What do you take away from the ISO 22301 for Digital Product course?
Complete and auditable ISO 22301 Business Impact Analysis specific to AI-driven product environments Control mapping that integrates with existing workforce management and data governance systems Internal continuity playbook tailored to digital product release cycles Framework fluency to lead cross-functional resilience planning without external consultants Authority to sign off on continuity architecture decisions independently.
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.
What does the ISO 22301 for Digital Product cover on delivery and format?
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: 6-8 hours per module, designed to be completed alongside active product delivery cycles.
How does this compare to the alternatives?
Unlike generic ISO 22301 training, this course is tailored for digital product leaders managing AI and data systems, focusing on real-world implementation, not theory. No other course combines ISO 22301 mastery with the operational realities of AI-driven innovation at scale.
What does the ISO 22301 for Digital Product cover on frequently asked?
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
How is the ISO 22301 for Digital Product delivered?
The ISO 22301 for Digital Product is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. A certificate of completion is issued by The Art of Service when you finish.
How much does the ISO 22301 for Digital Product cost?
The ISO 22301 for Digital Product is $199 as a one time payment. There is no subscription and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Insurance Product Innovation and Digital Strategy Playbook, Insurance Product Innovation and Digital Transformation, AI-Driven Product Innovation in Digital Entertainment, Unlocking Creative Potential.
More answers: what you get with every course, refund policy, all help answers.
A tailored course, built for your situation
Mastering ISO 22301 for Digital Product and AI Innovation Leaders
Build unshakeable business continuity frameworks that keep pace with AI-driven product evolution and data complexity
Who this is for
Senior digital product and innovation leader responsible for AI systems, data platforms, and workforce technology in a multinational organization
Who this is not for
Junior compliance staff, auditors focused solely on documentation, or practitioners without decision authority in product or digital delivery
What you walk away with
- Complete and auditable ISO 22301 Business Impact Analysis specific to AI-driven product environments
- Control mapping that integrates with existing workforce management and data governance systems
- Internal continuity playbook tailored to digital product release cycles
- Framework fluency to lead cross-functional resilience planning without external consultants
- Authority to sign off on continuity architecture decisions independently
The 12 modules (with all 144 chapters)
- What ISO 22301 solves for digital innovation
- Scope definition in hybrid cloud environments
- Linking business continuity to product KPIs
- Stakeholder alignment across product and ops
- Regulatory context in UK and EU markets
- Continuity vs disaster recovery distinctions
- Role of AI in continuity forecasting
- Risk appetite in fast iteration cycles
- Baseline requirements for digital services
- How Sodexo-scale operations differ
- Mapping framework clauses to product domains
- First steps after framework adoption
- Identifying critical digital functions
- Downtime cost modeling for AI features
- Recovery time objectives for data layers
- Stakeholder input from kitchen ops teams
- Prioritizing systems by customer impact
- BIA for machine learning models
- Dependency mapping across platforms
- Documenting cascading failures
- Thresholds for declaring disruption
- Validation with cross-functional leads
- Versioning the BIA with product updates
- Template: AI product BIA worksheet
- Threat modeling for AI systems
- Single points of failure in data pipelines
- Vendor risk in third-party AI tools
- Human factors in digital kitchen systems
- Cyber-physical system interdependencies
- Risk register structure and format
- Likelihood vs impact calibration
- Scenario planning for supply shocks
- Climate risk and food distribution links
- Updating risk assessments quarterly
- Automating risk data collection
- Template: Digital product risk register
- Failover approaches for AI models
- Data backup and versioning strategy
- Manual fallbacks for kitchen systems
- Cloud redundancy across regions
- Workforce continuity planning
- Third-party dependency strategies
- Cost-benefit of high-availability
- Scaling down vs failover decisions
- Model retraining during outages
- Menu personalization continuity
- Strategy alignment with SLAs
- Template: Strategy decision matrix
- Defining incident severity levels
- Alert triage for AI system anomalies
- Response team roles and contacts
- Communication protocols with ops
- Escalation paths for AI drift
- Digital forensics for model failures
- Tabletop exercise design
- Post-mortem processes for AI outages
- Integrating with SOC workflows
- Response automation triggers
- Legal disclosure thresholds
- Template: AI incident response playbook
- Test frequency by system criticality
- Simulating data pipeline failures
- AI model degradation scenarios
- Kitchen operations continuity drills
- Remote workforce activation tests
- Cross-silo coordination testing
- Measuring test effectiveness
- Reporting outcomes to leadership
- Corrective action tracking
- Integrating test results into roadmaps
- Avoiding alert fatigue in testing
- Template: Test observation report
- Change control for digital products
- Framework updates after AI model retrain
- Audit trail maintenance
- Version control for continuity docs
- Automated compliance monitoring
- Review cycles with product teams
- Updating contact lists quarterly
- Handling team turnover in plans
- Integrating with product OKRs
- Continuous improvement tracking
- Document retention policy alignment
- Template: Maintenance checklist
- Internal audit planning
- Sampling methodology for digital logs
- Evidence collection for AI systems
- Common auditor findings in tech firms
- Pre-audit walkthrough structure
- Gap assessment techniques
- Corrective action documentation
- Management review meeting prep
- Statement of Applicability drafting
- Audit response protocol
- Certification timeline expectations
- Template: Audit readiness tracker
- Contractual continuity clauses
- Vendor risk assessment process
- Third-party audit evidence collection
- SLA monitoring for uptime
- AI model drift monitoring
- Data sovereignty and continuity
- Onboarding continuity requirements
- Exit strategy planning
- Penalties for failure
- Reporting from vendors
- Multi-vendor dependency risks
- Template: Vendor continuity questionnaire
- Reporting to innovation steering groups
- Continuity KPIs for leadership
- Budget justification narratives
- Crisis communication planning
- Board-level summary prep
- Linking resilience to brand trust
- Incident disclosure strategy
- Media response coordination
- Internal comms for staff
- Success story documentation
- Stakeholder feedback loops
- Template: Leadership briefing deck
- Control overlap identification
- Unified compliance reporting
- Shared evidence repositories
- Integrated risk assessments
- Cross-framework audit trails
- Data protection continuity links
- Alignment with NIST CSF
- Mapping to SOC 2 requirements
- Privacy and availability balance
- AI ethics and continuity
- Supply chain resilience integration
- Template: Framework alignment map
- Onboarding new product staff
- Continuity in agile sprints
- Knowledge transfer strategies
- Succession planning for role owners
- Framework evangelism techniques
- Lessons from industry peers
- Benchmarking against best practices
- Continuous learning pathways
- Framework evolution planning
- Renewal cycle preparation
- Scaling to new geographies
- Template: Long-term sustainability plan
How this maps to your situation
- AI-driven menu platform resilience
- Workforce management system continuity
- Data pipeline integrity during disruptions
- Cross-functional incident response coordination
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: 6-8 hours per module, designed to be completed alongside active product delivery cycles
How this compares to the alternatives
Unlike generic ISO 22301 training, this course is tailored for digital product leaders managing AI and data systems, focusing on real-world implementation, not theory. No other course combines ISO 22301 mastery with the operational realities of AI-driven innovation at scale.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.