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Course Outline
Introduction to AI in Procurement
- What is Generative AI? Definitions and capabilities.
- Overview of tools: ChatGPT, Claude, Gemini, Copilot.
- How procurement teams are currently using AI.
Crafting Effective Prompts for Procurement Use Cases
- Principles of prompt clarity and structure.
- Common errors in prompt design and how to avoid them.
- Prompt templates for sourcing, RFQs, and supplier engagement.
AI in Procurement Operations
- AI applications for tender creation, supplier scouting, and market research.
- Generating and reviewing contract clauses with AI.
- Utilizing AI for spend analysis and supplier performance tracking.
Data Protection and Confidentiality in AI Use
- Understanding what happens to your procurement data within AI tools.
- Securely managing sensitive and confidential information.
- Ensuring data relevance, accuracy, and verifiability.
AI for Decision Support and Risk Evaluation
- Reading and validating AI-generated risk scores and reports.
- AI's role in supplier risk assessment and predictive analytics.
- Examples from categories such as IT, GRE/IFM, HR, and Marketing.
Ethics and Risk Awareness in AI-Driven Procurement
- Limitations of generative AI: bias, hallucination, and misuse.
- Regulatory and ethical considerations in procurement workflows.
- Developing responsible AI usage policies internally.
Driving AI Adoption in Procurement Teams
- Positioning AI as an enabler rather than a replacement.
- Overcoming resistance and building trust in AI outputs.
- Internal change management strategies and pilot project ideas.
Summary and Next Steps
Requirements
- Experience in procurement, sourcing, or contract management.
- Familiarity with standard procurement processes and terminology.
- No prior background in AI or data science is required.
Audience
- Category managers (including Managers, Senior Managers, and Directors).
- Operational and tactical sourcing professionals.
- Procurement and contract management teams.
14 Hours