T333 · EU AI Act · Article 9 · Risk Management · AP2 Export

EU AI Act Article 9 Risk Management System Requirements Builder

Generate a compliant Article 9 Risk Management System (RMS) documentation framework for high-risk AI systems in financial services, effective August 2 2026. Covers continuous iterative risk processes, residual risk assessment, testing requirements (CONOPS, input data specs, expected outputs), and post-market monitoring obligations for credit scoring, fraud detection, and AML AI models.

Effective 2 August 2026 EU AI Act (EU) 2024/1689 Art. 9 High-Risk AI · Annex III Client-Side · Zero PII · CC BY 4.0

2 August 2026 High-risk AI Act obligations effective — Annex III financial services systems ● Critical deadline

2 February 2025 GPAI model obligations already in force (Art. 51–55) ● Already live

Ongoing Post-market monitoring system — Art. 72 continuous obligation ● Continuous

Scope & Reliance — All inputs are processed locally in your browser. No data is transmitted. Static regulatory thresholds as of 2026-06-01. Verify against current primary sources before relying on outputs for legal or compliance decisions. Deterministic logic · zero PII · CC BY 4.0.

🔒 All inputs are processed locally in your browser. No data is transmitted. Do not enter real personal data — use synthetic or anonymised inputs only.

Step 01 AI System Classification & Deployment Context

AI system type (Annex III category) Only Annex III systems are subject to Art. 9 RMS obligations. Non-Annex III systems have lighter requirements.

Deployment stage Art. 9 RMS is a lifecycle obligation — requirements differ by deployment stage.

Training data source

Role of organisation Art. 9 RMS obligations rest primarily with the provider. Deployers have narrower but distinct obligations under Art. 26.

Step 02 Risk Management Maturity & Controls

Risk management maturity level (1=Ad hoc → 4=Optimising) Art. 9 requires an iterative RMS throughout the system lifecycle. Level 3+ is the minimum for compliance.

Known failure modes documented? Art. 9(2)(a): RMS must include identification and analysis of known and foreseeable risks.

Human oversight controls implemented? Art. 14 requires human oversight measures. Art. 9(2)(d) requires RMS to include testing against reasonably foreseeable misuse.

Post-market monitoring system (Art. 72)? Art. 72 requires providers to establish a post-market monitoring system covering the AI system's performance in real-world conditions.

Residual risk assessment completed? Art. 9(4): RMS must ensure residual risks are reduced to the lowest level possible. Overall residual risk must be judged acceptable.

CONOPS / operational documentation? Art. 9(2)(b): RMS must consider conditions of intended use including foreseeable misuse. CONOPS documents this.

Article 9 RMS Compliance Assessment

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Art. 9 RMS Readiness Score

Risk identification

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Risk treatment & residual

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Testing & validation

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Human oversight (Art. 14)

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Post-market monitoring (Art. 72)

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Overall RMS readiness —

Required Art. 9 RMS Documentation Framework

Compliance Gap Analysis

AP2 v1.0 · @ainumbers.co/eu-ai-act-art9-rms-v1

Regulatory Sources

[1]EU AI Act (EU) 2024/1689 Art. 9 — Risk management system: requirements, iterative process, residual risk, testing

[2]EU AI Act Art. 14 — Human oversight: technical measures, ability to override, designated persons

[3]EU AI Act Art. 17 — Quality management system: covers RMS documentation, corrective action, post-market plan

[4]EU AI Act Art. 72 — Post-market monitoring system: active data collection, serious incident reporting to market surveillance

[5]EU AI Act Annex III §5(b) — Creditworthiness assessment and credit scoring high-risk AI classification

[6]EU AI Act Recital 58 — Iterative nature of risk management; post-deployment risk identification obligations