/ THE SHORT ANSWER
- 01Inventory systems by intended use, not vendor marketing category.
- 02Clarify provider, deployer, importer, and distributor roles where relevant.
- 03Record classification, transparency, oversight, documentation, and review decisions.
/ dotSuper point of view
Regulatory readiness starts with knowing what the system does, where it acts, who is affected, and who holds each obligation. An “AI-powered” procurement label is not a compliance classification.
What the evidence says
The Commission’s current implementation material emphasises risk assessment, data quality, logging, documentation, deployer information, human oversight, robustness, cybersecurity, and accuracy for high-risk systems, with phased application dates.
A practical decision framework
It is designed to make the decision inspectable, not to imitate a platform ranking formula, certification checklist, or legal test.
- System inventory: purpose, users, affected people, territory, supplier, and owner.
- Role and risk screen: provider/deployer status, prohibited use, high-risk area, or transparency case.
- Evidence file: instructions, limitations, logs, data information, oversight, testing, and incidents.
- Review triggers: use change, model change, supplier update, geography, new users, or new consequence.
| Step | Decision to record |
|---|---|
| 01 | System inventory: purpose, users, affected people, territory, supplier, and owner. |
| 02 | Role and risk screen: provider/deployer status, prohibited use, high-risk area, or transparency case. |
| 03 | Evidence file: instructions, limitations, logs, data information, oversight, testing, and incidents. |
| 04 | Review triggers: use change, model change, supplier update, geography, new users, or new consequence. |
How to put it into practice
The same underlying model can support uses with very different risk and obligations.
Ask suppliers for a documented intended purpose, limitations, deployment instructions, material updates, and evidence needed for your own role.
Escalate legal interpretation to qualified counsel.
- Name the accountable owner and the decision this work must enable.
- Record the current evidence, assumptions, exclusions, and next review trigger.
- Measure a useful outcome rather than treating publication or deployment as success.
What this page cannot conclude
- 01This is not legal advice and the AI Act’s application depends on facts, roles, sector, and evolving guidance.
- 02Organisations must also consider data protection, product safety, employment, consumer, cybersecurity, and other applicable law.
- 03Publication, technical eligibility, or good practice cannot guarantee ranking, referral traffic, citation, adoption, or a business outcome.
Sources
- 01AI Act: Regulatory FrameworkEuropean Commission · accessed Aug 30, 2026
- 02AI Risk Management FrameworkNational Institute of Standards and Technology · accessed Aug 30, 2026
Our editorial standard · Found an error? Send a correction with its source.
/ CITE OR SHARE THIS GUIDE
Make the evidence easy to verify.
When you reference this guide, link to its canonical URL. That gives readers one stable place for the evidence, limitations and future updates.
dotSuper Research Desk. (August 30, 2026). EU AI Act Checklist for Manufacturers Buying or Deploying AI. dotSuper. https://dotsuper.net/feeds/market-intelligence/eu-ai-act-checklist-for-manufacturers