A tailored course, built for your situation
Tailored AI Governance & Compliance Accelerator
Operationalize AI Act and NIS2 compliance with precision, built for today’s data-led risk leads
$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.
Falling behind on AI Act and NIS2 compliance while juggling legacy frameworks and rising audit pressure?
The situation this course is for
You're leading compliance in a high-velocity environment where outdated templates and generic playbooks fail. Regulators demand proof of AI impact assessments, data lineage, and breach readiness, yet most resources offer theory, not execution. The gap isn't knowledge, it's implementation speed. Without a tailored path, you risk reactive firefighting, delayed approvals, and exposure during audits.
Who this is for
Senior compliance and data governance leads responsible for AI Act, NIS2, and cross-border data compliance in tech-forward organizations
Who this is not for
Entry-level compliance staff, consultants selling generalized frameworks, or teams not actively implementing AI or cybersecurity regulations
What you walk away with
- Deploy a compliant AI governance framework aligned with current regulatory expectations
- Execute AI impact assessments with auditable documentation
- Integrate NIS2 cybersecurity controls into existing compliance workflows
- Reduce implementation lag with pre-built templates and decision trees
- Strengthen cross-functional alignment between legal, security, and AI development teams
The 12 modules (with all 144 chapters)
Module 1. AI Act Compliance Foundations
Break down the AI Act’s core obligations with a focus on high-risk classification, transparency duties, and documentation standards relevant to current deployments.
12 chapters in this module
- Scope of AI Act
- High-risk criteria
- Prohibited practices
- Transparency rules
- Obligations for providers
- Obligations for deployers
- Conformity assessments
- Technical documentation
- Record-keeping rules
- Market surveillance
- Penalties framework
- Jurisdictional overlap
Module 2. NIS2 Directive Implementation
Map NIS2 requirements to technical and organizational measures, focusing on incident reporting, risk management, and supply chain obligations.
12 chapters in this module
- NIS2 scope
- Essential entities
- Incident reporting
- Risk assessment
- Security policies
- Supply chain rules
- Board accountability
- Audit readiness
- Cross-border rules
- Penalties structure
- Reporting timelines
- Documentation standards
Module 3. AI Risk Assessment Frameworks
Build defensible AI risk assessments using structured scoring, data provenance tracking, and bias detection protocols.
12 chapters in this module
- Risk scoring model
- Data source audit
- Bias detection
- Impact severity
- Likelihood matrix
- Third-party risk
- Human oversight
- Version control
- Model drift
- Fallback mechanisms
- Red team testing
- Audit trail
Module 4. Data Protection by Design
Embed GDPR-aligned data protection principles into AI system architecture from inception to deployment.
12 chapters in this module
- Privacy impact
- Data minimization
- Purpose limitation
- Storage limits
- Pseudonymization
- Access controls
- Consent mechanisms
- Data subject rights
- Breach protocols
- Processor agreements
- Cross-border transfer
- Data retention
Module 5. AI Documentation Standards
Generate regulator-ready technical documentation for AI systems, including model cards, system logs, and compliance attestations.
12 chapters in this module
- Model card format
- System description
- Training data
- Performance metrics
- Use case limits
- Version history
- Compliance statement
- Audit trail
- Third-party tools
- Update logs
- Decommissioning
- Archival rules
Module 6. Human Oversight Mechanisms
Design effective human-in-the-loop controls for high-risk AI systems, ensuring meaningful intervention capability.
12 chapters in this module
- Oversight scope
- Intervention points
- Training needs
- Escalation paths
- Monitoring tools
- Decision logging
- Fallback process
- Response time
- Accountability
- Audit readiness
- Role clarity
- System feedback
Module 7. AI Incident Response
Establish protocols for detecting, classifying, and reporting AI-related incidents under NIS2 and AI Act timelines.
12 chapters in this module
- Incident definition
- Detection methods
- Classification rules
- Escalation workflow
- NIS2 reporting
- AI Act reporting
- Internal comms
- External disclosure
- Remediation steps
- Post-mortem
- Regulator comms
- Documentation
Module 8. Third-Party AI Vendor Management
Assess and manage compliance risk in AI supply chains, focusing on due diligence and contract enforcement.
12 chapters in this module
- Vendor screening
- Due diligence
- Contract clauses
- Audit rights
- Compliance proof
- Subprocessor rules
- Liability terms
- Exit clauses
- Performance SLAs
- Data handling
- Security checks
- Renewal review
Module 9. AI Compliance Audits
Prepare for internal and external audits with checklists, evidence trails, and auditor engagement strategies.
12 chapters in this module
- Audit scope
- Evidence collection
- Document trails
- Interview prep
- Gap analysis
- Remediation plan
- Follow-up
- Internal audit
- External audit
- Regulator prep
- Corrective actions
- Audit closure
Module 10. Cross-Regulation Alignment
Harmonize AI Act, NIS2, and GDPR compliance efforts to reduce duplication and increase operational efficiency.
12 chapters in this module
- Regulation mapping
- Control overlap
- Unified policies
- Single audit trail
- Cross-team alignment
- Efficiency gains
- Risk aggregation
- Policy harmonization
- Training alignment
- Reporting synergy
- Tool consolidation
- Compliance dashboard
Module 11. Board-Level Compliance Reporting
Translate technical compliance into strategic insights for executive leadership and board accountability.
12 chapters in this module
- Risk summary
- Incident overview
- Audit status
- Resource needs
- Regulatory changes
- Compliance score
- Action items
- Timeline view
- Budget impact
- Strategic alignment
- Risk appetite
- Board presentation
Module 12. Future-Proofing AI Governance
Adapt compliance frameworks to evolving regulations, emerging AI capabilities, and shifting threat landscapes.
12 chapters in this module
- Regulatory monitoring
- Change impact
- Update process
- Stakeholder input
- Scenario planning
- Technology shifts
- Threat modeling
- Policy iteration
- Compliance testing
- Feedback loops
- Scaling rules
- Decommissioning
How this maps to your situation
- Leading AI compliance in regulated sectors
- Preparing for NIS2 and AI Act audits
- Managing third-party AI risk
- Reporting to executive leadership
Before vs. after
Before
Overwhelmed by overlapping AI and cybersecurity regulations, relying on generic guidance with little execution clarity.
After
Equipped with a tailored, actionable roadmap to implement compliant AI systems and pass audits with confidence.
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 completion in parallel with active compliance initiatives.
If nothing changes
Without a structured approach, teams face regulatory penalties, failed audits, operational delays, and reputational damage from non-compliant AI deployments.
How this compares to the alternatives
Generic compliance courses offer broad overviews but lack the specificity needed for AI Act and NIS2 implementation. This course delivers targeted, executable guidance tailored to the current regulatory landscape and real-world deployment challenges.
Frequently asked
Who is this course designed for?
Compliance leads, DPOs, and governance professionals actively implementing AI Act, NIS2, or related cybersecurity and data protection regulations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a money-back guarantee?
Yes, 30-day money-back guarantee if the course doesn’t meet expectations.
$199 one-time. Approximately 3-4 hours per module, designed for completion in parallel with active compliance initiatives..
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