Generative AI Applications for Procurement Innovation

Programme outline

Learning objectives

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

  • Understand where low-code/no-code (LCNC) and GenAI tools add value in procurement
  • Digitise manual procurement workflows using Google Forms, Sheets, and AppSheet
  • Automate procurement processes using Apps Script and Make.com
  • Use NotebookLM to analyse procurement documents and supplier information
  • Build Artificial Intelligence (AI) copilots using MindStudio for procurement support tasks
  • Evaluate the strengths and limitations of the LCNC and GenAI platforms
  • Translate procurement needs into simple digital and AI-enabled solutions
  • Design and present a practical procurement innovation prototype
Day 1
  • Why procurement innovation does not require coding
  • Common procurement processes suitable for digitisation
  • LCNC vs traditional IT development
  • Where GenAI fits — and where it does not
  • Designing effective procurement forms (RFQs, requests, registers)
  • Structuring Google Sheets for downstream automation
  • Data validation, visibility, and auditability
  • Common mistakes in form-driven processes
  • What Apps Script is (conceptually, not coding theory)
  • Automating email notifications and approvals
  • Updating statuses and logs automatically
  • Understanding triggers and guardrails
Day 2
  • When to use apps vs spreadsheets
  • Building a simple procurement tracking app
  • Views, permissions, and controls
  • Governance and adoption considerations
  • Role of automation platforms in procurement
  • Connecting forms, sheets, and notifications
  • Designing rule-based workflows
  • Error handling and process reliability
  • Combining Forms, Sheets, Apps Script, AppSheet, and Make.com
  • Designing a complete procurement workflow
  • Balancing automation with controls
  • What not to automate
Day 3
  • Using NotebookLM for supplier and document analysis
  • Working with policies, contracts, and sourcing documents
  • Asking better questions, not just better prompts
  • Risks and limitations of GenAI outputs
  • What AI copilots are (and are not)
  • Designing procurement support agents
  • Use cases: sourcing analysis, supplier reviews, policy guidance
  • Governance, trust, and adoption
  • Module review & assessment
  • Structured recap of key frameworks and concepts
  • Open Q&A and clarification
Assessment
  • In-class participation
  • Individual assessment
  • Group work
What’s next

Find out more

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