AI Change & Capability Management
Change control for evolving AI capabilities
Outcome: Manage AI capability changes with structured change control and oversight.
Change management integration, re-approval triggers, and documentation.
Implementation Outcome
This course clarifies how to govern AI updates, reassessment triggers, and audit continuity over time.
- AI change request and assessment template
- Re-approval trigger criteria and checklist
- Change log and stakeholder notification pack
Controls & Evidence
- Designed for records retention, version control, and documented review cadence
- Supports internal control alignment and defensible oversight practices
- Produces an audit-reviewable evidence set suitable for internal audit request workflows
Data handling: No submission of sensitive or proprietary data is required to complete the program.
Risk Exposure
Lack of defensible policies or controls can result in significant, unmitigated enterprise risk exposure. This program addresses the risk areas most relevant to this capability.
- Tool updates introduce new exposure without review
- Controls become misaligned after capability changes
- No documentation of change approvals and impacts
- Operational use drifts from approved scope
Deliverables
Change Request Template
Captures capability change, impact, and required approvals.
Impact Assessment Checklist
Security, privacy, compliance, and operational impacts.
Re-Approval Triggers
When changes require governance review or control updates.
Change Log & Communications Pack
Versioned records and stakeholder notifications.
Governance Lifecycle Integration
- Baseline: Establish policy-aligned use patterns and minimum control expectations across affected teams.
- Oversight: Assign accountable owners, decision rights, and escalation paths for AI-assisted activities.
- Monitoring: Define review cadence, metrics, and control checks aligned to operational reality.
- Documentation: Maintain version-controlled artifacts and evidence suitable for records retention and review.
- Audit Review: Enable internal audit and leadership review with traceable controls, decisions, and evidence.
Buyer Questions
Does this require sharing confidential data with the provider?
No. The program is designed for policy, controls, and safe-use practices. Participants can complete the program without submitting sensitive or proprietary data.
Who should attend?
Risk, IT, audit
What evidence is produced for audit review?
Version-controlled artifacts (policy templates, oversight workbook outputs, and control-aligned documentation) suitable for internal audit requests and governance reviews.
How is it deployed?
On-demand delivery with enterprise licensing options. LMS and SSO integration can be included in rollout scoping.
How are artifacts maintained over time?
Artifacts are designed for version control and periodic review. Organizations can align updates to internal change management and records retention requirements.
Request Enterprise Pricing
For rollout scoping (seat counts, deployment model, LMS/SSO integration, and licensing options), request enterprise pricing and deployment scope.