A tailored course, built for your situation
Mastering ISO 42001 for Corporate Development Leaders
Turn AI governance frameworks into strategic leverage for M&A and innovation
$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 a technical sidebar, it's a deal-critical competency
The situation this course is for
Without a command of emerging standards like ISO 42001, Corporate Development professionals risk being sidelined in high-stakes transactions where AI due diligence drives valuation and integration timelines.
Who this is for
Senior Corporate Development practitioner at a global services firm, leading M&A, carve-outs, and strategic partnerships with direct exposure to regulatory and technology due diligence
Who this is not for
Entry-level analysts, compliance generalists without transaction exposure, or practitioners focused solely on operational AI deployment
What you walk away with
- Lead AI governance diligence in M&A targets with confidence and precision
- Own the ISO 42001 conformance narrative in pre-close integration planning
- Receive direct escalations from legal, risk, and regulator-facing teams on AI-related deal risks
- Deliver board-prep materials that reflect proactive control framing, not reactive compliance
- Differentiate advisory input in competitive deal environments using framework-backed rigor
The 12 modules (with all 144 chapters)
Module 1. ISO 42001 Fundamentals in Transaction Context
Understand how ISO 42001 applies specifically to M&A due diligence, carve-outs, and joint ventures.
12 chapters in this module
- Scope of AI governance in deals
- Key clauses in LOIs referencing ISO 42001
- AI risk in asset-heavy vs. IP-heavy targets
- Due diligence question hierarchy
- Framework alignment mapping
- Regulatory overlap signals
- Common gaps in target self-assessments
- Interviewing AI governance owners
- Vendor AI usage in target ecosystems
- Third-party assurance reliance
- Jurisdictional variance impacts
- First 72-hour assessment workflow
Module 2. AI Governance Gap Analysis for Acquisitions
Conduct precise gap assessments of target AI governance maturity against ISO 42001 requirements.
12 chapters in this module
- Control set applicability filtering
- Materiality thresholds for findings
- Evidence sufficiency benchmarks
- Historical incident review protocol
- AI model inventory completeness
- Human oversight mechanisms
- Transparency documentation
- Bias testing expectations
- Data lineage verification
- Incident response preparedness
- Audit trail adequacy
- Remediation timeline feasibility
Module 3. Pre-Close Integration Planning with ISO 42001
Build integration playbooks that embed ISO 42001 compliance into Day 1 operations.
12 chapters in this module
- Ownership assignment matrix
- Interim control measures
- Cross-silo communication plan
- Tech stack harmonization
- Policy deviation tracking
- Training rollout sequencing
- Key performance indicators
- Regulatory notification triggers
- Stakeholder alignment cadence
- Transition service agreement terms
- Compliance monitoring design
- Post-close audit prep schedule
Module 4. Regulator-Facing Review Preparation
Prepare defensible submissions and responses for regulators reviewing AI use in acquired entities.
12 chapters in this module
- Common regulatory inquiry patterns
- Evidence packaging standards
- Control description templates
- Executive summary drafting
- Risk acceptability thresholds
- Third-party validation use
- Incident history framing
- Oversight committee documentation
- Remediation status reporting
- Timeline alignment with filings
- Cross-border coordination
- Escalation path clarity
Module 5. Board-Prep Documentation for AI Governance
Craft concise, action-oriented briefings that position AI governance as strategic enablement.
12 chapters in this module
- Deal-risk summary framing
- Material exposure quantification
- Governance debt inventory
- Integration milestone tracking
- Key decision point mapping
- Ownership clarity statements
- Control effectiveness indicators
- Compliance risk heatmap
- Stakeholder alignment status
- Regulatory horizon scanning
- Escalation protocol documentation
- Next-step recommendations
Module 6. Escalation Management from Peer Teams
Handle incoming requests and issues from legal, compliance, and technology teams with authority.
12 chapters in this module
- Triage protocol for AI issues
- Escalation intake form design
- Cross-functional ownership rules
- Urgency vs. impact matrix
- Pre-resolution confidence checks
- Peer team communication templates
- Escalation logging standards
- Resolution verification steps
- Lessons captured framework
- Pattern recognition for repeats
- Vendor-related issue routing
- Leadership notification thresholds
Module 7. Vendor AI Governance Assessment
Evaluate third-party AI usage and compliance posture within acquired or partnered entities.
12 chapters in this module
- Vendor AI inventory collection
- Subprocessor transparency review
- Contractual obligation alignment
- Audit rights verification
- Compliance documentation access
- Incident notification terms
- Right to terminate clauses
- AI model risk classification
- Performance monitoring access
- Data processing agreement gaps
- Security control mapping
- Vendor exit planning
Module 8. AI Incident Response in M&A Context
Respond to AI-related incidents discovered pre- or post-close with regulatory and commercial sensitivity.
12 chapters in this module
- Incident classification schema
- Internal reporting workflow
- External notification criteria
- Legal hold procedures
- Communication hierarchy
- Remediation task tracking
- Root cause analysis method
- Stakeholder update cadence
- Regulatory inquiry prep
- Public statement alignment
- Lessons integration plan
- Control enhancement backlog
Module 9. Sustaining ISO 42001 Post-Integration
Ensure long-term conformance after deal close through operationalized governance.
12 chapters in this module
- Ongoing monitoring design
- Control testing frequency
- Internal audit planning
- Management review meetings
- Policy update process
- Training refresh cycle
- Compliance documentation upkeep
- Regulatory change tracking
- Maturity assessment schedule
- Continuous improvement loop
- Stakeholder feedback mechanism
- Governance dashboard design
Module 10. Strategic Positioning in Corporate Development
Position yourself as the internal authority on AI governance in growth initiatives.
12 chapters in this module
- Internal advisory protocol
- Cross-functional influence tactics
- Thought leadership content
- Deal team integration model
- Value attribution framework
- Leadership visibility planning
- Peer recognition benchmarks
- Knowledge transfer design
- Best practice curation
- Lessons across deals
- External benchmark alignment
- Internal certification path
Module 11. AI Governance in Divestitures
Manage AI governance separation in carve-outs and spin-offs with precision.
12 chapters in this module
- Control ownership transfer
- Data lineage separation
- Model access revocation
- Compliance documentation handover
- Audit trail retention
- Vendor contract transition
- Third-party audit support
- Regulatory notification planning
- Oversight continuity
- Post-divestiture engagement
- Liability boundary definition
- Governance transition playbook
Module 12. Future-Proofing AI Governance Strategy
Anticipate evolving standards and regulatory expectations in AI governance.
12 chapters in this module
- Emerging framework tracking
- Regulatory proposal monitoring
- Industry benchmark shifts
- Internal maturity roadmap
- Cross-standard alignment
- Technology horizon scanning
- Talent development planning
- Resource allocation modeling
- Stakeholder expectation mapping
- Innovation enablement balance
- Risk tolerance calibration
- Strategic advisory positioning
How this maps to your situation
- Pre-acquisition due diligence
- Post-close integration planning
- Regulatory review preparation
- Cross-functional escalation management
Before vs. after
Before
AI governance is a black box handled by others; deal risks emerge late, and peer teams bypass your input.
After
You lead the AI governance narrative in transactions, with escalations, reviews, and board materials flowing through your desk as a trusted node.
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 3-4 hours per module, designed for asynchronous progress across a 4-6 week transaction cycle.
If nothing changes
Without deliberate mastery of ISO 42001 in transaction contexts, Corporate Development leaders risk being excluded from high-impact decisions, losing influence to compliance or legal teams, and missing opportunities to shape the strategic narrative around AI risk and value.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to the strategic demands of Corporate Development, focusing on deal-specific applications of ISO 42001 rather than abstract policy writing or IT controls.
Frequently asked
Is this relevant if my deals don't involve AI directly?
Yes, AI governance now underpins data usage, automation, and software IP in most transactions, even when AI isn't the core product.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me during due diligence?
Yes, modules 1, 4 provide targeted tools and checklists for evaluating AI governance in targets using ISO 42001 as the benchmark.
$199 one-time. Approximately 3-4 hours per module, designed for asynchronous progress across a 4-6 week transaction cycle..
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