The Power of AI in Procurement

This programme is designed for:

• Purchasing Clerk / Buyer
• Category Manager
• Procurement Manager
• CPO / Director

This intensive programme equips procurement professionals at all organisational levels with the knowledge and practical skills needed to leverage artificial intelligence to drive business impact.

Upon completion of this programme, participants will be able to:

• Design and implement tailored system prompts for specific procurement use cases
• Apply AI tools across the entire source-to-pay cycle to achieve measurable efficiency improvements
• Evaluate and mitigate AI-related risks in procurement contexts, including data security considerations
• Develop a personalised 90-day AI adoption roadmap aligned with organisational strategic objectives
• Lead AI transformation initiatives using appropriate governance frameworks

Module 01: Knowledge Check AI Proficiency (focus on Procurement)

Duration: 30 minutes | 08:30 - 09:00

• Knowledge check: CRISP framework and LLM’s capabilities, limitations and safe use principles
• Core Concepts: Chain of thought, self-critique, Retrieval-Augmented Generation (RAG), fine-tuning, Reinforced Learning from Human Feedback (RLHF) and autonomous and multimodal AI
• Re-anchoring key concepts by building procurement-specific system prompts and skills with persistent context
• Practical template library: RFQ generation, contract analysis, supplier research

Quiz: 10 procurement-related questions on the prerequisite e-learnings Exercise: Applying the RFQ Assistant system prompt to generate a complete Request for Quotation3

Module 02: AI-Powered Market Intelligence & Strategic Sourcing

Duration: 75 minutes | 09:00 - 10:15

• Classification of categories using internal spend data and supply-market signals (Kraljic matrix)
• Supplier sourcing and initial qualification workflows
• Market research methodology: formulating research questions, sequential search, synthesis

Exercise 1: Using the Spend Category system prompt to generate a Kraljic matrix4
Exercise 2: Blending the Supplier Research system prompt and the Research Assistant system prompt to perform market research and establish sourcing strategy5
Break: 10:15 - 10:30

Module 03: AI-Driven Spend Analytics & TCO Calculation

Duration: 60 minutes | 10:30 - 11:30

• Automated spend classification and savings opportunity identification
• Quotation comparison methodology: weighted evaluation matrices and TCO calculation

Exercise: Applying the Comparison of Quotations skill to evaluate 3 supplier bids with weighted scoring and comparing the output to the corresponding system prompt

Module 04: AI-Enhanced Negotiation Preparation

Duration: 45 minutes | 11:30 - 12:15

• Negotiation leverage identification
• BATNA and ZOPA calculation
• Multiple scenario forecast Exercise: Preparing supplier negotiation based on TCO comparison from module 03 by applying either negotiation coach skill or negotiation coach system prompt

Exercise: Preparing supplier negotiation based on TCO comparison from module 03 by applying either negotiation coach skill or negotiation coach system prompt
Lunch: 12:15 - 13:15

Module 05: Contract Intelligence

Duration: 45 minutes | 13:15 - 14:00

• Contract summarisation, key term extraction, and risk identification
• Automated clause extraction and classification across large contract portfolios
• Extracting deliverables, SLAs and milestones from signed contracts into a structured obligation register

Exercise: Analysing sample contract to identify main risks and reviewing output through self-critique technique

Module 06: Supplier Risk & Performance Intelligence

Duration: 60 minutes | 14:00 - 15:00

• Multi-dimensional supplier risk assessment: financial, geopolitical, ESG factors
• Real-time monitoring approaches and early warning signal identification
• Corrective Action Plans (CAPs) drafted by AI, reviewed by the buyer, and tracked to closure with automated reminders
• Performance dashboarding and continuous improvement strategies

Exercise: KPI generation from operational data (OTIF, NCRs, SLA) Case Study: Supply chain disruption scenario: using AI to assess impact and identify alternatives
Break: 15:00 – 15:15

Module 07: Building the Business Case & ROI

Duration: 60 minutes | 15:15 - 16:15

• Quantifying AI Value in Procurement
• Direct cost savings opportunities
• Indirect value creation
• ROI calculation frameworks

Exercise: Building a RAG-based procurement dashboard with Claude Code/Cowork Business Case: Developing role-appropriate value propositions

Module 08: Governance, Compliance & Avoiding Common Mistakes

Duration: 15 minutes | 16:15 - 16:30

• Understanding your role as a "Deployer" under Regulation (EU) 2024/1689
• Risk classification of procurement AI tools: Minimal, Limited, High and Unacceptable Risk
• Key compliance obligations: transparency, human-in-the-loop, data integrity, explainability
• Data-driven decisions: avoiding incomplete or outdated data foundations
• Defining clear objectives: ensuring AI optimisation delivers measurable improvements

Group Discussion: Participants share real-world AI implementation challenges and co-develop mitigation strategies

Module 09: Preview on Higher Proficiency, Implementation Roadmap & Conclusion

Duration: 30 minutes | 16:30 - 17:00

• API integration with procurement systems (ERP, P2P, CLM)
• Multi-agent orchestration for complex workflows
• Autonomous execution within defined guardrails
• Near-autonomous procurement for routine categories
• Implementation blueprint: Foundation ? Expansion ? Scale phases

Exercise: Each participant develops a personal 90-day AI adoption roadmap with 3 quick wins

At the end of the training programme, participants will receive a Certificate of Participation issued by the House of Training.