LCLifecycle governance
TA-14 AI GOVERNANCE LIBRARY
AI Governance Lifecycle
Explore the responsibilities, evidence, authorities, decisions, and execution boundaries required to govern an AI system from initial planning through controlled retirement and final record preservation.
LIFECYCLE CONTROL DESK
Governance must remain continuous from intent to retirement.
A system does not remain governed merely because it was once approved. Evidence, authority, context, risk, performance, configuration, and operating conditions can change throughout the lifecycle.
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GP
01
Lifecycle stageBefore Development
Governance Planning
Establish governance policies, objectives, roles, authorities, boundaries, and accountability before AI development begins.
Governance objective
Define the conditions under which the system may be designed, evaluated, approved, operated, challenged, changed, and retired.
Primary responsibilities5 controls
◆Define intended purpose and prohibited uses
◆Assign accountable owners and decision authorities
◆Establish risk, evidence, and assurance requirements
Required evidence
Governance CharterAuthority MatrixIntended-Purpose RecordApplicability AssessmentLifecycle Control Plan
Governing decisionAuthorize governed development
DD
02
Lifecycle stageSystem Creation
Design & Development
Apply governance requirements during architecture, data preparation, model development, integration, and control design.
Governance objective
Ensure governance is engineered into the system rather than added after technical decisions have already been made.
Primary responsibilities5 controls
◆Bind requirements to system architecture
◆Preserve data provenance and transformation history
◆Document assumptions, dependencies, and limitations
Required evidence
Architecture RecordData Provenance RecordDesign Decision LogControl Implementation EvidenceVersion History
Governing decisionAuthorize validation
VA
03
Lifecycle stagePre-Deployment
Validation & Approval
Verify readiness through testing, risk review, documentation, independent challenge, and execution authorization.
Governance objective
Determine whether available evidence supports admissibility for the declared purpose, environment, users, and operating boundaries.
Primary responsibilities5 controls
◆Test performance against declared thresholds
◆Validate safety, security, robustness, and fairness
◆Review unresolved limitations and residual risk
Required evidence
Validation PlanTest ResultsResidual Risk RecordIndependent ReviewApproval Decision
Governing decisionAuthorize or withhold deployment
DP
04
Lifecycle stageControlled Release
Deployment
Release AI systems with approved configuration, documented controls, monitoring, rollback capability, and preserved evidence.
Governance objective
Ensure the system entering operation is the same governed system that was reviewed and approved.
Primary responsibilities5 controls
◆Verify approved model, data, and configuration
◆Bind deployment to authorized environments
◆Activate monitoring and incident controls
Required evidence
Deployment PackageConfiguration RecordRelease AuthorizationMonitoring Activation RecordRollback Verification
Governing decisionCommit controlled release
OM
05
Lifecycle stageRuntime Governance
Operations & Monitoring
Continuously monitor performance, incidents, drift, authority, compliance, execution integrity, and operational outcomes.
Governance objective
Maintain admissibility after deployment by detecting changes that could invalidate prior evidence, assumptions, or approvals.
Primary responsibilities5 controls
◆Monitor performance and operating conditions
◆Detect model, data, policy, and context drift
◆Preserve decisions, interventions, and outcomes
Required evidence
Runtime Execution RecordMonitoring RecordDrift AssessmentIncident RecordRevalidation Decision
Governing decisionContinue, restrict, suspend, or escalate
CR
06
Lifecycle stageControlled Modification
Change & Revalidation
Govern updates to models, data, integrations, policies, thresholds, environments, and operating purpose.
Governance objective
Prevent material changes from bypassing the evidence, authority, testing, and approval conditions that governed the original system.
Primary responsibilities5 controls
◆Classify the materiality of each proposed change
◆Identify affected controls and prior approvals
◆Repeat required testing and risk review
Required evidence
Change RequestImpact AssessmentUpdated Test EvidenceReapproval RecordConfiguration Baseline
Governing decisionAuthorize modified operation
IR
07
Lifecycle stageException Governance
Incident Response
Detect, contain, investigate, correct, report, and learn from failures, anomalies, misuse, harm, or governance breakdowns.
Governance objective
Convert operational failure into a preserved and reviewable governance sequence with accountable corrective action.
Primary responsibilities5 controls
◆Contain harmful or unauthorized execution
◆Preserve evidence before systems are altered
◆Determine cause, scope, and affected parties
Required evidence
Incident ReportContainment RecordRoot-Cause AnalysisCorrective Action PlanClosure Verification
Governing decisionResume, restrict, redesign, or retire
RP
08
Lifecycle stageEnd of Operation
Retirement & Preservation
Retire systems responsibly while preserving governance records, execution history, dependencies, and audit evidence.
Governance objective
End active operation without losing accountability, historical truth, legal evidence, or control over residual system effects.
Primary responsibilities5 controls
◆Authorize retirement and final operating date
◆Disable execution paths and system access
◆Preserve required records and model artifacts
Required evidence
Retirement AuthorizationDecommission RecordArchive ManifestData Disposition RecordFinal Governance Report
Governing decisionClose active lifecycle authority
TA-14 LIFECYCLE GOVERNING SEQUENCE
Every stage must preserve the evidence required by the next.
Declare purpose, authority, and boundaries.
Engineer governance into the system.
Test evidence against requirements.
Issue an authorized gate decision.
Release the approved configuration.
Preserve runtime evidence and drift.
Govern changes and incidents.
Close execution and preserve history.
GCGovernance continuity
LIFECYCLE CONTINUITY BOUNDARY
Approval at one point in time does not govern the entire future.
AI systems change through new data, model updates, integrations, user behavior, environmental conditions, policy changes, incidents, and operational drift. Lifecycle governance must preserve the relationship between the system that was approved, the system that is operating, the evidence available now, and the authority permitting continued execution.