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Course Outline

Introduction to AI in Procurement

  • Definition and capabilities of Generative AI.
  • Overview of key tools: ChatGPT, Claude, Gemini, and Copilot.
  • Current applications of AI within procurement teams.

Crafting Effective Prompts for Procurement Use Cases

  • Principles of clarity and structure in prompt design.
  • Common errors in prompt creation and strategies to avoid them.
  • Prompt templates tailored for sourcing, RFQs, and supplier engagement.

AI in Procurement Operations

  • Leveraging AI for tender creation, supplier scouting, and market research.
  • Generating and reviewing contract clauses using AI.
  • Utilizing AI for spend analysis and tracking supplier performance.

Data Protection and Confidentiality in AI Use

  • Understanding data handling 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.
  • Applying AI 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

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