EU AI Act Compliance for AI Tools
The EU AI Act requires organizations to document AI usage, implement governance controls, and maintain transparency about AI-assisted decisions. TeamPrompt provides the governance layer — logging every AI interaction, enforcing policies, and generating audit evidence.
The AI risk for EU AI Act
No AI usage documentation
The AI Act requires documenting how AI systems are used. Most organizations have zero visibility.
Missing risk assessment
Organizations must assess risks of AI usage. Without data on what's being sent to AI, assessment is impossible.
No governance framework
The Act requires human oversight and governance of AI usage. Most teams have no policies.
Transparency gaps
Organizations must be transparent about AI-assisted decisions. Without logging, there's no record.
How TeamPrompt ensures EU AI Act compliance
FAQ
Frequently asked questions
Is our company subject to the EU AI Act if we use ChatGPT?
If you have an EU establishment, EU customers, or EU users of an AI-assisted product, yes — even if your headquarters is in the US. The Act's extraterritorial reach is similar to GDPR. The good news: most internal-use cases (writing emails, summarizing meetings) are minimal-risk and only require transparency and AI literacy obligations, not full conformity assessments. The bad news: any AI-assisted decision that affects EU individuals in employment, credit, healthcare, education, or law enforcement IS high-risk and triggers serious obligations.
When does the EU AI Act apply?
The Act entered into force August 1, 2024 with phased implementation. Prohibited practices: applicable from February 2025. General-purpose AI model obligations (transparency, training-data summaries): August 2025. High-risk AI system requirements: full applicability August 2026. Most ChatGPT/Claude/Gemini use falls under either minimal-risk (transparency only) or high-risk depending on use case.
What are the high-risk AI categories?
Annex III enumerates them: biometric ID, critical infrastructure, education/vocational training, employment/HR, access to essential services (credit, insurance, public benefits), law enforcement, migration/border, and judicial administration. If your AI usage touches any of those, you're high-risk regardless of which provider's model you're using — Claude doesn't make you compliant or non-compliant; YOUR USE does.
Do small companies need to comply?
Yes, but with lighter touch. SMEs (under 250 employees, under €50m turnover) get reduced documentation requirements and access to AI regulatory sandboxes free of charge. The prohibited practices apply to everyone. Transparency obligations for general-purpose AI use (informing users they're interacting with AI, AI-generated content disclosure) apply to all sizes.
How do general-purpose AI rules apply?
Article 53 puts the obligations primarily on the providers of general-purpose AI models (OpenAI, Anthropic, Google, Meta, Mistral) — they must publish training-data summaries, document copyright handling, and assess systemic risks for models above 10^25 FLOPS. As a customer/deployer of those models, your obligations are downstream: be transparent with end-users, maintain logs of AI-assisted decisions, and ensure human oversight on high-risk uses.
Does TeamPrompt classify AI risk levels?
TeamPrompt provides per-prompt risk scoring (0-100) and allows admins to define sensitive topics that map to your high-risk categories. While it doesn't formally classify systems under the Act's Article 6 risk tiers (that's a legal judgment), it provides the technical monitoring data needed for risk assessments and the audit logs needed for Article 12 record-keeping. The Audit page's CSV/PDF export is structured to be supplied to a Notified Body during conformity assessment.
What about the AI literacy requirements?
Article 4 requires providers and deployers to ensure 'a sufficient level of AI literacy' among staff. In practice, this means a documented training program covering: what AI does, limitations, when to use it, when not to. TeamPrompt's policy violation notifications double as training moments — when an employee tries to send sensitive data and is blocked, the in-context explanation IS literacy delivery. Logging those events gives you evidence of training-in-practice.
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How it works
Three steps from install to full AI security coverage.
Install
Add the browser extension to Chrome, Edge, or Firefox — or deploy it to your whole team via MDM. No proxy or VPN needed.
Configure
Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.
Protected
Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.
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