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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 using AI today
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 for tender creation, supplier scouting, and market research
- Generating and reviewing contract clauses with AI
- Use of AI in spend analysis and supplier performance tracking
Data Protection and Confidentiality in AI Use
- What happens to your procurement data in AI tools?
- Managing sensitive and confidential information securely
- Ensuring data relevance, accuracy, and verifiability
AI for Decision Support and Risk Evaluation
- Reading and validating AI-generated risk scores and reports
- AI in supplier risk assessment and predictive analytics
- Examples from categories like IT, GRE/IFM, HR, Marketing
Ethics and Risk Awareness in AI-Driven Procurement
- Limitations of generative AI: bias, hallucination, misuse
- Regulatory and ethical considerations in procurement workflows
- Building responsible AI usage policies internally
Driving AI Adoption in Procurement Teams
- AI as an enabler, not 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 AI or data science background required
Audience
- Category managers (Managers, Senior Managers, Directors)
- Operational and tactical sourcing professionals
- Procurement and contract management teams
14 Hours
