AI that works isn’t the same as AI you can prove.
369modus turns AI evaluation into audit-ready evidence for regulated industries — plain-English proof your high-risk AI meets the EU AI Act, built for compliance teams, not engineers.
- Metric
- Precision 0.94 / Recall 0.91, screening decisions
- Basis
- Threshold justified against intended purpose
- Lifecycle
- Monitored quarterly; drift threshold defined
Does the AI transparency rule apply to you — and by when?
Six quick questions, about a minute. Get the exact Article 50 transparency obligations your AI system triggers, whether each one is yours to meet, and the hard date it lands. This is a separate obligation from the high-risk regime — and a sooner one.
Ran the check? Now ship the fixes.
The you-are-already-late version: copy-paste disclosure notices for all five duties in five EU languages, working code, an implementation guide, and the one-page checklist. Current to the Commission's 20 July Guidelines, which put metadata-only marking on the insufficient-alone list — so the code writes both layers and verifies them. Built to ship today, not to read.
- Which document controls — Act, Guidelines, Code of Practice (PDF)
- Disclosure notices — all 5 duties, EN/FR/DE/ES/IT
- Code — chatbot notice, AI badge, two-layer marking + verifier
- Implementation guide (PDF)
- One-page compliance checklist (PDF)
Most teams have metrics. Few have evidence.
The EU AI Act requires high-risk AI — in hiring, credit, healthcare, and essential services — to be accurate, robust, and secure, and to prove it in documentation that stands up to an auditor.
The metrics usually exist. What’s missing is the declared, justified, regulation-mapped statement a compliance officer can actually defend. A dashboard is an engineering artifact. An auditor needs something else.
From dashboard to defensible.
369modus bridges AI evaluation and compliance — translating what the Act requires into evidence you can hand to an auditor, in plain English, not raw numbers built for engineers.
The people who have to sign off.
Teams that need to show their AI meets the Act — without becoming AI researchers to do it.
- 01 Compliance & regulatory officers carrying the audit
- 02 Risk & assurance leads accountable for AI systems
- 03 AI governance teams turning “it works” into “here’s the proof”