Learners use their own business processes, tools, risks and decisions rather than generic AI examples.
Enterprise course ยท Procurement, vendor risk and pilot selection
AI Procurement & Vendor Evaluation
Give procurement, legal, IT and department sponsors a practical way to assess AI vendors before contracts are signed. Learners build the questions, scorecards and pilot criteria needed to separate credible AI value from vague vendor claims.
The cohort leaves with policies, playbooks, scorecards, checklists or pilot plans matched to the course theme.
Managers can use the outputs for approval, coaching, procurement, governance, automation or operational change.
Who this course is for
Procurement teams
Teams that need AI-specific RFP questions, scoring criteria and due diligence evidence.
Legal and security reviewers
Stakeholders who need clear evidence on data handling, model behaviour, auditability and contractual risk.
Business sponsors
Leaders comparing AI products and deciding whether a vendor pilot is worth the operational change.
What learners work on
- Define the business problem and success metrics before reviewing vendors.
- Create AI-specific RFP questions covering data, security, model limitations, integrations and human oversight.
- Build a weighted vendor scorecard that includes value, risk, usability, implementation and support.
- Plan a contained pilot with clear acceptance criteria and exit conditions.
- Document the procurement evidence needed for internal sign-off.
- Prepare a recommendation pack for leadership, procurement and risk teams.
Course sprint structure
Clarify the business problem, target users, workflows affected and value measures.
Build the question set for data, security, explainability, implementation and support.
Compare vendors consistently and define what a successful pilot must prove.
Produce a procurement-ready recommendation with risks, assumptions and next steps.
What the business can use afterwards
The course is designed to finish with working artefacts the organisation can review, approve and reuse. This is the commercial point: the training creates practical business infrastructure.
Reusable business outputs
- AI vendor RFP question bank
- Vendor comparison scorecard
- Pilot acceptance criteria
- Security and data due diligence checklist
- Procurement decision memo
- Implementation risk log
Actionable business use cases
Evaluate Microsoft Copilot, ChatGPT Enterprise or specialist AI tools
Use the scorecard to compare value, controls and operational fit across vendors.
Avoid weak pilots
Set acceptance criteria before a demo becomes a long, unfocused trial.
Align procurement and IT
Give commercial, technical and legal reviewers a shared evidence base.
Outcome standard: every cohort should leave with something a manager can open, review and use in a live business decision. The course is not just content consumption; it is a structured way to produce adoption assets.
Turn this course into a business sprint
Run it with one department, one leadership group or one cross-functional AI working group. The goal is a usable output pack, not just attendance.