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Duration 14 hours
Course Outline
Fundamentals of AI in Procurement
- Defining Generative AI and exploring its core capabilities.
- A comparative overview of key tools: ChatGPT, Claude, Gemini, and Copilot.
- Current trends in how procurement teams are integrating AI.
Designing Effective Prompts for Procurement Scenarios
- Core principles for creating clear, structured prompts.
- Identifying and mitigating common prompt design flaws.
- Developing prompt templates for sourcing, RFQ management, and supplier interactions.
Applying AI to Procurement Operations
- Utilizing AI for tender development, supplier discovery, and market investigation.
- Assisting in the generation and review of contract terms.
- Enhancing spend analysis and supplier performance monitoring with AI.
Safeguarding Data and Confidentiality with AI
- Understanding how procurement data is handled within AI systems.
- Strategies for securely managing sensitive and confidential information.
- Ensuring the relevance, precision, and verifiability of data.
AI for Strategic Decision Support and Risk Analysis
- Validating and interpreting AI-generated risk assessments and reports.
- Leveraging AI for supplier risk evaluation and predictive modeling.
- Practical examples from IT, GRE/IFM, HR, and Marketing categories.
Ethical Considerations and Risk Awareness in AI-Driven Procurement
- Addressing limitations of generative AI, including bias, hallucinations, and potential misuse.
- Navigating regulatory and ethical frameworks in procurement processes.
- Establishing internal policies for responsible AI utilization.
Facilitating AI Adoption Across Procurement Teams
- Positioning AI as a supportive enabler rather than a replacement for human expertise.
- Building trust in AI outputs and overcoming team resistance.
- Implementing internal change management tactics and pilot project initiatives.
Concluding Remarks and Future Directions
Requirements
- Professional background in procurement, sourcing, or contract administration.
- Working knowledge of standard procurement procedures and industry terminology.
- No previous experience in AI or data science is necessary.
Target Audience
- Category managers at various levels (Manager, Senior Manager, Director).
- Professionals engaged in operational and tactical sourcing activities.
- Teams responsible for procurement and contract management functions.
