Training course – EU AI Act & AI Compliance – Procurement

EU AI Act & AI Compliance for Procurement Teams

Putting the EU AI Act into practice: risk categories, deployer obligations, AI literacy under Art. 4, AI policy and GDPR interfaces.

Duration
6 hours, one session
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“EU AI Act & AI Compliance for Procurement Teams” is designed for roles such as Strategic buyers and category managers, Operational buyers and material planners and Heads of procurement and CPOs and shows step by step how to use EU AI Act & AI Compliance productively, safely and transparently in Procurement – from the fundamentals to advanced workflows.

The EU AI Act is the first comprehensive legal framework for artificial intelligence, and it applies not only to providers but also to organisations that use AI systems in their daily work. In this compact course you will learn how the regulation is structured: prohibited practices, high-risk systems, transparency obligations and general-purpose AI models. You will find out which role your organisation plays as a deployer, which obligations follow and how to record and classify the AI applications you use in a structured way.

The practical part turns the requirements into manageable steps. You clarify what the AI literacy obligation under Article 4 means in concrete terms, how to organise training in a verifiable way and what an internal AI policy should cover. You also examine the interfaces with the GDPR, such as legal bases, data protection impact assessments and automated decision-making. You leave with an AI inventory template, a draft policy and a clear compliance roadmap for your area of work.

Procurement has evolved from order processing into a strategic value driver: cutting costs, securing supply, managing supply chain risk and meeting sustainability requirements. Generative AI supports buyers in every phase of the source-to-pay process. AI assistants draft specifications and tender documents, compare bids, summarise supplier contracts and prepare negotiations with arguments and scenarios. AI agents and automation research potential suppliers, analyse spend data, monitor risk signals such as insolvency or delivery delays and process order confirmations. This gives procurement more time for supplier development and strategic category management. Reliable master data, clear approval rules and careful handling of confidential terms and supplier information remain essential.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Strategic buyers and category managers
  • Operational buyers and material planners
  • Heads of procurement and CPOs
  • Supplier managers and supplier quality engineers
  • Public sector procurement staff

Typical challenges we address

  • Comparing bids with different structures quickly and fairly
  • Keeping track of supplier risks and supply chain due diligence obligations
  • Drafting precise tender documents and specifications
  • Making spend data from different systems usable for analysis

What you will be able to do

  • You can explain how the EU AI Act is structured and assign your organisation to the correct roles.
  • You can classify the AI applications in use by risk category and maintain an AI inventory.
  • You can name the specific obligations of deployers and derive appropriate measures.
  • You can develop an AI literacy concept under Article 4 and a draft internal AI policy.
  • Use AI for tenders, bid comparisons and negotiation preparation.
  • Analyse spend and supplier risks with AI support in a data-driven way.
  • Take confidentiality, public procurement law and supply chain due diligence into account when using AI.

Course outline

Module 1 Structure and logic of the EU AI Act
  • Objectives, scope and phased application of the regulation
  • Roles at a glance: provider, deployer, importer and distributor
  • The risk-based approach: prohibited practices, high risk, limited risk and minimal risk
  • Specific rules for general-purpose AI models
Module 2 Classifying risk in practice
  • Prohibited practices such as social scoring or emotion recognition in the workplace
  • High-risk areas under Annex III, including recruitment, creditworthiness and education
  • Transparency obligations for chatbots, synthetic content and deepfakes
  • Recording and classifying your own AI applications in an AI inventory
Module 3 Obligations for deployers of AI systems
  • Use in line with instructions and human oversight by competent staff
  • Input data quality, monitoring of operation and retention of logs
  • Informing employees and affected persons and reporting serious incidents
  • Fundamental rights impact assessment: when it is required and how it works
Module 4 AI literacy under Art. 4 and internal AI policy
  • What sufficient AI literacy means for different roles
  • Designing training concepts and documenting measures verifiably
  • Components of an AI policy: approved tools, data classes, approvals and labelling
  • Responsibilities, AI officers and involving the works council and IT
Module 5 GDPR interfaces and governance
  • Legal bases, purpose limitation and data minimisation when using AI
  • Data protection impact assessment and its relationship to the fundamental rights assessment
  • Automated individual decisions, data subject rights and data processing agreements
  • Compliance roadmap: priorities, ownership and regular review
Module 6 Practice lab: Procurement
  • Drafting specifications
  • Bid comparison
  • Negotiation preparation
  • Supplier research
  • Spend analysis
  • Supplier risk monitoring
Module 7 Data protection, quality & transfer to daily work
  • Bids, terms and supplier contracts are trade secrets and may only be processed in approved AI environments; contact details are subject to the GDPR. Public contracting authorities must also comply with procurement law and equal treatment, and companies may be subject to supply chain due diligence legislation.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting specifications

An AI assistant turns requests from business units into structured requirement specifications and statements of work, closes gaps by asking follow-up questions and keeps wording product-neutral.

Bid comparison

AI extracts prices, lead times, payment terms and deviations from the request from differently structured bids and builds a comparison matrix as the basis for the award decision.

Negotiation preparation

Market information, price trends and supplier history are turned into negotiation strategies with targets, concessions and arguments, plus role plays to prepare for difficult conversations.

Supplier research

AI supports the search for alternative sources, summarises publicly available information on potential suppliers and creates questionnaires for supplier qualification.

Spend analysis

Spend data from ERP exports is classified with AI support, mapped to categories, consolidation opportunities identified and results presented clearly for management.

Supplier risk monitoring

Automations monitor news and public sources on key suppliers; AI assesses signals of insolvency, sanctions or human rights risks and alerts the responsible people early.

Prerequisites

No legal background is required. A basic knowledge of the GDPR and an overview of the AI applications used or planned in your area are helpful. You work in procurement or purchasing and know your organisation's sourcing processes.

Technical requirements

All you need is a laptop with an up-to-date browser and an office suite for working with templates. No special AI licences are necessary.

Data protection & compliance

Bids, terms and supplier contracts are trade secrets and may only be processed in approved AI environments; contact details are subject to the GDPR. Public contracting authorities must also comply with procurement law and equal treatment, and companies may be subject to supply chain due diligence legislation.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Tue, 15 December 2026 6 hrs Request
  • Salzburg Thu, 10 December 2026 6 hrs Request
  • Berlin Thu, 10 December 2026 6 hrs Request
  • Augsburg Tue, 15 December 2026 6 hrs Request
  • Hanover Fri, 11 December 2026 6 hrs Request
  • Bremen Thu, 10 December 2026 6 hrs Request
  • Stuttgart Tue, 15 December 2026 6 hrs Request
  • Kaiserslautern Wed, 16 December 2026 6 hrs Request
  • Online Fri, 11 December 2026 6 hrs Request

Frequently asked questions

Does the EU AI Act apply to companies that only use AI tools?

Yes. Anyone using AI systems under their own authority in a professional context is a deployer. All deployers must, in particular, ensure that their staff have sufficient AI literacy. Where high-risk systems are used, for example in recruitment, further obligations apply, such as human oversight, logging and informing the people affected.

Does this course satisfy the training obligation under Article 4?

The course covers core AI literacy content and you receive a certificate of attendance that you can add to your documentation. However, Article 4 requires measures tailored to role, prior knowledge and context of use. That is why you also learn how to set up and maintain your own AI literacy concept for your organisation.

Does the course replace legal advice?

No. The training provides practical knowledge for specialists and managers so they can interpret requirements, ask precise questions and implement first measures. For binding assessments of individual systems, especially in high-risk areas, you should involve your legal department, your data protection officer or external specialist lawyers.

May AI decide on contract awards?

AI can structure and compare bids and highlight anomalies. The award decision is made by procurement according to defined criteria. In the public sector, the decision must also be documented and traceable under procurement law. We show how to integrate AI support transparently into your award process.

How do we protect confidential supplier terms?

Use only approved enterprise environments where inputs are not used for training and data processing is contractually governed. Terms offered by other bidders must never find their way into communication with suppliers. In the course we discuss practical rules for handling sensitive procurement data.

How much does “EU AI Act & AI Compliance for Procurement Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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