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Board-Level AI Procurement Strategy for Established Enterprises

$199.00
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A tailored course, built for your situation

Board-Level AI Procurement Strategy for Established Enterprises

Master the governance, risk, and strategic alignment of enterprise AI sourcing at scale

$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.
Even sophisticated enterprises struggle to procure AI responsibly, balancing innovation speed with compliance, security, and board accountability.

The situation this course is for

AI initiatives often move fast at the technical level but stall at procurement due to misaligned incentives, unclear risk ownership, and lack of board-level criteria. Legal, IT, and business units work in silos, creating delays, rework, and exposure. Without a unified strategy, organizations overpay, under-deliver, or face reputational and regulatory consequences.

Who this is for

Senior business and technology professionals in established enterprises, strategy leads, procurement officers, CIOs, CISOs, compliance directors, and innovation leads, who are responsible for scaling AI with governance rigor.

Who this is not for

This is not for individual contributors focused only on model development, startup founders managing lean AI adoption, or vendors selling AI tools. It’s for enterprise practitioners leading cross-functional AI rollout with board-level implications.

What you walk away with

  • Apply a structured framework to evaluate AI vendors against strategic, technical, and compliance criteria
  • Design procurement workflows that align legal, security, and business stakeholders
  • Communicate AI sourcing decisions effectively to board members and executives
  • Implement risk-tiered contracting strategies for AI services and data usage
  • Build a repeatable AI procurement playbook tailored to enterprise complexity

The 12 modules (with all 144 chapters)

Module 1. The Rise of AI Procurement as a Strategic Function
Understand how AI adoption is reshaping procurement from a transactional to a strategic, governance-led function.
12 chapters in this module
  1. From IT buying to strategic AI sourcing
  2. Why traditional procurement models fail with AI
  3. The board’s growing role in technology oversight
  4. Emerging standards in AI governance and sourcing
  5. Key stakeholders in enterprise AI procurement
  6. Mapping AI risk to procurement decisions
  7. The shift from project to portfolio thinking
  8. Balancing innovation speed and due diligence
  9. Case study: Global bank adopts AI governance council
  10. Case study: Healthcare provider standardizes AI vendor review
  11. Defining success in AI procurement
  12. Building the business case for strategic sourcing
Module 2. Governance Frameworks for AI Sourcing
Learn how to structure oversight bodies, define roles, and integrate AI procurement into enterprise governance.
12 chapters in this module
  1. Designing an AI governance council
  2. Integrating procurement into AI ethics committees
  3. Roles: Sponsor, steward, evaluator, approver
  4. Escalation paths for high-risk AI use cases
  5. Aligning with ESG and corporate responsibility goals
  6. Documenting governance decisions transparently
  7. Audit readiness for AI procurement processes
  8. Linking governance to vendor performance monitoring
  9. Case study: Energy firm creates AI oversight charter
  10. Case study: Retailer aligns AI sourcing with brand values
  11. Maintaining governance agility at scale
  12. Avoiding bureaucracy without sacrificing control
Module 3. Risk Tiering and Vendor Classification
Classify AI vendors by risk level and apply differentiated procurement strategies.
12 chapters in this module
  1. Principles of risk-based vendor classification
  2. High-risk vs. medium vs. low-risk AI systems
  3. Data sensitivity and processing impact assessment
  4. Third-party model dependency risks
  5. Evaluating vendor transparency and explainability
  6. Assessing vendor lock-in and exit strategies
  7. Open source vs. commercial AI procurement
  8. Supply chain resilience for AI services
  9. Case study: Financial services firm tiers 200+ vendors
  10. Case study: Manufacturer evaluates AI maintenance tools
  11. Dynamic reclassification based on usage changes
  12. Documentation standards for risk assessments
Module 4. AI Vendor Evaluation and Due Diligence
Conduct deep technical and operational assessments of AI vendors beyond marketing claims.
12 chapters in this module
  1. Building a standardized AI vendor scorecard
  2. Technical deep dive: model training data and bias checks
  3. Infrastructure and scalability review
  4. Security and penetration testing expectations
  5. Reviewing model performance benchmarks
  6. Assessing vendor incident response maturity
  7. Evaluating update and versioning practices
  8. Human oversight and fallback mechanisms
  9. Case study: Insurer evaluates AI claims processing tools
  10. Case study: Logistics firm assesses route optimization AI
  11. Engaging external experts for validation
  12. Creating a vendor shortlist with justification
Module 5. Contracting for AI: Clauses That Matter
Structure contracts that protect your organization on performance, liability, and data rights.
12 chapters in this module
  1. Performance guarantees and service level agreements
  2. Liability for AI-generated errors or harm
  3. Data ownership and usage rights negotiation
  4. Model retraining and drift monitoring obligations
  5. Audit rights and access to model logs
  6. Termination clauses for underperformance
  7. IP rights for fine-tuned or custom models
  8. Subcontracting and third-party dependencies
  9. Case study: University negotiates AI tutoring platform
  10. Case study: Manufacturer secures IP on co-developed AI
  11. Balancing legal protection with vendor collaboration
  12. Standardizing contract language across categories
Module 6. Pricing Models and Commercial Terms
Evaluate and negotiate AI pricing structures that align with value and risk.
12 chapters in this module
  1. Subscription vs. usage-based vs. outcome-based pricing
  2. Hidden costs in AI vendor pricing
  3. Volume discounts and enterprise agreements
  4. Benchmarking AI costs across peer organizations
  5. Negotiating favorable terms for scale
  6. Cost transparency and reporting requirements
  7. Pilot-to-production pricing transitions
  8. Budgeting for ongoing AI maintenance
  9. Case study: Telecom evaluates AI customer service pricing
  10. Case study: Bank compares AI fraud detection models
  11. Aligning spend with risk tier
  12. Building internal cost allocation models
Module 7. Cross-Functional Alignment and Stakeholder Management
Engage legal, security, compliance, and business units in a unified procurement process.
12 chapters in this module
  1. Mapping stakeholder interests and influence
  2. Creating procurement playbooks for different units
  3. Facilitating joint evaluation sessions
  4. Resolving conflicts between speed and control
  5. Communicating procurement timelines and trade-offs
  6. Building trust between technical and non-technical teams
  7. Involving HR in AI-augmented workforce planning
  8. Engaging finance in AI ROI tracking
  9. Case study: Hospital aligns clinical and IT teams on AI
  10. Case study: Retailer coordinates marketing and compliance
  11. Running procurement readiness assessments
  12. Scaling alignment across global teams
Module 8. Board Communication and Executive Reporting
Translate technical AI procurement decisions into strategic insights for leadership.
12 chapters in this module
  1. What boards need to know about AI sourcing
  2. Reporting risk, value, and progress clearly
  3. Visualizing AI vendor portfolios and exposure
  4. Preparing for board-level procurement reviews
  5. Balancing transparency with confidentiality
  6. Using dashboards for ongoing oversight
  7. Linking AI procurement to enterprise strategy
  8. Handling tough questions from directors
  9. Case study: Board approves AI transformation roadmap
  10. Case study: Audit committee reviews AI risk inventory
  11. Creating executive summaries that drive decisions
  12. Anticipating governance evolution
Module 9. Regulatory and Compliance Integration
Embed evolving AI regulations into procurement criteria and workflows.
12 chapters in this module
  1. Global AI regulation landscape overview
  2. Mapping compliance requirements to vendor questions
  3. Preparing for audits and regulatory inquiries
  4. Aligning with privacy laws (e.g., data subject rights)
  5. Sector-specific rules: finance, healthcare, education
  6. Export controls and cross-border data flows
  7. Transparency and disclosure obligations
  8. Staying ahead of regulatory change
  9. Case study: Bank complies with AI guidance from regulator
  10. Case study: Pharma firm handles AI in clinical trials
  11. Building compliance into vendor onboarding
  12. Training procurement teams on legal updates
Module 10. Ethics, Fairness, and Social Impact in Procurement
Incorporate ethical considerations into vendor selection and contract terms.
12 chapters in this module
  1. Defining organizational AI ethics principles
  2. Assessing vendor alignment with ethical standards
  3. Evaluating fairness and bias mitigation practices
  4. Community and workforce impact assessments
  5. Environmental impact of AI systems
  6. Vendor diversity and inclusion commitments
  7. Whistleblower protections and reporting channels
  8. Public trust and brand reputation risks
  9. Case study: City government evaluates AI for social services
  10. Case study: Tech firm audits AI hiring tool for bias
  11. Creating ethics review checkpoints
  12. Publishing responsible procurement commitments
Module 11. Scaling AI Procurement Across the Enterprise
Move from one-off purchases to a repeatable, enterprise-wide AI sourcing function.
12 chapters in this module
  1. From ad hoc to institutionalized procurement
  2. Centralized vs. decentralized procurement models
  3. Building a center of excellence for AI sourcing
  4. Training procurement teams on AI fundamentals
  5. Integrating AI sourcing into ERP and P2P systems
  6. Automating vendor intake and risk screening
  7. Measuring procurement effectiveness and efficiency
  8. Continuous improvement through feedback loops
  9. Case study: Global insurer standardizes AI intake
  10. Case study: Manufacturer rolls out AI sourcing playbook
  11. Managing global variations in practice
  12. Scaling without losing agility
Module 12. Future-Proofing Your AI Procurement Strategy
Anticipate emerging trends and adapt your strategy for long-term resilience.
12 chapters in this module
  1. Tracking emerging AI capabilities and risks
  2. Preparing for generative AI and agentic systems
  3. Adapting to new trust and safety expectations
  4. Building optionality into vendor relationships
  5. Scenario planning for AI disruption
  6. Investing in internal AI literacy
  7. Collaborating with peer organizations
  8. Contributing to industry standards
  9. Case study: Consortium develops shared AI procurement framework
  10. Case study: Firm prepares for autonomous AI agents
  11. Reviewing and refreshing strategy quarterly
  12. Leading the evolution of responsible AI sourcing

How this maps to your situation

  • You're leading AI adoption but facing delays in vendor approval
  • You need to justify AI investments to executives or board members
  • Your teams are using AI tools without centralized oversight
  • You're building or refining an enterprise AI governance framework

Before vs. after

Before
AI procurement decisions are fragmented, reactive, and siloed, leading to inconsistent risk management, delayed deployments, and misaligned expectations.
After
You lead a coordinated, strategic AI sourcing function that accelerates innovation while maintaining governance, compliance, and board 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 busy professionals to complete at their own pace over 8-12 weeks.

If nothing changes
Without a structured approach, organizations face increased exposure to regulatory scrutiny, vendor lock-in, reputational damage, and wasted investment, while missing opportunities to lead in responsible AI adoption.

How this compares to the alternatives

Unlike generic AI ethics courses or vendor-specific training, this program delivers implementation-grade frameworks tailored to the complexities of enterprise procurement, with actionable tools and real-world case studies from regulated industries.

Frequently asked

Who is this course designed for?
Senior business and technology leaders in established enterprises responsible for AI governance, procurement, compliance, or strategic technology adoption.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a certificate upon completion?
Yes, a digital certificate of completion is awarded after finishing all modules and assessments.
$199 one-time. Approximately 3-4 hours per module, designed for busy professionals to complete at their own pace 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
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