Assessment Traceability

The control assessment should maintain links to relevant AIGO records.

42. Control Assessment Completion Checklist

  • Assessment ID assigned
  • AI System ID identified
  • Control ID identified
  • Control objective documented
  • Control owner assigned
  • Risk relationships documented
  • Procedure relationship documented
  • Assessment scope defined
  • Lifecycle scope defined
  • Control design assessed
  • Implementation status assessed
  • Operating effectiveness assessed
  • Evidence reviewed
  • Evidence quality assessed
  • Testing method documented
  • Test population identified
  • Sampling method documented where applicable
  • Test results recorded
  • Overall control rating assigned
  • Control maturity assessed where applicable
  • Findings documented
  • Root causes assessed
  • Corrective actions assigned
  • Retesting requirements determined
  • Residual risk assessed
  • Risk acceptance assessed
  • Exceptions documented where applicable
  • Monitoring requirements defined
  • Change relationship reviewed
  • Incident relationship reviewed
  • Assurance relationship reviewed
  • Evidence gaps recorded
  • Management review completed where required
  • Assessment approved
  • Next review date established
  • Related AIGO records linked

43. Template Usage Instructions

This template should be completed according to the organization’s approved AIGO AI Control Assessment Procedure. Control assessments should evaluate more than documentation existence. The assessor should determine whether the control is:
  • appropriately designed;
  • implemented;
  • operating;
  • supported by sufficient evidence;
  • effective in addressing the applicable risk or requirement.
A control should not be rated effective solely because a procedure or policy exists. Where deficiencies are identified, the assessment should establish:
  • finding;
  • root cause;
  • risk;
  • corrective action;
  • owner;
  • target date;
  • evidence;
  • retest;
  • effectiveness conclusion.
Control assessments should be repeated when material risks, systems, processes, controls, suppliers, regulations, or operating environments change.

44. Template Governance

44.1 Template Owner

Template Owner:

44.2 Template Review

Review Frequency: Next Review Date:

44.3 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 Control Assessment Procedure;
  • Governance Controls;
  • Risk Assessment;
  • AI System Profile;
  • AI System Registration;
  • Approval;
  • Monitoring;
  • Assurance;
  • Incident Management;
  • Change Management;
  • Risk Acceptance;
  • schemas;
  • mappings;
  • tools.

45. Document Control


46. Template Status

Document: AIGO — AI Control Assessment Template Version: 0.1 Status: Draft Working Name: AIGO Full Name: AI Governance Operating Framework Document Identifier: AIGO-TPL-006 Document Type: AI Control Assessment Template This template provides the controlled structure for assessing AI governance and risk controls, including design, implementation, operation, evidence, effectiveness, findings, corrective action, retesting, residual risk, and assurance.

47. End of Template

AIGO — AI Control Assessment Template Document ID: AIGO-TPL-006 Version: 0.1 Status: Draft End of Template