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Course Outline
Introduction to AI in Procurement
- Defining Generative AI: Core concepts and capabilities.
- Overview of key tools: ChatGPT, Claude, Gemini, and Copilot.
- Current applications of AI within procurement teams.
Crafting Effective Prompts for Procurement Scenarios
- Key principles of clear and structured prompting.
- Common prompt design errors and strategies to avoid them.
- Prompt templates tailored for sourcing, RFQs, and supplier engagement.
AI in Procurement Operations
- Leveraging AI for tender creation, supplier discovery, and market research.
- Generating and reviewing contract clauses using AI assistance.
- Utilizing AI for spend analysis and monitoring supplier performance.
Data Protection and Confidentiality in AI Usage
- Understanding data handling by AI tools.
- Secure management of sensitive and confidential information.
- Ensuring data relevance, accuracy, and verifiability.
AI for Decision Support and Risk Evaluation
- Evaluating and validating AI-generated risk scores and reports.
- Applying AI in supplier risk assessment and predictive analytics.
- Case studies from categories such as IT, GRE/IFM, HR, and Marketing.
Ethics and Risk Awareness in AI-Driven Procurement
- Limitations of generative AI: addressing bias, hallucination, and misuse.
- Regulatory and ethical considerations within procurement workflows.
- Developing internal policies for responsible AI usage.
Driving AI Adoption in Procurement Teams
- Positioning AI as an enabler rather than a replacement.
- Overcoming resistance and fostering trust in AI-generated outputs.
- Internal change management strategies and ideas for pilot projects.
Summary and Next Steps
Requirements
- Previous experience in procurement, sourcing, or contract management.
- Familiarity with standard procurement processes and industry terminology.
- No prior background in AI or data science is required.
Target Audience
- Category Managers (including Senior Managers and Directors).
- Operational and tactical sourcing professionals.
- Procurement and contract management teams.
14 Hours