A tailored course, built for your situation
Mastering AI Act for Finance Leaders in High-Growth Tech
Become the go-to governance authority in your finance function without stepping into legal or compliance roles
$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.
Being seen as just a numbers person in a world demanding cross-functional governance influence
The situation this course is for
Finance leaders are increasingly expected to interpret and apply emerging regulations like the AI Act, yet most lack structured guidance tailored to their role, leaving them reactive rather than authoritative.
Who this is for
Finance professionals in high-growth tech companies who interface with data governance, regulatory readiness, and cross-functional risk alignment but don’t own compliance as their primary function.
Who this is not for
Dedicated compliance officers, in-house legal counsel, or AI ethics leads whose primary mandate is regulatory implementation.
What you walk away with
- Recognized internally as the first point of contact for AI Act implications on financial reporting and forecasting
- Produce auditable, framework-aligned documentation that stands up to internal and external scrutiny
- Navigate cross-functional meetings with confidence using precise AI Act terminology and scope boundaries
- Anticipate governance escalations before they become reactive fire drills
- Shape vendor engagement strategies with AI Act requirements baked into financial criteria
The 12 modules (with all 144 chapters)
Module 1. AI Act Foundations for Financial Roles
Understand the core obligations of the AI Act as they apply to financial functions, including risk categorization, transparency requirements, and fiscal liability thresholds.
12 chapters in this module
- Origins of the AI Act
- Scope and territorial reach
- Relevance to US-based tech firms
- Financial accountability clauses
- Risk-based classification system
- Obligations for high-risk AI systems
- Interaction with US financial regulators
- Timeline for enforcement readiness
- Vendor oversight requirements
- Penalties and reporting triggers
- Integration with SOX controls
- Case study: CFO oversight in AI-deploying firms
Module 2. Mapping AI Act to Financial Controls
Link AI Act requirements directly to existing financial reporting frameworks and internal controls.
12 chapters in this module
- Control mapping methodology
- Identifying AI-influenced financial statements
- Materiality thresholds for AI exposure
- Audit trail expectations
- Segregation of duties for AI use
- Documentation standards
- Integration with SOX 404
- Third-party attestation paths
- Internal escalation paths
- Risk weighting AI-driven forecasts
- Capital allocation risks
- Scenario planning under uncertainty
Module 3. Vendor Finance and AI Act Alignment
Evaluate and structure vendor contracts through the lens of AI Act compliance and financial exposure.
12 chapters in this module
- AI use in SaaS vendor offerings
- Due diligence checklists
- Contractual liability clauses
- Indemnification terms
- Right-to-audit provisions
- Data provenance requirements
- Performance guarantees
- Termination triggers
- Insurance requirements
- Subprocessor disclosures
- Cost escalation risks
- Benchmarking vendor readiness
Module 4. Financial Disclosure of AI Exposure
Structure accurate and compliant disclosures about AI use in public and internal reporting.
12 chapters in this module
- Materiality of AI use
- Risk factor language
- MD&A considerations
- Forward-looking statements
- Investor Q&A preparation
- Earnings call talking points
- Internal reporting dashboards
- AI-related CapEx vs OpEx
- R&D tax credit implications
- Scenario-based forecasting
- Reputation risk quantification
- Disclosure playbooks
Module 5. AI Cost Attribution and Compliance
Assign AI-related costs accurately while meeting emerging regulatory expectations.
12 chapters in this module
- Capitalization criteria for AI models
- Depreciation schedules for AI assets
- Operational cost tracking
- Allocation to business units
- Compliance cost measurement
- Benchmarking efficiency gains
- Internal pricing models
- Chargeback frameworks
- Unit economics for AI services
- Cost transparency reports
- Audit-ready cost logs
- ROI calculation methods
Module 6. Cross-Functional Governance Engagement
Lead or influence AI Act readiness discussions across legal, risk, engineering, and finance teams.
12 chapters in this module
- Stakeholder identification
- Meeting facilitation techniques
- Positioning financial insight
- Translating technical risk
- Escalation paths for disputes
- Decision log maintenance
- Documentation ownership
- Meeting rhythm design
- Influence without authority
- Conflict de-escalation
- Building trusted peer networks
- Preparing executive summaries
Module 7. Internal Audit Readiness for AI Systems
Prepare for financial audits that include AI-driven processes and decision systems.
12 chapters in this module
- Audit scope definition
- Evidence collection protocols
- Data lineage expectations
- Model validation documentation
- Version control tracking
- Access logs review
- Bias assessment reporting
- Outcome monitoring systems
- Change management logs
- Quality assurance records
- Remediation workflows
- Pre-audit checklists
Module 8. Scenario Planning Under AI Act Uncertainty
Build resilient financial models that account for regulatory ambiguity and evolving enforcement.
12 chapters in this module
- Regulatory uncertainty modeling
- Three-tiered scenario framework
- Probability weighting
- Contingency funding
- Legal reserve estimation
- Insurance coverage gaps
- Reputation risk modeling
- Market reaction simulations
- Stress testing financials
- Board-level communication
- Crisis response planning
- Recovery timeline modeling
Module 9. Building Repeatable Governance Playbooks
Create internal standards that ensure consistent, scalable responses to AI governance questions.
12 chapters in this module
- Playbook design principles
- Template creation
- Approval workflows
- Version control
- Storage and access
- Training integration
- Feedback loops
- Integration with PMO
- Tool stack alignment
- Automation opportunities
- Metrics for effectiveness
- Continuous improvement
Module 10. Executive Communication on AI Governance
Frame AI Act readiness clearly and confidently for non-technical leadership.
12 chapters in this module
- Executive summary structure
- Key message development
- Visual storytelling
- Risk framing
- Opportunity articulation
- Timeline communication
- Resource requests
- C-level Q&A prep
- One-pager design
- Presentation rhythm
- Feedback incorporation
- Narrative consistency
Module 11. AI Act and Strategic Financial Planning
Incorporate regulatory requirements into long-term financial strategy and investment decisions.
12 chapters in this module
- Strategic risk integration
- Investment gating criteria
- M&A due diligence
- Partnership evaluation
- Innovation budgeting
- Compliance cost forecasting
- Talent investment
- Technology roadmap alignment
- Scenario-based funding
- Exit planning triggers
- Stakeholder alignment
- Long-term narrative
Module 12. Sustaining Authority and Visibility
Maintain recognition as a trusted voice in AI governance over time and across organizational changes.
12 chapters in this module
- Thought leadership paths
- Internal publishing
- Conference participation
- Mentorship roles
- Cross-functional projects
- Succession planning
- Documentation survival
- Leadership transitions
- Knowledge transfer
- Reputation tracking
- Visibility metrics
- Legacy creation
How this maps to your situation
- Regulatory change interpretation
- Cross-functional leadership
- Executive communication
- Long-term strategic influence
Before vs. after
Before
AI governance questions go unanswered or get deferred to legal teams, limiting finance's strategic role.
After
You're consistently named as the person who connects financial accountability with AI Act compliance, shaping decisions before they escalate.
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, designed to fit around executive workloads. Total time: ~36 hours over 8-12 weeks.
If nothing changes
Without structured knowledge, finance leaders risk being bypassed in key AI governance conversations, leading to misaligned budgets, reactive compliance, and lost influence.
How this compares to the alternatives
Generic AI compliance courses focus on technical implementation or legal requirements. This course is uniquely tailored to finance leaders who need to exercise influence without owning compliance.
Frequently asked
Is this course only for EU-based companies?
No. The AI Act affects any company offering AI systems in the EU or impacting EU citizens. Most US tech firms with international reach must comply.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this replace my legal team’s work?
No. It complements legal efforts by equipping finance leaders to contribute meaningfully and confidently to governance discussions.
$199 one-time. Approximately 3 hours per module, designed to fit around executive workloads. Total time: ~36 hours over 8-12 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