A tailored course, built for your situation
Mastering ISO 42001 for People Operations Leaders
Build a repeatable AI governance foundation that compounds across teams and audits
Who this is for
Senior People Operations practitioner leading AI governance integration in talent, performance, or employee experience systems at a high-growth tech organization
Who this is not for
Entry-level HR coordinators, IT security auditors, or AI engineers building models , this course is for People Ops leaders shaping governance policy, not technical implementation
What you walk away with
- Create reusable ISO 42001-aligned governance templates for AI in hiring, performance, and retention systems
- Demonstrate compliance linkage between People Ops data practices and AI governance controls
- Lead cross-functional rollouts with documentation that survives leadership changes
- Reduce time to audit-readiness by 50% using compounding control evidence
- Establish a trusted repository of governance decisions that scales across business units
The 12 modules (with all 144 chapters)
- What is ISO 42001 and why it matters for People Ops
- Key definitions: AI system, high-risk, transparency obligations
- People Ops touchpoints in AI governance lifecycle
- Mapping AI use cases in talent acquisition
- AI in performance management systems
- Bias detection expectations under clause 8
- Role of documentation in personnel processes
- Linking to data protection frameworks
- Understanding scope definition for HR systems
- Employee communication requirements
- Training records as evidence
- First-party vs third-party AI tools in hiring
- Principles of compounding compliance
- Template design for policy consistency
- Version control without complexity
- Checklist architecture for audit readiness
- Embedding clause references in workflows
- Creating standardized evidence packets
- Reusable meeting minutes format
- Change logs that scale
- Ownership assignment patterns
- Cross-functional sign-off workflows
- Maintaining artefacts across org changes
- Archiving vs retiring documentation
- Identifying AI systems in HR tech stack
- Classifying risk level per use case
- Stakeholder mapping for review boards
- Bias testing protocols for promotion models
- Transparency requirements for employees
- Impact assessment timing
- Documentation depth per risk tier
- Vendor AI tools and due diligence
- Algorithmic accountability frameworks
- Employee feedback mechanisms
- Risk register structure
- Escalation paths for high-risk findings
- Document hierarchy design
- Naming conventions for discoverability
- Storage architecture for access control
- Retention policies for audit trails
- Searchability across repositories
- Access permissions for stakeholders
- Automated reminders for updates
- Integration with HRIS platforms
- Version comparison tools
- Metadata tagging for compliance
- Audit trail preservation
- Decommissioning obsolete files
- Stakeholder roles in AI governance
- Facilitating cross-departmental workshops
- Creating joint accountability matrices
- Common terminology glossary
- Scheduling inter-departmental reviews
- Conflict resolution frameworks
- Shared KPIs for AI fairness
- Reporting cadence to leadership
- Escalation protocols for disagreements
- Incorporating employee resource groups
- Legal vs operational balance
- Communicating progress externally
- Predicting auditor questions
- Common findings in People Ops audits
- Evidence organization strategy
- Pre-audit walkthroughs
- Assigning response teams
- Timeline management during audits
- Drafting responses to observations
- Corrective action planning
- Root cause analysis templates
- Follow-up evidence collection
- Audit communication protocols
- Post-audit review sessions
- Assessing organizational readiness
- Stakeholder engagement plans
- Communication timelines
- Training rollout sequences
- Feedback collection mechanisms
- Pilot testing frameworks
- Scaling successful pilots
- Measuring adoption success
- Addressing resistance constructively
- Leadership sponsorship models
- Celebrating governance wins
- Documenting lessons learned
- Policy vs procedure distinction
- Structure of effective governance policies
- Clause alignment mapping
- Approval workflows
- Publication methods
- Employee acknowledgment tracking
- Review cycles and triggers
- Integration with employee handbook
- Handling policy exceptions
- Amendment processes
- Language accessibility considerations
- Policy version history
- Audience segmentation for training
- Core curriculum design
- Delivery formats comparison
- E-learning module structure
- In-person session planning
- Manager-led discussions
- Assessment methods
- Certification tracking
- Refresher training frequency
- New hire onboarding integration
- Training effectiveness measurement
- Feedback loops for improvement
- Due diligence checklist design
- Contractual obligations for AI vendors
- Right-to-audit clauses
- Ongoing monitoring protocols
- Performance evaluation criteria
- Incident response coordination
- Data processing agreements
- Security posture assessment
- Transparency requirements
- API access for validation
- Exit strategy planning
- Transition cost estimation
- Key performance indicator selection
- Governance maturity models
- Benchmarking against peers
- Employee survey design
- Complaint resolution tracking
- Trend analysis methods
- Process refinement cycles
- Innovation incubation frameworks
- Resource allocation review
- Lessons learned documentation
- Best practice sharing
- Annual governance reporting
- Succession planning for governance roles
- Knowledge transfer protocols
- Documentation sustainability
- Ongoing stakeholder engagement
- Budgeting for maintenance
- Technology refresh planning
- Adaptation to new regulations
- Scalability considerations
- Global consistency strategies
- Local adaptation frameworks
- Crisis response integration
- Legacy system sunset planning
How this maps to your situation
- Preparing for first ISO 42001 audit
- Rolling out AI governance across multiple business units
- Responding to internal audit findings
- Transitioning from ad-hoc to structured governance
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed to be completed in parallel with active governance work.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on People Operations and the practical application of ISO 42001, with artefacts designed to compound across engagements rather than one-off solutions.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.