A tailored course, built for your situation
Mastering ISO 22301 for Senior AI CoE Leaders
Build a self-reinforcing governance framework that scales with every AI deployment
$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.
Avoid rebuilding governance from scratch every time
The situation this course is for
Most AI leaders repeat the same foundational work across projects, writing similar control justifications, recreating audit trails, rebuilding playbooks. This repetition slows deployment, dilutes quality, and prevents true scale.
Who this is for
Senior AI governance leader in a global organization who owns cross-functional AI delivery and compliance outcomes
Who this is not for
Individual contributors focused only on model development, junior analysts, or those without responsibility for AI program governance or compliance artifacts
What you walk away with
- Produce ISO 22301-aligned control documentation that survives team changes
- Re-use audit narratives across multiple AI deployments
- Consolidate repeatable implementation steps into a living playbook
- Reduce time to compliance sign-off by 50 percent using standardized templates
- Scale governance capacity without adding headcount
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 22301 in AI Context
Understand how business continuity management applies directly to AI system resilience and uptime guarantees.
12 chapters in this module
- Defining AI service continuity
- Mapping ISO 22301 clauses to AI risks
- Identifying critical AI dependencies
- Stakeholder alignment for continuity
- Setting continuity metrics for models
- Incident classification framework
- Recovery time objectives for AI
- Impact analysis on AI downtime
- Service level agreement mapping
- Baseline for AI continuity plan
- Regulatory overlap with AI ops
- Building executive awareness
Module 2. Governance Architecture Design
Structure your AI CoE to maintain continuity compliance without slowing innovation.
12 chapters in this module
- CoE role in continuity planning
- Defining governance boundaries
- RACI for AI continuity tasks
- Policy ownership mapping
- Version control for frameworks
- Cross-functional coordination
- Decision rights documentation
- Escalation paths for outages
- Compliance ownership model
- Audit trail governance
- Change management process
- Knowledge retention strategy
Module 3. Risk Assessment Integration
Embed ISO 22301 risk logic into AI project intake and design phases.
12 chapters in this module
- AI-specific threat modeling
- Dependency mapping exercise
- Single point of failure ID
- Data pipeline continuity risks
- Model drift as continuity threat
- Third-party AI service risks
- Cloud region failure scenarios
- Fallback mechanism design
- Human oversight thresholds
- Risk register structuring
- Risk treatment options
- Risk acceptance documentation
Module 4. Business Impact Analysis for AI
Quantify the real cost of AI service disruption to prioritize continuity efforts.
12 chapters in this module
- Revenue impact estimation
- Customer experience metrics
- Repair cost forecasting
- Reputation risk scoring
- Compliance exposure levels
- Downstream system impacts
- Manual override feasibility
- Decision latency tolerance
- Service interdependency mapping
- Recovery point objectives
- Data consistency requirements
- BIA validation with stakeholders
Module 5. Continuity Strategy Development
Define how your AI services survive disruption, from detection to recovery.
12 chapters in this module
- Recovery time vs cost tradeoff
- Active/passive model routing
- Data replication strategy
- Model rollback procedures
- Warm standby configuration
- Failover testing schedule
- Cloud provider failover SLAs
- Edge AI continuity options
- Hybrid mode operation
- Automation threshold setting
- Human-in-the-loop triggers
- Strategy documentation template
Module 6. Incident Response Planning
Create actionable, AI-specific response playbooks aligned with ISO 22301.
12 chapters in this module
- Incident classification schema
- Detection mechanisms for AI
- Alert triage process
- Response team activation
- Model shutdown procedure
- Data quarantine process
- Stakeholder notification list
- Regulatory reporting triggers
- Post-mortem framework
- Evidence preservation steps
- Legal hold coordination
- Communication templates
Module 7. Control Mapping and Documentation
Translate technical AI safeguards into ISO 22301 control language for auditors.
12 chapters in this module
- Clause-to-control mapping
- Technical control translation
- Evidence collection strategy
- Control ownership assignment
- Automated evidence logging
- Control testing frequency
- Audit trail completeness
- Version-controlled documentation
- Cross-reference system design
- Control rationalization
- Gap tracking methodology
- Remediation workflow
Module 8. Testing and Validation
Prove your AI continuity plans work , without waiting for a real incident.
12 chapters in this module
- Tabletop exercise design
- Simulation scope definition
- Test scenario development
- Participant briefing
- Response time measurement
- Plan effectiveness scoring
- Missed step identification
- Tooling integration test
- Automatic recovery validation
- Manual override testing
- Post-test review process
- Improvement backlog creation
Module 9. Maintenance and Review Cycles
Keep your AI continuity plans current as models and infrastructure evolve.
12 chapters in this module
- Change detection triggers
- Version control integration
- Model update notifications
- Architecture change alerts
- Review frequency setting
- Stakeholder re-engagement
- Plan update workflow
- Configuration drift checking
- Control obsolescence flag
- Knowledge refresh process
- Dependency revalidation
- Regulatory change monitoring
Module 10. Training and Awareness
Ensure every team member understands their role in AI service continuity.
12 chapters in this module
- Role-specific training paths
- Onboarding integration
- Annual refresh requirements
- Simulation participation
- Knowledge check design
- Training record management
- Leadership engagement topics
- Third-party awareness
- Vendor training expectations
- Drill communication plan
- Feedback collection
- Improvement loop closure
Module 11. Compliance Audit Readiness
Turn ISO 22301 audits from stress test to showcase of AI governance maturity.
12 chapters in this module
- Audit scope anticipation
- Evidence pre-positioning
- Interview preparation
- Artifact indexing
- Gap disclosure strategy
- Regulator communication style
- Follow-up response drafting
- Non-conformance tracking
- Corrective action planning
- Audit trail completeness
- Cross-reference verification
- Audit exit reporting
Module 12. Scaling Through Reuse
Transform one-off artifacts into a compounding library for future AI projects.
12 chapters in this module
- Template identification
- Playbook versioning
- Standard clause library
- Reusable control mappings
- Audit narrative building blocks
- Modular risk register
- Cross-project evidence sharing
- Centralized playbook storage
- Searchable knowledge base
- Onboarding with playbooks
- Peer review integration
- Continuous improvement process
How this maps to your situation
- After launching first AI service
- Before compliance audit cycle
- During AI CoE maturity upgrade
- Post-incident review implementation
Before vs. after
Before
Rebuilding governance from scratch with every new AI project, repeating effort and risking inconsistencies.
After
Launching new AI initiatives with pre-validated continuity frameworks, reusing proven artifacts and reducing time-to-compliance by half.
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 to be consumed in short sessions over 6-8 weeks.
If nothing changes
Without a reusable governance foundation, every new AI deployment requires restarting compliance work, slowing delivery and increasing risk of gaps under audit scrutiny.
How this compares to the alternatives
Unlike generic ISO 22301 training, this course is tailored to AI governance leaders , connecting business continuity requirements directly to machine learning deployment patterns, control documentation, and audit readiness in technical environments.
Frequently asked
Is this course specific to cloud-hosted AI services?
Yes, it includes cloud-specific continuity strategies for AWS, Azure, and GCP-hosted models, including multi-region failover and data replication design.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I reuse the templates across my AI CoE?
Yes, all templates are licensed for internal use across your organization and can be adapted to different AI projects.
$199 one-time. Approximately 45 minutes per module, designed to be consumed in short sessions over 6-8 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