Audit-Ready AI
Evidence, documentation, and defensibility
Outcome: Create audit-reviewable AI governance evidence and documentation practices.
Records retention, evidence sets, and documentation patterns aligned to audit inquiry.
Implementation Outcome
This course addresses how auditors evaluate AI use. Participants learn evidence preparation, documentation standards, and how to support audit interviews with defensible controls rather than explanations.
- Audit evidence set checklist for AI programs
- Version control & records retention guidance
- Governance review minutes and decision log templates
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.
- No defensible evidence for AI oversight claims
- Inability to respond to audit requests efficiently
- Documentation gaps across controls and decisions
- Weak records retention and version control practices
Deliverables
Audit Evidence Checklist
What to retain, how to store, and how to retrieve for audit.
Decision Log Templates
Defensible rationale capture for approvals and exceptions.
Control-to-Evidence Mapping
Link controls to artifacts, test steps, and owners.
Review Cadence Pack
Meeting agendas, minutes format, and evidence capture norms.
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?
Internal audit, security, compliance
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.