Governance, Risk & Compliance
AI Procurement and Vendor Risk Management
AI Procurement and Vendor Risk Management helps organizations translate obligations and risk principles into owned controls and credible evidence. Participants examine AI requirement definition, vendor due diligence, and data IP and security terms before producing a governance profile, control map, and implementation roadmap.
Overview
Practical learning for workplace transfer.
The course is designed around the decisions practitioners actually face in AI Procurement and Vendor Risk Management. Its progression—from AI requirement definition through performance and exit controls—uses evidence review, responsibility mapping, and implementation workshops. The final procurement evaluation exercise requires participants to justify recommendations, test assumptions, and set practical next steps.
Objectives
- Explain the role, scope, and business significance of AI requirement definition in helping organizations translate obligations and risk principles into owned controls and credible evidence.
- Diagnose vendor due diligence through evidence review, responsibility mapping, and implementation workshops and prioritize the most material gaps.
- Design an approach to data IP and security terms with the roles, safeguards, dependencies, and evidence needed to produce a governance profile, control map, and implementation roadmap.
- Evaluate performance and exit controls using measures and failure scenarios appropriate to evidence review, responsibility mapping, and implementation workshops.
- Complete the procurement evaluation exercise and translate its findings into owned actions leading toward a governance profile, control map, and implementation roadmap.
Target audience
- Governance, risk, compliance, privacy, and assurance leaders
- Policy owners, internal auditors, legal liaison, and control specialists
- AI, data, sustainability, procurement, and accessibility program owners
- Executives accountable for oversight, evidence, and organizational readiness
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: AI requirement definition
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Establish the vocabulary, boundaries, stakeholders, and decision context for AI requirement definition.
Convert the analysis into a role-specific governance diagnostic with explicit owners and decision gates. Separate established requirements and reliable evidence from untested assumptions about AI requirement definition.
Peer-review feasibility, unintended effects, and the evidence required before approval. Map AI requirement definition to the organization’s current responsibilities, dependencies, and constraints.
Module 2: vendor due diligence
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Diagnose the current state of vendor due diligence using a structured evidence review.
Convert the analysis into a role-specific evidence review with explicit owners and decision gates. Compare alternative methods and select an approach suited to risk, maturity, and scale.
Peer-review feasibility, unintended effects, and the evidence required before approval. Document requirements, owners, decision criteria, and exceptions for vendor due diligence.
Module 3: data IP and security terms
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Design the workflow, safeguards, and handoffs required for data IP and security terms.
Convert the analysis into a role-specific implementation roadmap with explicit owners and decision gates. Test normal, failure, and edge-case scenarios before operational adoption.
Peer-review feasibility, unintended effects, and the evidence required before approval. Review the design for security, quality, accessibility, sustainability, or assurance implications as relevant.
Module 4: performance and exit controls
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Define meaningful measures, evidence, review cadence, and escalation thresholds for performance and exit controls.
Convert the analysis into a role-specific governance diagnostic with explicit owners and decision gates. Investigate performance gaps and separate root causes from symptoms.
Peer-review feasibility, unintended effects, and the evidence required before approval. Plan corrective action, controlled change, and accountable follow-through.
Module 5: Applied AI Procurement and Vendor Risk Management Workshop
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Complete a evidence review that integrates the course decisions around procurement evaluation exercise.
Convert the analysis into a role-specific evidence review with explicit owners and decision gates. Defend recommendations against a realistic stakeholder challenge or scenario.
Peer-review feasibility, unintended effects, and the evidence required before approval. Produce a prioritized workplace action plan with owners, dependencies, and review points.
Materials provided
- Course workbook and subject reference guide
- Applied scenarios, worksheets, and decision templates
- Implementation checklist or roadmap canvas
- 4D Certificate of Completion
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
For AI Procurement and Vendor Risk Management, 4D configures the scenarios, evidence, and final deliverable—a governance profile, control map, and implementation roadmap—around the client’s operating reality. The facilitator challenges participants’ decisions and leaves the team with reviewed work products, not only presentation notes. Third-party certification, regulatory approval, and guaranteed compliance are never implied.
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