A tailored course, built for your situation
Compliance-Ready AI Vendor Risk Assessment for Mid-Market Operations
Master implementation-grade risk frameworks for AI adoption in mid-market environments
$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.
AI adoption is accelerating, but inconsistent vendor evaluation leaves mid-market firms exposed to compliance gaps and operational friction
The situation this course is for
Mid-market teams lack standardized, scalable methods to assess AI vendors. Legal, security, and operations often work in silos, creating delays, inconsistent risk thresholds, and audit vulnerabilities. Without a unified framework, organizations default to reactive, ad-hoc reviews that slow innovation and increase exposure.
Who this is for
Compliance officers, risk managers, IT leaders, and operations professionals in mid-market organizations implementing or scaling AI-powered solutions
Who this is not for
Enterprise GRC teams with mature AI risk programs, individual contributors without cross-functional influence, or vendors selling AI tools
What you walk away with
- Apply a standardized, repeatable AI vendor risk assessment framework
- Align legal, security, compliance, and operations teams around shared risk criteria
- Accelerate procurement cycles while maintaining regulatory alignment
- Document due diligence processes for audit readiness
- Reduce integration failures through pre-contract technical and compliance validation
The 12 modules (with all 144 chapters)
Module 1. Foundations of AI Vendor Risk in Mid-Market Contexts
Establish core definitions, scope boundaries, and risk typologies unique to mid-market AI adoption
12 chapters in this module
- Defining AI vendor risk in non-enterprise settings
- Mapping compliance obligations across jurisdictions
- Common pitfalls in mid-market vendor selection
- Regulatory drivers shaping AI procurement
- Balancing innovation speed with due diligence
- Key differences: AI vs traditional software risk
- Stakeholder alignment fundamentals
- Risk tolerance benchmarking
- Vendor ecosystem complexity levels
- Scalability constraints in mid-market IT
- Third-party dependency mapping
- Building the business case for structured assessment
Module 2. Compliance Framework Integration
Integrate evolving standards from NIST, ISO, and sector-specific regulators into vendor evaluation
12 chapters in this module
- NIST AI RMF alignment strategies
- Mapping vendor controls to ISO 42001
- Sector-specific compliance expectations
- Data sovereignty and residency rules
- Recordkeeping and audit trail requirements
- Cross-border data transfer implications
- Certification validation techniques
- Regulatory change monitoring systems
- Compliance debt in vendor contracts
- Document retention obligations
- Right-to-audit clause structuring
- Third-party attestation interpretation
Module 3. Vendor Due Diligence Workflows
Implement structured technical and operational due diligence across the AI lifecycle
12 chapters in this module
- Pre-RFP risk scoping
- Questionnaire design for AI-specific risks
- Technical validation checklists
- Model transparency expectations
- Training data provenance assessment
- Bias detection readiness review
- API security configuration review
- Incident response coordination planning
- Change management process evaluation
- Model update governance
- Performance degradation monitoring
- Fallback mechanism verification
Module 4. Contractual Risk Mitigation
Embed compliance-ready terms into procurement agreements and SLAs
12 chapters in this module
- AI-specific warranty clauses
- Liability allocation frameworks
- Indemnification for IP infringement
- Model drift liability boundaries
- Data ownership and usage rights
- Subprocessor disclosure requirements
- Penalty structures for noncompliance
- Termination rights for ethical violations
- Access rights for model auditing
- Data deletion and portability terms
- Exit strategy planning
- Transition assistance obligations
Module 5. Security and Data Protection Alignment
Ensure vendor practices meet internal security policies and privacy standards
12 chapters in this module
- Encryption in transit and at rest validation
- Access control model review
- Penetration testing rights
- Vulnerability disclosure processes
- PII handling compliance
- Data minimization verification
- Anonymization effectiveness assessment
- Breach notification timelines
- Security certification validation
- SOC 2 Type II interpretation
- Third-party penetration test review
- Incident response playbooks integration
Module 6. Operational Resilience Planning
Evaluate vendor reliability, continuity, and support readiness
12 chapters in this module
- Uptime and availability benchmarking
- Disaster recovery readiness review
- Geographic redundancy validation
- Support response time SLAs
- Escalation path clarity
- Knowledge transfer planning
- Single point of failure identification
- Third-party dependency mapping
- Vendor financial stability indicators
- Insurance coverage verification
- Succession planning review
- Crisis communication alignment
Module 7. Ethical AI Governance Integration
Incorporate fairness, accountability, and transparency standards into vendor assessment
12 chapters in this module
- Bias mitigation strategy review
- Algorithmic impact assessment requirements
- Human oversight mechanisms
- Explainability expectations
- Stakeholder feedback loops
- Ethical review board alignment
- Contested decision processes
- Redress mechanisms evaluation
- Fairness metric validation
- Diversity in training data assessment
- Community impact considerations
- Ethical incident reporting systems
Module 8. Cross-Functional Team Alignment
Orchestrate coordinated evaluation across legal, security, compliance, and operations
12 chapters in this module
- RACI matrix development
- Shared risk scoring systems
- Interdepartmental communication protocols
- Conflict resolution frameworks
- Decision rights clarification
- Unified assessment templates
- Stakeholder interview guides
- Consensus-building techniques
- Executive reporting dashboards
- Governance committee structuring
- Feedback integration workflows
- Change approval processes
Module 9. Audit Readiness and Documentation
Prepare comprehensive, defensible records for internal and external review
12 chapters in this module
- Due diligence trail creation
- Risk assessment documentation standards
- Version control for evaluation artifacts
- Retention period alignment
- Regulator-facing summary reports
- Third-party auditor preparation
- Findings remediation tracking
- Evidence collection protocols
- Document classification systems
- Access control for audit files
- Chain of custody procedures
- Automated reporting integration
Module 10. Continuous Monitoring and Reassessment
Establish ongoing vendor oversight beyond initial procurement
12 chapters in this module
- Ongoing risk scoring systems
- Trigger-based reassessment rules
- Performance deviation alerts
- Regulatory change impact analysis
- Annual review frameworks
- Key risk indicator tracking
- Vendor self-reporting validation
- Third-party monitoring tools
- Compliance drift detection
- Market change response planning
- Recontracting negotiation prep
- Exit readiness maintenance
Module 11. Implementation Playbook Integration
Deploy the tailored implementation playbook across organizational workflows
12 chapters in this module
- Playbook customization guidelines
- Department-specific rollout planning
- Change management communication
- Training material development
- Pilot program design
- Feedback collection systems
- Iteration planning
- Success metric definition
- Leadership engagement strategies
- Resource allocation planning
- Timeline development
- Barrier anticipation techniques
Module 12. Scaling and Maturity Advancement
Evolve from ad-hoc reviews to institutionalized, scalable AI vendor risk management
12 chapters in this module
- Maturity model benchmarking
- Process automation opportunities
- Centralized vendor registry design
- Knowledge management systems
- Training program development
- Cross-organization best practice sharing
- Lessons learned integration
- Benchmarking against peers
- Continuous improvement cycles
- Leadership reporting structures
- Strategic roadmap development
- External validation preparation
How this maps to your situation
- Assessing a new AI vendor for procurement
- Responding to a compliance audit finding
- Scaling AI adoption across departments
- Revising existing vendor contracts
Before vs. after
Before
Reactive, siloed evaluations with inconsistent risk thresholds and limited audit readiness
After
Proactive, standardized, and defensible AI vendor risk assessment processes aligned across 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: Approximately 3 hours per module, designed for asynchronous learning with practical application between sections.
If nothing changes
Organizations without structured AI vendor assessment face increased compliance exposure, integration failures, and operational delays as regulatory scrutiny intensifies and vendor ecosystems grow more complex.
How this compares to the alternatives
Unlike generic AI ethics courses or enterprise-focused GRC programs, this course is tailored to mid-market realities, practical, implementation-grade, and aligned with actual procurement, legal, and operational constraints.
Frequently asked
Who is this course designed for?
Compliance, risk, and operations leaders in mid-market organizations who are responsible for assessing or approving AI vendors.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a certificate upon completion?
Yes, a certificate of completion is issued through the Art of Service learning environment.
$199 one-time. Approximately 3 hours per module, designed for asynchronous learning with practical application between sections..
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