“AI only creates value in procurement when use cases, savings potential and pitfalls are assessed realistically.”
Who it’s for
For procurement teams looking for a grounded starting point with AI. This guide helps readers separate realistic opportunities from hype and build confidence in their next steps.
What to expect
- 01Assess AI through the procurement work it improves, not technology labels or marketing promises.
- 02Match the AI approach to the task: pattern recognition, classification and language processing serve different needs.
- 03Information-heavy tasks such as supplier search and spend analysis offer practical starting points for AI support.
- 04Savings depend on better sourcing and decisions; adopting AI alone does not guarantee a financial return.
- 05Reliable data, process fit and user needs matter as much as the tool when putting AI into practice.
- 06Europe’s research strength does not automatically translate into market leadership; investment and commercialisation also matter.
About the author
As co-founder and product lead at apadua, I work every day with the possibilities of AI in services procurement. This practical guide answers common questions, puts concrete use cases into perspective and clears up widespread myths. My aim is to give you a sound basis for using AI in your day-to-day procurement work.
Topics
- AI in Procurement
- Agentic Procurement
- Human in the Loop
- Procurement Automation
- Use-Case Prioritisation