Key insights: EU AI Act 2026: What Mid-Sized Companies Need to Know
EU AI Act for SMEs: risk classes, prohibited practices, high-risk uses, GPAI duties for providers/deployers, GDPR overlap and operational governance.
Read the German pillar for full tables and operational guidance. For implementation support see AI training, Artificial Intelligence services and IT consulting.
Deployers: what to document
Maintain a lightweight decision log: model/version, purpose, data classes, human review points and incident contacts. Align prompts and tool permissions with HR/finance sensitivity — especially when outputs feed downstream systems.
Schedule a consultation to classify use cases and plan evidence packs.
Frequently asked questions about EU AI Act 2026: What Mid-Sized Companies Need to Know
- Do we need a designated AI officer?
- There is no one-size-fits-all substitute for clear ownership: often a named lead with deputy suffices — aligned with your organisation. High-risk contexts require stronger QM-style evidence.
- How do we label AI-generated content?
- Where transparency duties apply, users should recognise AI — format depends on channel (UI hint, footer, voice disclosure). Internal guidelines prevent inconsistent practice.
- Must we log ChatGPT answers?
- For high-risk or decision-adjacent flows, document purpose, inputs and human review — technically via tickets or governance tools; avoid storing unnecessary personal data.
- What if our product is high-risk AI?
- Clarify provider vs deployer obligations, implement risk management and documentation — involve counsel; we supply architecture and logging foundations.
- How does the AI Act relate to GDPR?
- Both apply in parallel — AI Act focuses on risk/market rules; GDPR protects personal data; map data flows and legal bases jointly.
- When do GPAI duties affect us?
- Timelines are phased — confirm effective dates for your provider tier and model generation against the Official Journal text.
- What about open-source models?
- Roles and documentation duties still matter — open weights are not a free pass for high-risk deployment without governance.
- Which technical basics matter first?
- SSO/MFA for AI tools, secrets management, data classes for RAG, minimal logging and human escalation paths.
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