A tailored course, built for your situation
Mastering ISO 42001 for Business Development Executives in Regulated Offerings
Build trusted AI governance frameworks that become the reference point across offerings
$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 governance is no longer advisory, it's operational. But without a recognized framework, your leadership role in it stays invisible.
The situation this course is for
Even strong practitioners are overlooked when it comes to high-visibility AI governance escalations, because they lack the structured, standards-based narrative that earns immediate trust from legal, compliance, and M&A teams.
Who this is for
Senior business development and offering leaders in regulated environments who lead cross-functional teams and shape go-to-market strategy for technology offerings with AI components.
Who this is not for
This is not for individual contributors building AI models, junior compliance staff, or consultants without ownership of end-to-end offering governance.
What you walk away with
- Own the ISO 42001 implementation roadmap from scoping to sign-off
- Produce regulator-ready documentation packages on demand
- Lead AI governance reviews without deferring to legal or compliance
- Become the default escalation point for AI risk in M&A and partner integrations
- Deploy reusable templates that scale across offerings and geographies
The 12 modules (with all 144 chapters)
Module 1. ISO 42001 Foundation and Business Impact
Understand the core requirements of ISO 42001 and how they map directly to offering risk, compliance scope, and executive decision-making in complex tech environments.
12 chapters in this module
- What ISO 42001 solves that other standards don't
- AI risk categories under ISO 42001
- Linking controls to business outcomes
- Role of offering management in governance
- Scope definition for AI systems
- Mapping ISO 42001 to IBM-level governance
- Stakeholder alignment framework
- Timing cadence for audits
- Integration with existing compliance frameworks
- Vendor AI oversight requirements
- Change control under ISO 42001
- Documenting decision authority
Module 2. Scoping AI Systems for Compliance
Define exactly which AI systems fall under ISO 42001 based on risk, customer impact, and regulatory exposure, avoiding overreach or gaps.
12 chapters in this module
- Risk-based scoping methodology
- High-impact AI system criteria
- Customer-facing AI classification
- Internal-use AI exceptions
- Third-party AI dependencies
- Cloud-hosted AI considerations
- Legacy system integration
- Automated decision-making thresholds
- Human oversight triggers
- Documentation completeness check
- Review cycle cadence
- Stakeholder sign-off workflow
Module 3. Accountability and Governance Structure
Establish clear lines of accountability for AI governance across development, deployment, and monitoring, tailored to matrixed organizations.
12 chapters in this module
- Defining AI governance roles
- Assigning control ownership
- Escalation paths for noncompliance
- Cross-team coordination model
- Leadership review frequency
- Audit trail maintenance
- Change approval matrix
- Incident reporting structure
- External auditor access rules
- Policy update process
- Training requirements by role
- Compliance communication plan
Module 4. AI Risk Assessment Framework
Build a repeatable, evidence-based risk assessment process that satisfies internal audit and external regulators alike.
12 chapters in this module
- Risk taxonomy for AI systems
- Likelihood and impact scoring
- Bias identification methods
- Safety risk thresholds
- Privacy impact integration
- Transparency requirements
- Human oversight levels
- Adversarial attack surface
- Model drift detection
- Third-party risk scoring
- Risk treatment options
- Residual risk documentation
Module 5. Data Quality and Management
Ensure training and operational data meet ISO 42001 standards for accuracy, bias mitigation, and lifecycle control.
12 chapters in this module
- Data provenance tracking
- Bias detection in datasets
- Data lifecycle policies
- De-identification techniques
- Synthetic data use cases
- Data freshness requirements
- Data access logging
- Data retention rules
- Data correction process
- Data sharing agreements
- Data quality metrics
- Audit evidence preparation
Module 6. AI System Documentation
Create comprehensive, regulator-ready documentation that stands up to scrutiny during audits and due diligence.
12 chapters in this module
- System purpose statement
- Intended use definition
- User scope and limitations
- Model architecture summary
- Data sources and types
- Training methodology
- Bias mitigation steps
- Performance metrics
- Human oversight integration
- Update and versioning policy
- Third-party component list
- Compliance evidence index
Module 7. Transparency and Consumer Communication
Design disclosure practices that meet ISO 42001 requirements while supporting brand trust and regulatory compliance.
12 chapters in this module
- Consumer notification timing
- Explainability thresholds
- Right to object framework
- Clarity in AI use cases
- Marketing claims compliance
- User feedback mechanism
- AI interaction indicators
- Multilingual disclosure
- Accessibility requirements
- Change communication process
- Opt-out procedures
- Audit readiness checks
Module 8. Human Oversight Mechanisms
Implement effective human-in-the-loop controls that satisfy ISO 42001 without slowing innovation.
12 chapters in this module
- Critical decision points
- Human review thresholds
- Override authority definition
- Monitoring frequency
- Escalation triggers
- Training for human reviewers
- Audit trail for interventions
- Performance feedback loop
- Automation boundary definition
- Liability transfer rules
- Third-party oversight
- Continuous improvement cycle
Module 9. AI System Lifecycle Controls
Apply ISO 42001 controls consistently from development through deployment, monitoring, and decommissioning.
12 chapters in this module
- Development environment controls
- Testing requirements
- Deployment approval process
- Monitoring KPIs
- Model drift response
- Incident management
- Patch and update process
- Decommissioning checklist
- Data deletion confirmation
- Version rollback procedure
- Audit trail retention
- Lessons learned documentation
Module 10. Third-Party AI Vendor Management
Extend ISO 42001 compliance to external AI providers with clear contractual and operational expectations.
12 chapters in this module
- Vendor due diligence process
- Contractual compliance clauses
- Subprocessor oversight
- Audit rights negotiation
- Compliance evidence collection
- Risk-based vendor tiers
- Performance monitoring
- Incident response coordination
- Exit strategy planning
- Transition support terms
- Liability allocation
- Dispute resolution framework
Module 11. Internal Audit and Continuous Monitoring
Design an ongoing compliance assurance process that prevents last-minute scrambles before audits.
12 chapters in this module
- Audit schedule planning
- Control testing frequency
- Evidence collection workflow
- Nonconformance tracking
- Remediation deadlines
- Management reporting
- Trend analysis
- Benchmarking against peers
- Audit preparation checklist
- Regulator Q&A simulation
- Lessons from past audits
- Improvement roadmap
Module 12. Certification and External Audit Readiness
Prepare for successful ISO 42001 certification with complete, organized, and defensible documentation.
12 chapters in this module
- Choosing a certification body
- Pre-audit gap assessment
- Document organization
- Stakeholder briefing
- On-site audit preparation
- Question response protocol
- Nonconformity handling
- Corrective action tracking
- Certificate maintenance
- Surveillance audit prep
- Public communications strategy
- Post-certification roadmap
How this maps to your situation
- Pre-certification readiness
- Regulator-facing review
- M&A due diligence
- Cross-offering AI governance
Before vs. after
Before
AI governance work is ad hoc, reactive, and often deferred to compliance or legal teams, limiting visibility and influence.
After
You lead ISO 42001 implementation end to end, with regulator-ready outputs and strategic escalations routed to your desk first.
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 3 hours per module, designed for senior practitioners to complete at their own pace over 6, 8 weeks.
If nothing changes
Without a recognized governance framework, even strong offering leaders remain invisible in high-stakes AI escalations, missing the chance to lead where it matters most.
How this compares to the alternatives
Unlike generic compliance courses or vendor-led training, this program delivers actionable, standards-based mastery tailored specifically for business development leaders shaping AI offerings in regulated environments.
Frequently asked
Who is this course for?
Senior business development and offering leaders in regulated industries who need to own AI governance frameworks and lead cross-functional compliance efforts.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in my current role at IBM?
Yes, this course equips you to lead ISO 42001 implementation for AI offerings, making you the reference point for compliance, M&A, and regulator-facing work.
$199 one-time. Approximately 3 hours per module, designed for senior practitioners to complete at their own pace 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