A tailored course, built for your situation
Mastering ISO 42001 for Health, Safety & Wellbeing Practitioners
Build AI governance that strengthens duty of care, earns trust, and stays ahead of regulation
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
AI is entering employee wellbeing programs without clear governance, creating invisible risk just as regulators are watching closely
The situation this course is for
Organisations are deploying AI in mental health apps, fatigue prediction, and return-to-work coaching, without structured oversight. Practitioners are expected to 'know this' but aren't given the frameworks. The result? Well-intentioned programs face scrutiny, audit delays, or employee distrust because governance wasn't built in from the start.
Who this is for
Health, Safety & Wellbeing Specialist at a mid-to-large employer in Oceania, implementing or overseeing digital wellbeing tools with emerging AI features, seeking to future-proof programs and elevate visibility to executive leadership
Who this is not for
This is not for IT security teams building AI controls, nor for independent consultants selling compliance audits. It’s for internal wellbeing leaders who need to govern AI responsibly without becoming technologists.
What you walk away with
- Deploy AI-integrated wellbeing programs with ISO 42001 alignment from day one
- Present clear governance narratives to executives overseeing risk and people strategy
- Anticipate audit questions on AI ethics, bias, and employee consent in wellbeing tools
- Differentiate your program with documented, standards-based AI accountability
- Turn routine reporting into strategic influence by anchoring wellbeing to organisational AI governance
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the role of wellbeing practitioners
Understand how ISO 42001 applies beyond IT and into human-centred systems like employee health programs, and why your voice matters in shaping AI governance from the start.
12 chapters in this module
- What ISO 42001 means for non-technical domains
- The expanding definition of 'AI system' in the workplace
- Your leverage in shaping ethical AI deployment
- Key clauses that protect employee wellbeing
- How this standard complements existing WHS frameworks
- Mapping AI use cases in current wellbeing programs
- Identifying where governance gaps exist today
- The link between psychological safety and AI transparency
- Case: Fatigue detection app under audit
- Case: Mental health chatbot with bias concerns
- Starting the conversation with risk and compliance teams
- Building your internal case for governance leadership
Module 2. Understanding AI in employee wellbeing contexts
Identify which wellbeing technologies already use AI, how they function, and where risk and opportunity intersect for duty of care and trust.
12 chapters in this module
- Common AI applications in mental health tools
- Fatigue and stress prediction algorithms
- Return-to-work recommendation engines
- Personalised coaching chatbots
- Wearable data aggregation systems
- Ethical red flags in AI-driven nudges
- Consent models for passive data collection
- Employee expectations of privacy
- How AI differs from traditional HR analytics
- Validating vendor claims about AI fairness
- Documenting AI use for internal transparency
- Preparing for employee questions about AI
Module 3. Core principles of ISO 42001 for non-technical roles
Break down the standard’s requirements into actionable insights for wellbeing leaders who don’t code but must govern.
12 chapters in this module
- Clause 4: Understanding organisational context
- Clause 5: Leadership and commitment in practice
- Clause 6: Planning with wellbeing outcomes in mind
- Clause 7: Support through documentation and training
- Clause 8: Operational control of AI tools
- Clause 9: Performance evaluation without technical debt
- Clause 10: Continual improvement in human systems
- Translating controls into plain language
- Mapping clauses to current wellbeing policies
- Gap analysis without an audit team
- Building a cross-functional governance working group
- Setting meaningful KPIs for AI-augmented programs
Module 4. Establishing AI governance within wellbeing programs
Integrate ISO 42001 principles into existing workflows, documentation, and reporting cycles.
12 chapters in this module
- Embedding governance in vendor selection
- Checklist for AI-enabled platform procurement
- Defining roles: Who owns what?
- Creating a wellbeing AI register
- Approval workflows for new tools
- Documenting decision rationales
- Communicating governance to employees
- Managing AI-related incident reporting
- Updating psychosocial risk assessments
- Incorporating AI into return-to-work policies
- Training managers on AI-aware supervision
- Annual review cycle integration
Module 5. Risk assessment specific to wellbeing AI systems
Conduct targeted assessments that focus on human impact, not just data flows.
12 chapters in this module
- Identifying high-risk AI use cases
- Bias in mental health recommendations
- Over-reliance on algorithmic nudges
- Privacy erosion through passive monitoring
- Emotional manipulation risks
- Workplace surveillance concerns
- False positives in fatigue detection
- Escalation paths for employee concerns
- Third-party model dependency risks
- Lack of explainability in recommendations
- Vendor lock-in and continuity risks
- Scoring risk severity with non-technical teams
Module 6. Designing human-centred AI policies
Develop clear, enforceable policies that prioritise employee dignity and trust.
12 chapters in this module
- Crafting AI use principles for wellbeing
- Defining acceptable vs. unacceptable use
- Consent frameworks for AI monitoring
- Right to opt out without penalty
- Transparency about algorithmic influence
- Employee education on AI interactions
- Policy enforcement mechanisms
- Disciplinary actions for misuse
- Review cycles for policy updates
- Aligning with enterprise AI policies
- Handling cross-border data flows
- Policy communication strategy
Module 7. Implementing transparency and explainability
Ensure employees understand how AI affects their experience, and why that builds trust.
12 chapters in this module
- What explainability means in practice
- Providing meaningful AI disclosures
- Designing user-friendly AI notices
- Employee FAQs about AI tools
- Training managers to answer AI questions
- Documenting AI logic without technical detail
- Using analogies to explain algorithms
- Creating AI interaction logs
- Audit trails for high-stakes decisions
- Feedback loops for algorithmic fairness
- Annual transparency reporting
- Benchmarking against ISO 42001 clause 8.3
Module 8. Ensuring accountability and oversight
Establish clear ownership, review processes, and escalation paths for AI-augmented wellbeing tools.
12 chapters in this module
- Assigning AI governance roles
- Wellbeing lead as accountability anchor
- Quarterly review cadence
- Executive reporting structure
- Incident response planning
- Escalation to legal and compliance
- External auditor coordination
- Documenting oversight activities
- Third-party model validation
- Managing AI drift over time
- Updating accountability with organisational change
- Succession planning for governance roles
Module 9. Monitoring and continual improvement
Turn feedback, incidents, and changes into structured improvement cycles.
12 chapters in this module
- Employee feedback on AI tools
- Surveys on AI trust and comfort
- Usage pattern analysis
- Performance against wellbeing KPIs
- Incident tracking and review
- Bias audit scheduling
- Model retraining oversight
- Vendor performance reviews
- Annual ISO 42001 readiness check
- Improvement planning workshop
- Updating governance documentation
- Celebrating governance wins
Module 10. Internal audit preparation for wellbeing AI
Prepare for scrutiny from internal audit, risk, or compliance teams with confidence.
12 chapters in this module
- Anticipating audit questions
- Preparing evidence packs
- Mapping controls to ISO 42001 clauses
- Demonstrating leadership involvement
- Showing continual improvement
- Employee communication records
- Vendor documentation archive
- Risk assessment updates
- Policy version history
- Training completion logs
- Incident resolution documentation
- Preparing for unannounced audits
Module 11. Communicating AI governance to employees
Build trust through clear, consistent, and accessible messaging.
12 chapters in this module
- Developing communication principles
- AI transparency statements
- Onboarding materials for new hires
- Manager talking points
- Intranet content structure
- FAQs for common concerns
- Videos explaining AI use
- Posters and digital signage
- Town hall talking points
- Feedback mechanisms
- Tracking communication effectiveness
- Updating messages over time
Module 12. Leading ISO 42001 adoption in your domain
Become the recognised internal expert and drive adoption across the organisation.
12 chapters in this module
- Positioning yourself as a governance leader
- Sharing wins across teams
- Presenting to senior leadership
- Collaborating with IT and security
- Influencing enterprise AI policy
- Mentoring junior staff
- Speaking at industry events
- Publishing internal case studies
- Contributing to regulatory consultations
- Benchmarking against peers
- Sustaining momentum after rollout
- Leaving a legacy of responsible innovation
How this maps to your situation
- When launching a new AI-powered wellbeing tool
- During annual ISO 42001 readiness review
- After an internal audit query
- When employees raise concerns about AI monitoring
Before vs. after
Before
AI in wellbeing programs operates without formal governance, creating invisible risk and missed leadership opportunities.
After
You lead visible, standards-aligned AI governance that strengthens trust, earns executive attention, and future-proofs employee programmes.
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 60 minutes per module, designed to fit within regular work cycles over 3-4 weeks.
If nothing changes
Without intentional governance, AI in employee wellbeing can erode trust, trigger regulatory scrutiny, and undermine hard-won psychological safety, especially as APAC regulators align with global AI directives.
How this compares to the alternatives
Unlike generic AI ethics courses, this program is tailored to health and safety practitioners with concrete tools for ISO 42001 implementation. Unlike vendor-led training, it focuses on your governance authority, not product features.
Frequently asked
Is this course technical?
No. It’s designed for wellbeing practitioners who govern AI use, not build it. All content is non-technical and focused on policy, oversight, and communication.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me talk to IT or compliance teams?
Yes. You’ll gain the language, frameworks, and documentation templates to lead cross-functional conversations confidently.
$199 one-time. Approximately 60 minutes per module, designed to fit within regular work cycles over 3-4 weeks..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours