TAYLLORCOX brings a practical view on the topic "AI Act and projects: what to change in supply management". How to implement European transparency and documentation requirements in AI projects.
The article is based on current topics in the training and certification field (inspired by, for example, the TAYLLORCOX blog at tx.cz) and connects them with project and service management.
Three areas in the project
First of all, clarify the context: what outputs does your team need to deliver, what regulations or strategic priorities apply, and where are the biggest risks. Without this, the methodology becomes just a template.
We recommend combining the official syllabus with internal lessons learned. Brief retros after each wave of changes significantly increase the chance that new habits will stick.
Classification of use cases and risk levels.
Data governance and provenance.
Testing and human oversight.
Tips for PM
Below we provide three concrete steps that you can implement even without a large budget.
Include AI requirements in the definition of ready.
Connect the legal team with architecture.
Budget for audit trail.
Summary
If you want deeper guidance or certified training, contact the TAYLLORCOX team – we will prepare a course, workshop, or a combination of e-learning and in-person instruction according to your goals.
Quick comparison
The table contains approximate data; the final offer always depends on the course date and format.
AI regulation is part of scope, not an add-on.
Do not forget to involve HR and security roles early – the sooner they are part of the plan, the less rework at the end of the project or audit.
Training | AI governance workshop |
Investment | custom |
Time frame | 1 to 2 days |
Want to continue? Check out the course dates for PRINCE2®, ITIL® and other standards at prince2.cz or write to a consultant – we are happy to recommend the right combination of modules.
