A tailored course, built for your situation
Influence in vendor selection through ISO 42001 readiness
Become the internal reference for AI governance decisions that stick
$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
Mid-level technical practitioner in consulting or services firm, working at the intersection of software engineering and compliance, with exposure to AI projects and governance frameworks.
Who this is not for
Executives seeking board-level summaries, or engineers focused only on model tuning without governance exposure.
What you walk away with
- Lead vendor selection discussions with structured ISO 42001 control alignment
- Produce peer-reviewed decision logs that reduce post-deployment escalations
- Anchor AI governance conversations in artefacts others defer to
- Position yourself as the default assessor on high-visibility AI deployments
- Navigate technical trade-offs with documented reasoning accepted across teams
The 12 modules (with all 144 chapters)
Module 1. Mapping ISO 42001 to technical AI workflows
Learn how to translate high-level ISO 42001 clauses into engineering tasks for model development, data provenance, and deployment pipelines.
12 chapters in this module
- What ISO 42001 means for AI engineers
- Clause 8 1: Understanding intent vs implementation
- Clause 8 2: Defining human oversight boundaries
- Clause 8 3: Bias assessment frequency by use case
- Clause 8 4: Documentation depth per risk tier
- Clause 8 5: Training data traceability standards
- Clause 8 6: Model monitoring thresholds
- Clause 8 7: Change control for AI updates
- Clause 8 8: Versioning for model rollback
- Clause 8 9: Incident response playbooks
- Clause 8 10: Audit readiness checklist
- Clause 8 11: Stakeholder communication rhythm
Module 2. Vendor selection decision frameworks
Build defensible evaluation criteria that align technical fit with ISO 42001 control requirements.
12 chapters in this module
- Identifying control gaps in vendor proposals
- Scoring model explainability features
- Assessing vendor data governance maturity
- Evaluating third-party audit readiness
- Mapping vendor SLAs to internal controls
- Weighting security vs speed trade-offs
- Creating side-by-side comparison matrices
- Benchmarking against ISO 42001 Annex A
- Documenting rationale for escalation paths
- Including exit cost analysis
- Testing interoperability assumptions
- Defining long-term compliance drift guardrails
Module 3. Building influence through decision logs
Create peer-accepted records that position you as the reference point for future AI governance calls.
12 chapters in this module
- Structuring decision logs for technical clarity
- Including control mapping for each choice
- Versioning decisions alongside code
- Adding escalation rationale for auditors
- Using templates for consistency
- Archiving logs in shared repositories
- Tagging decisions by ISO 42001 clause
- Linking logs to risk registers
- Referencing logs in incident reviews
- Updating logs after new findings
- Training others to use your format
- Reducing rework through documentation
Module 4. Control mapping for AI systems
Turn ISO 42001 requirements into actionable control assignments across data, models, and infrastructure.
12 chapters in this module
- Decomposing Clause 8 into tasks
- Assigning ownership for each control
- Creating evidence collection workflows
- Automating control monitoring
- Integrating with CI CD pipelines
- Setting control review frequency
- Calibrating thresholds by risk level
- Linking controls to vendor contracts
- Documenting inherited controls
- Managing control exceptions
- Reporting control status to leads
- Updating controls after incidents
Module 5. Peer review protocols for AI governance
Design review processes that build credibility and reduce rework in cross-functional settings.
12 chapters in this module
- Scheduling reviews by project phase
- Preparing pre-read packages
- Including control evidence upfront
- Using checklists for consistency
- Capturing feedback in logs
- Tracking resolution of comments
- Escalating unresolved items
- Maintaining reviewer history
- Recognizing contributor input
- Reducing review cycle time
- Improving reviewer turnout
- Building review templates
Module 6. Stakeholder alignment on AI risks
Align engineering, compliance, and business teams around shared definitions and response expectations.
12 chapters in this module
- Defining risk appetite for AI
- Creating joint severity scales
- Mapping use cases to tiers
- Setting escalation thresholds
- Running tabletop exercises
- Documenting response playbooks
- Training teams on protocols
- Reviewing incidents quarterly
- Updating playbooks after events
- Measuring response effectiveness
- Reducing ambiguity in crises
- Building cross-team trust
Module 7. Readiness artefacts that scale
Produce templates and playbooks that compound value across multiple engagements.
12 chapters in this module
- Designing reusable assessment templates
- Creating standard control mappings
- Building vendor evaluation scorecards
- Developing onboarding checklists
- Producing incident response kits
- Assembling audit preparation packs
- Maintaining versioned repositories
- Tagging artefacts by use case
- Sharing artefacts across teams
- Improving templates over time
- Reducing setup time for new projects
- Increasing consistency across units
Module 8. Decision authority in technical trade-offs
Navigate conflicts between speed, security, and compliance using documented frameworks.
12 chapters in this module
- Framing trade-offs objectively
- Using ISO 42001 as anchor
- Presenting balanced options
- Documenting assumptions
- Including peer input
- Highlighting long-term risks
- Proposing mitigation paths
- Recommending paths forward
- Gaining consensus efficiently
- Reducing escalation frequency
- Building credibility over time
- Owning technical governance tracks
Module 9. Governance in AI deployment pipelines
Embed ISO 42001 compliance into CI/CD workflows to reduce manual rework.
12 chapters in this module
- Automating data lineage capture
- Validating model cards at merge
- Enforcing approval gates
- Scanning for policy violations
- Generating compliance reports
- Integrating with ticketing
- Alerting on control drift
- Rolling back non-compliant models
- Auditing pipeline changes
- Maintaining pipeline documentation
- Training engineers on gates
- Reducing deployment bottlenecks
Module 10. Strategic visibility in technical reviews
Position your work to be seen and referenced by senior practitioners across engagements.
12 chapters in this module
- Choosing high-impact projects
- Sharing artefacts proactively
- Presenting at cross-team forums
- Linking work to business goals
- Using consistent terminology
- Highlighting risk reduction
- Documenting lessons learned
- Building reputation over time
- Increasing request volume
- Shaping future priorities
- Becoming the default assessor
- Influencing roadmap inputs
Module 11. Ownership of vendor governance track
Lead end-to-end from RFP to renewal with consistent control oversight.
12 chapters in this module
- Initiating vendor assessments
- Leading technical deep dives
- Negotiating control commitments
- Onboarding with documentation
- Monitoring ongoing compliance
- Conducting periodic reviews
- Managing contract renewals
- Handling performance issues
- Documenting exit plans
- Reducing vendor-related escalations
- Improving time-to-value
- Building repeatable vendor playbooks
Module 12. Sustaining influence after deployment
Maintain relevance by designing feedback loops that keep governance visible post-launch.
12 chapters in this module
- Setting post-deployment review cadence
- Collecting operational metrics
- Monitoring for control drift
- Updating documentation
- Sharing lessons across teams
- Improving future designs
- Reducing incident recurrence
- Building maintenance playbooks
- Training support teams
- Documenting decommissioning
- Archiving project records
- Increasing stakeholder trust
How this maps to your situation
- When starting a new AI project
- During vendor evaluation cycles
- Before internal audits
- After incidents or near misses
Before vs. after
Before
Ad-hoc input on vendor tools, limited influence beyond immediate team, reactive compliance efforts
After
Consistent inclusion in selection discussions, peer-referenced decision logs, structured control mappings used across projects
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 hours per module, with self-paced access and lifetime updates.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses on technical implementation of ISO 42001 in AI systems, with templates and playbooks built for consulting environments where influence is earned through artefacts, not titles.
Frequently asked
Is this course only for compliance officers?
No, it's designed for technical practitioners in engineering, architecture, or advisory roles who influence AI governance through implementation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get practical templates?
Yes, each module includes downloadable templates and real-world examples you can adapt immediately.
$199 one-time. Approximately 3 hours per module, with self-paced access and lifetime updates..
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