📝 Blog • Geniuspace® algorithm
EU AI Act Compliance Guide for SMEs (Practical, 2026)
An evidence-based AI Act readiness guide for SMEs: classification, documentation, risk management, evaluation, and procurement-friendly controls.
🛡️ Governance
📜 Evidence trail
☁️ On‑prem/VPC/Edge
Key takeaways
- Classify your AI use case and define decision boundaries.
- Build a minimal compliance set: documentation, logs, evaluations, oversight.
- Procurement-ready: security clauses, reversibility and SLA language.
- Operate safely: monitoring, incident reporting, change control.
A realistic path for SMEs
Compliance is not a one‑time checkbox. It is a repeatable process backed by evidence: documentation, evaluations, runtime logs and governance reviews.
Minimum viable evidence pack
- System description (purpose, scope, limitations).
- Risk assessment (harm scenarios, mitigations).
- Evaluation suite (accuracy, robustness, bias, safety).
- Human oversight (review steps, escalation).
- Operational logs (traceability, retention policy).
What public buyers and large enterprises look for
Even outside the EU AI Act, large organizations expect auditable controls (security, privacy, incident response, reversibility). Treat this as procurement hygiene.
Procurement note
If you want this to survive audits, insist on artifacts: requirements, evaluation gates, logs, incident procedures and reversibility clauses.