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Duration 14 hours
Course Outline
Intro to AI in Procurement
- Understanding Generative AI: Core definitions and capabilities
- Tool overview: ChatGPT, Claude, Gemini, and Copilot
- Current trends in AI adoption by procurement teams
Developing Effective Prompts for Procurement
- Key principles for prompt clarity and structure
- Identifying and avoiding common prompt design pitfalls
- Template development for sourcing, RFQs, and supplier interactions
AI in Procurement Operations
- Applying AI to tender creation, supplier discovery, and market research
- AI-assisted generation and review of contract clauses
- Utilizing AI for spend analysis and tracking supplier performance
Data Security and Confidentiality in AI
- Understanding how procurement data is handled within AI tools
- Secure management of sensitive and confidential information
- Ensuring the relevance, accuracy, and verifiability of data
AI for Decision Support and Risk Assessment
- Interpreting and validating AI-generated risk scores and reports
- Leveraging AI for supplier risk evaluation and predictive analytics
- Case studies from IT, GRE/IFM, HR, and Marketing sectors
Ethics and Risk Management in AI-Driven Procurement
- Limitations of generative AI, including bias, hallucination, and misuse
- Regulatory and ethical factors in procurement processes
- Developing internal policies for responsible AI usage
Fostering AI Adoption in Procurement Teams
- Positioning AI as a complementary tool rather than a replacement
- Building trust in AI outputs and addressing team resistance
- Strategies for internal change management and pilot projects
Recap and Future Directions
Requirements
- Background in procurement, sourcing, or contract administration
- Proficiency with standard procurement processes and industry terminology
- No prior experience in AI or data science is necessary
Target Audience
- Category leaders (Managers, Senior Managers, Directors)
- Operational and tactical sourcing experts
- Procurement and contract management teams