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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 applications 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 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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