AI for Procurement Professionals: Practical Applications and Risk Awareness

• Experience in procurement, sourcing, or contract management
• Familiarity with standard procurement processes and terminology
• No prior AI or data science background required

Audience

• Category managers (Managers, Senior Managers, Directors)
• Operational and tactical sourcing professionals
• Procurement and contract management teams

AI-powered tools like ChatGPT, Gemini, and Microsoft 365 Copilot are transforming how procurement professionals perform research, draft documents, analyze supplier data, and manage contracts.

This instructor-led, live training (online or onsite) is aimed at intermediate-level procurement professionals who wish to use AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges.

By the end of this training, participants will be able to:

• Understand and differentiate major AI tools and their relevance to procurement tasks.
• Write effective prompts to improve AI accuracy and reduce risk of misuse.
• Use AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
• Interpret AI-generated outputs responsibly and identify bias or hallucinations.
• Recognize privacy, confidentiality, and ethical concerns when using AI in procurement.
• Apply AI tools to real procurement categories like IT, IFM, Marketing, HR, and more.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world procurement examples.
• Use of live AI tools and prompt crafting practice.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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 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