A tailored course, built for your situation
Mastering OECD AI Principles for Sales Development Practitioners
Build authoritative command of AI governance foundations to lead smarter customer conversations and drive strategic engagement.
$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
Sales Development professional at a data and AI platform company engaging technical buyers on governance topics
Who this is not for
This is not for AI policy researchers, compliance auditors, or engineering leads implementing model cards. It is tailored specifically for frontline revenue practitioners who need to speak confidently about governance frameworks.
What you walk away with
- Full framework literacy: recite all five OECD AI Principles and their operational implications without reference
- Precise articulation of accountability, transparency, and fairness expectations in customer discussions
- Access to real-world adoption examples and jurisdictional interpretations
- Ability to distinguish OECD AI Principles from EU AI Act and ISO 42001 without confusion
- Structured talking points for engaging compliance officers and chief AI officers
The 12 modules (with all 144 chapters)
Module 1. Introduction to OECD AI Principles
Establish the foundation of the OECD AI Principles, their global adoption, and relevance to vendor selection and procurement due diligence.
12 chapters in this module
- Origin of the OECD AI Principles
- Five pillars overview
- U.S. federal alignment
- Adoption in G7 economies
- Link to national AI strategies
- Role in public procurement
- Private sector uptake patterns
- Mapping to ethical AI
- Relationship to innovation incentives
- Baseline expectations for vendors
- How regulators cite the framework
- Common misinterpretations
Module 2. Principle 1: Inclusive Growth and Well-being
Explore how AI should benefit people and planet, with emphasis on measurable outcomes in public-sector RFPs.
12 chapters in this module
- Defining inclusive growth
- Well-being metrics used
- Labor market impacts
- Stakeholder consultation norms
- Public service improvements
- Accessibility integration
- Bias mitigation goals
- Sustainable development links
- Equity benchmarks
- Vendor responsibility scope
- Procurement scoring criteria
- Case study: national health system
Module 3. Principle 2: Human-Centered Values
Detail how human rights, ethics, and fairness anchor AI deployment decisions in regulated markets.
12 chapters in this module
- Human rights foundations
- Fairness definitions
- Bias detection standards
- Redress mechanisms
- Consent models
- Autonomy preservation
- Ethics review boards
- Transparency duties
- Data dignity principles
- Accountability chains
- Stakeholder feedback loops
- Case study: credit scoring system
Module 4. Principle 3: Transparency and Explainability
Break down expectations for documentation, model disclosure, and audit trail requirements in commercial use.
12 chapters in this module
- Disclosure expectations
- Model cards overview
- System logs retention
- Explainability techniques
- Stakeholder communication norms
- Documentation depth
- Audit readiness
- Third-party review access
- Customer-facing summaries
- Technical documentation tiers
- Version control tracking
- Case study: insurance underwriting
Module 5. Principle 4: Robustness and Safety
Analyze reliability, security, and testing standards required to meet OECD expectations in production AI.
12 chapters in this module
- Risk classification tiers
- Testing protocols
- Failure mode analysis
- Cybersecurity integration
- Reliability benchmarks
- Adversarial testing
- Monitoring in production
- Incident response planning
- System resilience design
- Validation methods
- Compliance verification
- Case study: autonomous vehicle fleet
Module 6. Principle 5: Accountability Mechanisms
Map organizational responsibilities, oversight structures, and governance models aligned with OECD guidance.
12 chapters in this module
- Governance framework design
- Oversight body roles
- Audit committee duties
- Escalation paths
- Performance metrics
- Vendor accountability
- Third-party assurance
- Internal controls
- Reporting lines
- Liability frameworks
- Remediation processes
- Case study: financial services platform
Module 7. OECD vs. EU AI Act
Contrast the OECD principles with binding EU legislation and clarify implications for global vendors.
12 chapters in this module
- Scope differences
- Enforcement mechanisms
- High-risk classification
- Conformity assessment
- Technical documentation
- Market surveillance
- Penalty structures
- Extraterritorial reach
- Certification pathways
- Timeline for compliance
- Vendor obligations
- Case study: cross-border deployment
Module 8. OECD vs. ISO 42001
Compare the OECD framework with the emerging ISO standard for AI management systems.
12 chapters in this module
- Standardization level
- Management system requirements
- Certifiability
- Audit preparedness
- Governance documentation
- Risk treatment plans
- Internal review cycles
- Continuous improvement
- Certification bodies
- Global recognition
- Adoption timelines
- Case study: multinational rollout
Module 9. Using the Framework in Sales Conversations
Equip practitioners with scripts, rebuttals, and positioning strategies for customer engagement.
12 chapters in this module
- Intro framing techniques
- Handling procurement questions
- Differentiating offerings
- Addressing compliance concerns
- Positioning beyond features
- Linking to business outcomes
- Tailoring to industry
- Responding to RFPs
- Building trusted advisor status
- Escalating to specialists
- Avoiding overcommitment
- Case study: enterprise deal cycle
Module 10. Articulating Value to Compliance Teams
Develop language that resonates with legal, risk, and governance buyers in regulated sectors.
12 chapters in this module
- Speaking compliance language
- Mapping to control frameworks
- Supporting audit readiness
- Demonstrating due diligence
- Reducing buyer risk
- Aligning with policy goals
- Documentation assurance
- Vendor assessment alignment
- Third-party validation
- Regulator confidence
- Long-term defensibility
- Case study: healthcare provider
Module 11. Handling Objections and Gaps
Prepare for common pushbacks and knowledge gaps with evidence-backed responses.
12 chapters in this module
- ‘We already comply’
- ‘It’s too vague’
- ‘Not legally binding’
- ‘Too high-level’
- ‘We follow NIST’
- ‘No certification’
- ‘Not applicable to us’
- ‘We’ll wait for regulation’
- ‘Too costly’
- ‘We have our own framework’
- ‘We’re exempt’
- ‘We’re not deploying AI’
Module 12. Advanced Positioning and Thought Leadership
Turn mastery into influence by shaping internal narratives and external engagements.
12 chapters in this module
- Internal training delivery
- Contributing to policy input
- Positioning in webinars
- Writing bylines
- Speaking at events
- Engaging analysts
- Customer advisory boards
- Sales playbooks
- Competitive differentiation
- Market education
- Trusted resource status
- Leadership visibility
How this maps to your situation
- Early-stage customer engagement
- Procurement due diligence
- Compliance objection handling
- Cross-functional collaboration
Before vs. after
Before
Navigating AI governance conversations with fragmented knowledge and reactive responses
After
Leading discussions with authoritative command of the OECD AI Principles and clear articulation of compliance alignment
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 2.5 hours per module, designed for completion in 6 weeks with weekly study blocks of 60 minutes.
If nothing changes
Without structured mastery, practitioners risk misrepresenting governance expectations, losing credibility in technical sales cycles, or being bypassed in procurement reviews that require precise compliance articulation.
How this compares to the alternatives
Unlike generic AI ethics overviews or academic deep dives, this course focuses exclusively on the OECD AI Principles as applied in commercial sales and procurement contexts, providing actionable fluency, not theoretical alignment.
Frequently asked
Who is this course designed for?
Sales Development professionals engaging buyers on AI governance topics in data, analytics, and AI platform companies.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me answer procurement questionnaires?
Yes, each principle is mapped to common procurement due diligence items and response templates.
$199 one-time. Approximately 2.5 hours per module, designed for completion in 6 weeks with weekly study blocks of 60 minutes..
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