A tailored course, built for your situation
Pragmatic AI Vendor Risk Assessment for Regulated Industries
A structured, implementation-grade framework for managing AI vendor risk in compliance-sensitive 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 vendor evaluations are often inconsistent, reactive, or siloed, leading to compliance gaps and delayed deployments.
The situation this course is for
As AI adoption grows in regulated environments, teams struggle to assess vendors with a unified, defensible approach. Legal, compliance, security, and procurement often work in isolation, creating friction, rework, and exposure. Existing guidance tends to be high-level or overly technical, leaving practitioners without practical, executable frameworks.
Who this is for
Compliance officers, risk managers, AI governance leads, technology procurement specialists, and product leaders in financial services, healthcare, insurance, energy, and other regulated sectors.
Who this is not for
This course is not for developers seeking to build AI models or for executives wanting only strategic overviews without implementation detail.
What you walk away with
- Apply a standardized risk taxonomy to any AI vendor engagement
- Lead cross-functional due diligence with clear role alignment
- Generate audit-ready assessment documentation
- Evaluate model transparency, data governance, and incident response readiness
- Implement continuous monitoring workflows post-contract
The 12 modules (with all 144 chapters)
Module 1. Foundations of AI Vendor Risk in Regulated Contexts
Introduce core concepts, regulatory drivers, and risk categories specific to AI in compliance-heavy environments.
12 chapters in this module
- Defining AI vendor risk
- Regulatory landscape overview
- Key stakeholders and responsibilities
- Risk vs. innovation balance
- Common failure patterns
- Industry-specific considerations
- Emerging standards and frameworks
- Risk maturity models
- Vendor ecosystem mapping
- Pre-engagement risk profiling
- Risk ownership models
- Course navigation and tools
Module 2. Risk Taxonomy for AI Systems
Break down AI vendor risk into actionable categories with clear definitions and evaluation criteria.
12 chapters in this module
- Functional vs. systemic risk
- Data provenance and lineage
- Model transparency obligations
- Bias and fairness assessment
- Explainability requirements
- Security and access controls
- Incident response readiness
- Third-party dependencies
- Compliance with data laws
- Model drift and degradation
- Human oversight mechanisms
- Termination and exit risks
Module 3. Vendor Due Diligence Framework
Establish a repeatable process for evaluating AI vendors from initial screening to final approval.
12 chapters in this module
- Due diligence lifecycle stages
- Pre-RFP risk screening
- RFP integration strategies
- Requesting evidence vs. assertions
- Onsite vs. remote assessment
- Questionnaire design principles
- Evidence validation techniques
- Gap analysis methods
- Risk weighting models
- Scoring and prioritization
- Escalation pathways
- Approval workflows
Module 4. Compliance Alignment Strategies
Map AI vendor assessments to existing compliance frameworks and audit requirements.
12 chapters in this module
- Integrating with SOC 2
- Aligning with ISO 27001
- GDPR and AI processing
- HIPAA considerations for health AI
- Financial services regulations
- Sector-specific mandates
- Audit trail requirements
- Documentation standards
- Regulatory reporting links
- Internal audit coordination
- Compliance automation tools
- Maintaining alignment over time
Module 5. Security and Data Governance Evaluation
Assess technical safeguards, data handling practices, and infrastructure resilience.
12 chapters in this module
- Data encryption standards
- Access control models
- Penetration testing evidence
- Incident response plans
- Backup and recovery capabilities
- Data residency and transfer
- Subprocessor transparency
- Security certification validation
- API security practices
- Model inversion risks
- Training data provenance
- Data minimization compliance
Module 6. Model Performance and Reliability
Evaluate accuracy, robustness, monitoring, and model lifecycle management.
12 chapters in this module
- Performance metric selection
- Validation dataset quality
- Bias testing protocols
- Stress testing methods
- Model versioning practices
- Monitoring for drift
- Fallback mechanisms
- Error rate transparency
- Latency and uptime SLAs
- Root cause analysis capability
- Model retraining frequency
- Third-party model audits
Module 7. Contractual and Legal Risk Mitigation
Structure agreements to enforce risk controls and protect organizational interests.
12 chapters in this module
- Risk allocation clauses
- Warranties and representations
- Indemnification strategies
- Liability caps and insurance
- Audit rights negotiation
- Data processing agreements
- IP ownership clarity
- Termination for cause
- Change control processes
- Service level agreements
- Dispute resolution mechanisms
- Exit assistance obligations
Module 8. Cross-Functional Alignment and Governance
Coordinate legal, compliance, security, procurement, and business units effectively.
12 chapters in this module
- Stakeholder mapping
- RACI matrix application
- Governance committee setup
- Risk escalation protocols
- Communication templates
- Meeting cadence design
- Decision log maintenance
- Conflict resolution models
- Change management integration
- Training for non-technical reviewers
- Feedback loop creation
- Executive reporting formats
Module 9. Implementation Playbook Development
Customize and operationalize the framework within your organization’s context.
12 chapters in this module
- Assessment workflow design
- Toolchain integration
- Template customization
- Role-based training plans
- Pilot program execution
- Feedback collection methods
- Iteration planning
- Change approval processes
- Knowledge transfer strategies
- Success metric definition
- Scaling from pilot to org-wide
- Playbook version control
Module 10. Continuous Monitoring and Review
Maintain oversight throughout the vendor lifecycle, not just at onboarding.
12 chapters in this module
- Ongoing risk reassessment
- Quarterly review cadence
- Trigger-based re-evaluation
- Performance dashboard design
- Incident follow-up protocols
- Regulatory change alerts
- Vendor audit cycles
- Subprocessor updates
- Model update validation
- Contract renewal reviews
- Stakeholder re-engagement
- Decommissioning oversight
Module 11. Documentation and Audit Readiness
Produce clear, defensible records for internal and external scrutiny.
12 chapters in this module
- Assessment file structure
- Evidence tagging standards
- Version-controlled documentation
- Redaction and confidentiality
- Internal audit preparation
- Regulator inquiry response
- Third-party review packages
- Automated evidence collection
- Retention policies
- Cross-jurisdictional compliance
- Executive summary creation
- Lessons learned archiving
Module 12. Scaling and Maturity Advancement
Evolve from ad hoc assessments to a mature, organization-wide AI vendor risk function.
12 chapters in this module
- Maturity model application
- Centralized vs. decentralized models
- Center of excellence setup
- Training program development
- Metrics for program success
- Benchmarking against peers
- Technology enablement roadmap
- Budget and staffing planning
- Executive sponsorship strategies
- Regulatory engagement
- Thought leadership development
- Future trends and adaptation
How this maps to your situation
- Evaluating first AI vendor
- Scaling AI procurement across departments
- Responding to audit findings
- Building internal AI governance function
Before vs. after
Before
Fragmented, reactive AI vendor assessments with inconsistent documentation and unclear ownership.
After
A standardized, defensible, and scalable process for evaluating and managing AI vendors across the enterprise.
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 flexible, self-paced learning with actionable takeaways at each stage.
If nothing changes
Without a structured approach, organizations face inconsistent evaluations, compliance exposure, delayed deployments, and difficulty defending decisions during audits or incidents.
How this compares to the alternatives
Unlike high-level overviews or academic treatments, this course delivers implementation-grade detail with templates and workflows designed for immediate use in regulated environments.
Frequently asked
Who is this course designed for?
Compliance, risk, procurement, security, and technology leaders in regulated industries managing AI vendor relationships.
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 after finishing all modules and passing the final assessment.
$199 one-time. Approximately 3-4 hours per module, designed for flexible, self-paced learning with actionable takeaways at each stage..
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