A tailored course, built for your situation
Influence Across More Business Units with AI Act Readiness
Turn emerging regulation into strategic reach as a technical leader
$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
Technical practitioner transitioning into influence-heavy roles at AI-forward organizations
Who this is not for
Executives seeking board-level narratives, or engineers wanting tool-specific certifications
What you walk away with
- Lead AI Act compliance mappings that business units proactively adopt
- Present structured next steps to legal and product stakeholders with confidence
- Anticipate escalation paths before cross-team friction emerges
- Align data governance patterns with high-risk AI use case requirements
- Become the default reference for AI regulation readiness within your org
The 12 modules (with all 144 chapters)
Module 1. AI Act Scope Mapping for Technical Teams
Identify which AI systems fall under high-risk categories using real regulatory text and precedent. Build clear boundaries between R&D and compliance scope.
12 chapters in this module
- High-risk vs limited-risk AI categorization
- Regulatory text interpretation for engineers
- Use case boundary setting
- Deriving technical requirements from Article 6
- Mapping AI Act obligations to system design
- Precedent from EU pilot implementations
- Cross-functional input collection
- Avoiding overcompliance traps
- Documenting rationale for reviewers
- Versioning compliance decisions
- Linking to model cards
- Tracking changes across updates
Module 2. Stakeholder Alignment Before Escalation
Design communication rhythms that preempt conflict. Equip product leads with what they need before legal gets involved.
12 chapters in this module
- Identifying influence points by function
- Translating compliance into product trade-offs
- Building shared definitions of risk
- Pre-meeting alignment packets
- Managing legal expectations early
- Handling roadmap conflicts
- Escalation path anticipation
- Framing constraints as enablers
- Using AI Act to justify tech debt paydown
- Creating feedback loops with engineering
- Tracking decision latency
- Reducing rework through clarity
Module 3. High-Risk Use Case Pattern Recognition
Spot high-risk applications in design phases. Apply precedent from financial services, healthcare, and hiring tech.
12 chapters in this module
- Pattern recognition from EU enforcement memos
- Biometric identification systems
- Critical infrastructure monitoring
- Credit scoring logic
- Recruitment automation
- Remote identification tools
- Emotion recognition pitfalls
- Medical diagnostics integration
- Generative AI in public services
- Vulnerable population impacts
- Third-party vendor risk inheritance
- Supply chain dependencies
Module 4. Data Governance for AI Act Compliance
Align data lineage, quality, and documentation practices with AI Act Article 10 and 11 requirements.
12 chapters in this module
- Data provenance for training sets
- Bias assessment documentation
- Version-controlled data dictionaries
- Annotating sensitive data sources
- Retention rules for model inputs
- Audit trail integration
- Human oversight data points
- Logging model feedback loops
- Ensuring reproducibility
- Dataset drift detection
- Metadata completeness checks
- Cross-border data flow flags
Module 5. Transparency Obligations by Role
Tailor outputs to developers, deployers, and end-users. Meet Article 13 requirements without overloading teams.
12 chapters in this module
- User-facing documentation standards
- Developer transparency packs
- Deployer accountability layers
- Model card components
- Summary technical documentation
- Public register formatting
- Version update notifications
- Right to explanation design
- Language accessibility rules
- Third-party consumption guides
- Monitoring dashboards for ops
- Incident reporting templates
Module 6. Human Oversight Integration Design
Build in meaningful human review points that satisfy Article 14 without creating bottlenecks.
12 chapters in this module
- Defining meaningful intervention
- Stop-the-line authority design
- Escalation trigger identification
- Role-based override workflows
- Training for human reviewers
- False positive tolerance settings
- Intervention logging standards
- Feedback loop to model tuning
- Audit readiness for oversight logs
- Shift handoff oversight
- Multi-jurisdictional alignment
- Review frequency calibration
Module 7. Risk Management System Deployment
Implement a living risk register tied to AI Act Articles 9 and 17. Connect it to incident response and change control.
12 chapters in this module
- Dynamic risk register architecture
- Linking to NIST AI RMF tiers
- Automated risk scoring triggers
- Change control integration
- Incident escalation mapping
- Third-party risk ingestion
- Model retraining thresholds
- Version-to-version comparability
- Cybersecurity interaction points
- SOC 2 overlap management
- Internal audit handoff
- External verifier access design
Module 8. Fundamental Rights Impact Assessment
Conduct assessments that satisfy Article 18 and preempt regulatory scrutiny in hiring, housing, and credit domains.
12 chapters in this module
- EU Charter of Fundamental Rights alignment
- Right to non-discrimination checks
- Privacy by default integration
- Freedom of expression considerations
- Due process for algorithmic decisions
- Bias testing across demographics
- Remediation path design
- Stakeholder review cycles
- Documentation for auditors
- Public consultation integration
- Ongoing monitoring thresholds
- Remediation tracking systems
Module 9. Technical Documentation That Survives Review
Create living artefacts that pass auditor scrutiny and remain useful to engineering teams.
12 chapters in this module
- Versioned documentation trees
- Linking architecture decisions to compliance
- Automated checklist integration
- Change tracking across model versions
- Audit-ready summary formats
- Cross-functional readability rules
- Incident replay documentation
- Model performance thresholds
- Error rate reporting standards
- Security testing integration
- Penetration test inclusion
- External dependency mapping
Module 10. AI Act and NIST AI RMF Integration
Harmonize AI Act requirements with NIST AI RMF practices to avoid redundant work.
12 chapters in this module
- Mapping AI Act to NIST functions
- Overlapping control rationalization
- Risk tier alignment
- Governance workflow merging
- Single source of truth design
- Cross-standard reporting
- Unified training programs
- Vendor assessment alignment
- Audit planning synergy
- Incident response unification
- Metrics consolidation
- Leadership reporting simplification
Module 11. Cross-Team Implementation Playbook
Roll out AI Act readiness across data science, engineering, legal, and product with shared workflows.
12 chapters in this module
- Phased rollout strategy
- Pilot team selection
- Feedback loop design
- Training material customization
- Role-specific checklists
- Cross-functional sync points
- Toolchain integration
- Incident simulation drills
- Compliance debt tracking
- Stakeholder confidence metrics
- Adaptation to internal processes
- Scaling beyond pilot
Module 12. Scaling Influence Without Formal Authority
Lead adoption through credibility, not title. Become the go-to person across teams.
12 chapters in this module
- Credibility through consistency
- Owning outcomes not just inputs
- Building shared success metrics
- Pre-emptive communication design
- Creating pull not push
- Leveraging early wins
- Cross-team visibility tactics
- Documentation as influence
- Feedback-seeking as leadership
- Narrative control in meetings
- Becoming the default reviewer
- Institutionalizing best practices
How this maps to your situation
- When launching a new AI product line
- Before regulatory review cycles begin
- After organizational restructuring
- During vendor integration projects
Before vs. after
Before
Working in technical silos with limited cross-functional influence
After
Leading AI Act readiness initiatives across data, legal, and product teams
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: 45 minutes per module, designed to be completed over six weeks with real-world application
If nothing changes
Staying in execution mode while others define the governance narrative
How this compares to the alternatives
Unlike generic AI ethics courses, this program delivers precise AI Act implementation patterns used by teams in regulated markets. No theory , just actionable frameworks and templates.
Frequently asked
Is this course technical enough for engineers?
Yes. It focuses on translating regulation into system design, documentation, and governance workflows engineers actually use.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover ISO 42001 or NIST AI RMF?
It integrates NIST AI RMF where it overlaps with AI Act requirements, and provides mapping guidance for future ISO 42001 alignment.
$199 one-time. 45 minutes per module, designed to be completed over six weeks with real-world application.
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