A tailored course, built for your situation
Mastering ISO 22301 for Transformational Data and AI Leaders
Build resilient data and AI ecosystems with globally recognized business continuity standards
$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.
Scaling AI initiatives without consistent continuity planning creates hidden fragility across business units
The situation this course is for
AI transformations often outpace organizational resilience, leaving critical systems exposed during disruptions. Leaders face increasing pressure to prove robustness without slowing innovation.
Who this is for
Senior data and AI executives driving large-scale transformation in regulated, multi-unit enterprises
Who this is not for
Individual contributors without strategic influence, practitioners focused solely on technical implementation, or those outside enterprise-scale digital transformation
What you walk away with
- Map AI system dependencies into ISO 22301-compliant business continuity plans
- Lead cross-regional resilience planning for AI-driven operations
- Document recovery time objectives for critical data pipelines
- Align executive stakeholders on continuity priorities using standardized ISO 22301 frameworks
- Deploy repeatable continuity assessment templates across business units
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 22301 in Enterprise AI
Understand how business continuity principles apply to AI and data systems, including risk identification, impact analysis, and organizational scope definition.
12 chapters in this module
- Introduction to ISO 22301
- AI systems and business continuity
- Defining organizational resilience scope
- Conducting business impact analysis
- Identifying critical data dependencies
- Prioritizing AI service continuity
- Establishing recovery objectives
- Mapping AI to business functions
- Stakeholder alignment basics
- Regulatory expectations for uptime
- Executive reporting frameworks
- Initial gap assessment template
Module 2. Continuity Strategy Development
Develop a strategic approach to maintaining AI operations during disruption, including resource planning and policy foundations.
12 chapters in this module
- Defining continuity objectives
- Resource requirements for AI
- Policy development for resilience
- Establishing recovery time objectives
- Data availability commitments
- Third-party dependency mapping
- Cloud service continuity planning
- Vendor continuity assessment
- Internal alignment protocols
- Leadership escalation paths
- Documenting decision authority
- Strategic alignment checklist
Module 3. Incident Response for AI Systems
Design incident response frameworks tailored to data and AI environments, including detection, escalation, and initial actions.
12 chapters in this module
- Incident detection mechanisms
- AI system failure indicators
- Escalation protocols for outages
- Initial response workflows
- Communication plans for downtime
- Cross-unit coordination steps
- Technical recovery triggers
- Human judgment integration
- Automated failover evaluation
- Response team composition
- Documentation during crisis
- Post-incident review setup
Module 4. Business Continuity Planning Process
Build comprehensive continuity plans for AI and data functions, integrating technical and organizational elements.
12 chapters in this module
- Plan development framework
- Scope definition for AI units
- Critical process identification
- Recovery sequence mapping
- Data replication requirements
- System interdependency analysis
- Operational workarounds design
- Leadership communication flow
- External partner coordination
- Plan version control
- Stakeholder validation steps
- Final approval protocols
Module 5. Exercising and Testing Methods
Implement testing strategies to validate continuity plans for AI and data systems, ensuring real-world effectiveness.
12 chapters in this module
- Test planning fundamentals
- Scenario development for AI
- Simulation exercise types
- Tabletop drill setup
- Functional recovery tests
- Full-scale exercise planning
- Participant role assignment
- Performance metrics definition
- Gap identification techniques
- Improvement tracking system
- Executive observation protocols
- Test documentation standards
Module 6. Maintenance and Improvement
Establish processes for ongoing review and enhancement of AI continuity plans to maintain relevance.
12 chapters in this module
- Maintenance schedule creation
- Change impact assessment
- Plan update workflows
- Version control systems
- Stakeholder feedback collection
- Audit readiness preparation
- Regulatory alignment updates
- Technology refresh planning
- Dependency revalidation
- Personnel change procedures
- Leadership transition protocols
- Continuous improvement cycle
Module 7. Embedding AI in Continuity Culture
Integrate AI resilience into organizational culture and leadership expectations across functions.
12 chapters in this module
- Leadership engagement strategies
- Awareness training development
- Cross-functional ownership
- Continuity performance metrics
- Incentive alignment models
- Accountability frameworks
- Communication cadence design
- Success story documentation
- Lessons learned sharing
- Culture assessment tools
- Executive sponsorship models
- Sustainability planning
Module 8. Cross-Regional Continuity Alignment
Harmonize business continuity practices for AI systems across multiple regions and regulatory environments.
12 chapters in this module
- Regional risk assessment
- Jurisdictional compliance mapping
- Local leadership engagement
- Global policy adaptation
- Language and cultural factors
- Time zone coordination
- Legal restriction analysis
- Data sovereignty integration
- Incident reporting standards
- Unified response frameworks
- Regional testing coordination
- Global audit preparation
Module 9. Vendor and Third-Party Integration
Ensure third-party AI and data providers meet continuity expectations through structured oversight.
12 chapters in this module
- Vendor assessment criteria
- Contractual continuity terms
- Service level agreement alignment
- Third-party audit rights
- Dependency risk scoring
- Escalation path definition
- Joint exercise participation
- Performance monitoring systems
- Contingency planning coordination
- Exit strategy preparation
- Subcontractor oversight
- Vendor continuity documentation
Module 10. Executive Communication and Reporting
Develop clear, actionable reports on AI system resilience for senior leadership and oversight bodies.
12 chapters in this module
- Executive summary design
- Risk dashboard creation
- Key metric selection
- Board-level summary format
- Incident reporting templates
- Progress tracking visuals
- Regulatory update packaging
- Budget justification frameworks
- Strategic initiative linkage
- Cross-functional impact reporting
- Crisis communication protocols
- Annual report integration
Module 11. Integration with Broader Governance
Align ISO 22301 practices with enterprise risk, compliance, and AI governance frameworks.
12 chapters in this module
- Risk management integration
- Compliance framework alignment
- AI ethics coordination
- Data governance linkage
- Security control mapping
- Audit trail requirements
- Policy consistency checks
- Cross-functional governance
- Regulatory change adaptation
- Stakeholder consultation models
- Documentation standards
- Enterprise architecture coordination
Module 12. Implementation Playbook Deployment
Deploy and operationalize the customized implementation playbook within your organization.
12 chapters in this module
- Playbook orientation
- Team onboarding process
- Pilot unit selection
- Initial implementation steps
- Stakeholder alignment tactics
- Progress tracking system
- Feedback collection mechanism
- Barrier identification
- Leadership reporting setup
- Scaling strategy development
- Success metric definition
- Long-term ownership transition
How this maps to your situation
- Leading AI strategy in multi-unit enterprise
- Executive-level transformation governance
- Cross-regional technology alignment
- Large-scale team coordination
Before vs. after
Before
AI strategy operates in parallel to business continuity planning, creating siloed efforts and inconsistent resilience across units
After
AI initiatives are embedded within ISO 22301 continuity frameworks, enabling coordinated response and unified oversight across all business functions
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 45 minutes per module, designed for executive pacing across strategic initiatives
If nothing changes
Without structured continuity integration, AI systems remain vulnerable to disruption, exposing the enterprise to operational, financial, and reputational harm during crises
How this compares to the alternatives
Unlike generic compliance training or one-size-fits-all continuity guides, this course delivers targeted frameworks for AI and data leaders scaling transformation in complex organizations, combining ISO 22301 rigor with practical deployment in technology-driven enterprises.
Frequently asked
Is this course relevant for AI and data leaders in regulated industries?
Yes, it was designed specifically for senior practitioners in highly regulated, multi-unit organizations like UHC.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive practical tools I can use immediately?
Yes, every module includes downloadable templates and the course includes a hand-built implementation playbook tailored to enterprise AI continuity.
$199 one-time. Approximately 45 minutes per module, designed for executive pacing across strategic initiatives.
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