EU AI Act Compliance: Risk Classification, Ownership & Human-in-the-Loop
What "EU AI Act ready" actually means. Risk classification per use case, department owners for accountability, and built-in safeguards.
What the EU AI Act requires
The EU AI Act classifies AI systems by risk level and imposes obligations accordingly. For enterprise AI assistants, the key requirements are: risk assessment per use case, human oversight for high-risk applications, transparency about AI-generated content, and documentation for accountability.
“EU AI Act ready” is not a checkbox. It’s a set of capabilities built into the platform architecture. Here’s how the Plainsight AI Assistant supports compliance across different risk levels.
Risk classification by department
Different departments use AI differently, and they face different compliance obligations. Here’s how risk classification maps to typical enterprise use cases:
AI systems used in employment decisions (screening, evaluation, promotion) are classified as high-risk under the EU AI Act. Requires documented risk assessment, human oversight, and transparency obligations.
AI chatbots and assistants interacting with customers have transparency requirements. Users must know they are interacting with AI. Lower compliance burden than high-risk systems.
AI used for document analysis, contract review, and legal research. Not making autonomous decisions, supporting human professionals. Transparency and accuracy are key.
AI used for data analysis, chart generation, and report drafting. The AI processes data but does not make financial decisions. Minimal compliance obligations.
How the Plainsight AI Assistant supports compliance
Risk classification per use case
Each department environment can be tagged with its EU AI Act risk level. This classification is documented in the admin panel and included in compliance exports.
Department owner designation
Every department has a designated owner, the person accountable for how AI is used in that context. Owners receive usage reports and can configure safeguards.
Human-in-the-loop
For high-risk use cases, the platform supports human review workflows. AI outputs are flagged for human approval before action is taken. No autonomous decisions in sensitive contexts.
Source citations & audit trail
Every AI response includes citations linking back to source documents. Full conversation history is retained for audit. Compliance teams can export audit logs at any time.
Data protection by design
Department isolation ensures data boundaries are enforced architecturally, not just by policy. Combined with GDPR-compliant data residency, this satisfies the Act's data governance requirements.
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