A tailored course, built for your situation
Deeper command of the ISO 22301 control mapping
Master the structure and execution of business continuity frameworks with precision
$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.
Who this is for
Senior technical practitioner in AI or infrastructure engineering working at scale, focused on resilience, compliance alignment, and system robustness
Who this is not for
Entry-level compliance staff, auditors without technical implementation experience, or executives seeking only high-level oversight
What you walk away with
- Complete and defensible ISO 22301 control mappings tailored to AI infrastructure environments
- Faster consensus in cross-functional resilience planning with pre-built justification patterns
- Clear differentiation as the go-to practitioner for continuity-critical design decisions
- Reusable templates for business impact analysis specific to AI model deployment cycles
- Authority to lead vendor continuity assessments without escalation
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 22301 in technical environments
Understand how ISO 22301 applies specifically to AI and cloud-native systems, not generic operations. Learn to distinguish marketing claims from implementable requirements.
12 chapters in this module
- What ISO 22301 actually requires
- Scope definition for AI workloads
- Difference between BCM and DR
- Role of technical ownership
- Timing of continuity planning cycles
- Integration with incident response
- Mapping to NIST CSF
- Common misinterpretations
- Vendor obligations defined
- Audit trail expectations
- Document retention rules
- Internal escalation paths
Module 2. Business impact analysis for AI systems
Build quantifiable impact models for AI infrastructure, including downtime cost, data drift, and model rollback consequences.
12 chapters in this module
- Identifying critical AI components
- Downtime cost per hour
- Model retraining window
- Data integrity thresholds
- Customer impact scoring
- Third-party dependencies
- Recovery time objectives
- Recovery point objectives
- Service level implications
- Human review bottlenecks
- Regulatory exposure triggers
- Internal stakeholder mapping
Module 3. Defining continuity strategy
Select and justify continuity strategies tailored to AI deployment patterns, including cloud redundancy, warm standby, and fallback logic.
12 chapters in this module
- Redundancy vs replication
- Cloud region strategies
- Fallback decision triggers
- AI model versioning
- Data pipeline continuity
- Monitoring thresholds
- Automated failover rules
- Manual override protocols
- Geopolitical risks
- Supply chain continuity
- Cost-benefit of uptime
- Scalability limits
Module 4. Developing the business continuity plan
Create living documents that align with engineering velocity, including version control and integration with CI/CD pipelines.
12 chapters in this module
- Plan structure standards
- Version control integration
- Runbook automation
- AI-specific scenarios
- Incident command roles
- Communication trees
- Stakeholder alerts
- Escalation matrices
- Test result documentation
- Plan activation criteria
- Post-event review format
- Update frequency rules
Module 5. Exercising the continuity plan
Design and run realistic, low-disruption tests for AI system continuity, including tabletop simulations and automated triggers.
12 chapters in this module
- Test frequency guidelines
- Tabletop scenario design
- Automated test triggers
- AI model rollback test
- Data consistency check
- Cross-team coordination
- Participant roles
- Observer documentation
- Failure mode injection
- Test result scoring
- Remediation tracking
- Executive briefing
Module 6. Maintaining the continuity program
Operationalize ongoing updates to the continuity plan, ensuring alignment with infrastructure changes and AI model releases.
12 chapters in this module
- Change control integration
- Model update triggers
- Infrastructure drift
- Dependency tracking
- Quarterly review cycle
- Stakeholder feedback
- Audit readiness check
- Version history
- Lessons learned tracking
- Process improvement loop
- Retention of records
- Succession planning
Module 7. ISO 22301 control mapping
Map each ISO 22301 requirement directly to AI infrastructure controls, with traceable evidence and justification.
12 chapters in this module
- Control 4.1 mapping
- Control 4.2 scoping
- Control 5.1 leadership
- Control 5.2 policy alignment
- Control 6.1 risk criteria
- Control 6.2 BCM strategy
- Control 7.1 resources
- Control 7.2 competence
- Control 7.3 communication
- Control 8.1 exercise plan
- Control 8.2 improvement
- Control 9.1 monitoring
Module 8. Integration with other frameworks
Align ISO 22301 with NIST 800-53, SOC 2, and ISO 27001 in AI environments without redundancy.
12 chapters in this module
- Mapping to NIST 800-53
- SOC 2 overlap points
- ISO 27001 integration
- Avoiding duplication
- Control consolidation
- Audit evidence reuse
- Cross-framework timelines
- Single source of truth
- Policy harmonization
- Vendor alignment
- Third-party assurance
- Internal audit prep
Module 9. Vendor and third-party continuity
Assess and enforce continuity requirements for AI platform vendors, data providers, and cloud infrastructure partners.
12 chapters in this module
- Vendor contract clauses
- Continuity SLAs
- Audit rights
- Right to assess
- Penalty terms
- Multi-cloud fallback
- Data escrow
- API stability
- Support response times
- Incident transparency
- Compliance reporting
- Exit strategy planning
Module 10. Incident response and activation
Lead the activation of continuity plans during AI system outages with clear decision authority and stakeholder alignment.
12 chapters in this module
- Activation triggers
- Decision chain
- Stakeholder alerts
- War room setup
- Communication protocol
- Model rollback process
- Data recovery steps
- Customer messaging
- Legal review
- Post-mortem plan
- Regulatory disclosure
- Lessons capture
Module 11. Evidence and audit readiness
Produce clean, consistent evidence packages for internal and external ISO 22301 audits.
12 chapters in this module
- Evidence retention
- Document naming
- Version control
- Access permissions
- Automated logs
- Test results archive
- Stakeholder sign-offs
- Gap tracking
- Remediation proof
- Audit trail format
- External auditor access
- Confidentiality handling
Module 12. Leading as the continuity owner
Become the internal reference others consult when continuity issues arise, with documented authority and influence.
12 chapters in this module
- Stakeholder trust
- Decision ownership
- Cross-functional influence
- Escalation routing
- Peer consultation
- Mentorship role
- Policy influence
- Budget input
- Vendor selection
- Hiring criteria
- Succession plan
- Leadership visibility
How this maps to your situation
- When drafting AI system resilience requirements
- Before vendor continuity negotiations
- During internal audit prep cycles
- After a major system incident
Before vs. after
Before
Relying on generalized BCM templates not built for AI workloads
After
Producing tailored, audit-ready ISO 22301 control mappings with confidence
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 2.5 hours per module, designed to be completed in parallel with active projects
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on ISO 22301 application in AI and cloud-native environments, with templates and decision logic built for real engineering contexts.
Frequently asked
Is this relevant for someone working on AI at a large tech company?
Yes. The content is tailored to AI infrastructure at scale, with examples from cloud-native and distributed systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in audits or compliance reviews?
Yes. You'll produce evidence-ready mappings and documentation aligned with ISO 22301 audit expectations.
$199 one-time. Approximately 2.5 hours per module, designed to be completed in parallel with active projects.
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