P
Phrasee EU AI Act Compliance Profile
Phrasee (Jacquard)
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
③ Provider Info
ProviderPhrasee (Jacquard)
Categorymarketing
④ Obligations
2apply
~12h effort
□ Ensure AI Literacy of Staff
□ Marketing: AI in Advertising and Recommendation Systems
$ npx complior scan
Your risk depends on how you use Phrasee
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
AI-powered brand language optimization for email subject lines, push, and social copy.
Applicable Articles
Who does what
Phrasee (Jacquard) (provider)Their job
- •Ensure AI Literacy of Staff (Article 4)
- •Marketing: AI in Advertising and Recommendation Systems (Article 50 + Article 5(1)(a))
You (deployer)Your job
- •Ensure AI Literacy of Staff (Article 4)
- •Marketing: AI in Advertising and Recommendation Systems (Article 50 + Article 5(1)(a))
Risk Assessment Reasoning
Phrasee classified as minimal risk. Only AI literacy (Article 4) obligations apply. Voluntary codes of conduct encouraged.
Similar Models
Frequently Asked Questions
What is Phrasee's EU AI Act risk classification?
+
Phrasee is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy Phrasee?
+
As a Phrasee deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Article 4, Article 50 + Article 5(1)(a).
What is Phrasee?
+
Phrasee is a Unknown model. It has 0 downloads on HuggingFace.
What are the EU AI Act deadlines for Phrasee?
+
Already passed: Ensure AI Literacy of Staff — 2025-02-02. Already passed: Marketing: AI in Advertising and Recommendation Systems — 2025-02-02.
Check Phrasee compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan