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EU AI Act Compliance Framework — AMC Dimension Mapping

Version: 1.1 | Date: 2026-07-10 Regulation: EU AI Act (Regulation (EU) 2024/1689) — current high-risk timeline: 2027-12-02 for Annex III systems and 2028-08-02 for product-integrated systems Status: Engineering compliance mapping — not legal advice


1. Overview

This document maps AMC's five maturity dimensions and evidence infrastructure to the EU AI Act's obligations for high-risk AI systems. AMC provides deterministic, evidence-linked compliance signals — not legal certifications.

A signed or VALID AMC report proves artifact integrity, not evidence sufficiency. Use a mapping externally only when evidence readiness is READY; AMC does not classify a system as a matter of law, perform conformity assessment, or certify legal compliance.

The EU AI Act applies a risk-based approach. AMC's compliance engine now supports EU_AI_ACT as a first-class framework alongside SOC2, NIST AI RMF, ISO 27001, and ISO 42001.

amc compliance report --framework EU_AI_ACT --window 30d --out .amc/reports/eu-ai-act.md
amc comply risk-classify --employment --json

2. Risk Classification (Art. 6 + Annex III)

How AMC Maps Risk

AMC uses Domain Risk Classification as a technical pre-check for which governance tier may apply. Final classification depends on intended purpose, role, and use case and requires qualified review:

Domain Risk Class Candidate EU AI Act Tier AMC Policy Response
critical Unacceptable (Art. 5) Prohibited unless exempted; AMC blocks deployment
high High-risk (Annex III) Full Art. 9-15, 17 obligations; strict human oversight
elevated Limited risk Transparency obligations (Art. 50); moderate oversight
standard Minimal risk Voluntary codes of practice; baseline AMC governance

Domain classification is stored in .amc/eu_ai_act_classification.json and scored by src/score/euAIActCompliance.ts.

Annex III identifies specific high-risk use cases in areas including biometrics, critical infrastructure, education, employment, essential services, law enforcement, migration, asylum, border control, and justice. An industry label alone does not establish classification.

Use amc comply risk-classify for the CLI risk-tier pre-check. It is an alias for amc compliance risk-classify and maps capability flags to the EU AI Act risk tiers in Regulation (EU) 2024/1689, including Article 5 prohibited practices, Article 6 high-risk systems, Annex III use areas, and Article 50 transparency obligations. Official source: https://data.europa.eu/eli/reg/2024/1689/oj.

Autonomy Duration Factor

AMC can apply stricter internal policy targets as autonomy duration grows — the time between human interventions. These are product policy defaults, not statutory maturity thresholds:

Autonomy Duration Suggested Oversight Example AMC Policy Target
< 1 minute Standard approval gates Level 3+ maturity
1-15 minutes Enhanced monitoring + circuit breakers Level 4+ maturity
15-60 minutes Continuous oversight dashboard + auto-pause Level 4+ with drift alerts
> 60 minutes Mandatory periodic human checkpoints Level 5 only, with FRIA

Agents that proactively pause and request human input when encountering uncertainty score higher on oversight quality.


3. Obligation-to-AMC Mapping

Art. 9 — Risk Management System

Requirement: Continuous risk management throughout the AI system lifecycle.

AMC Evidence Module Questions
Risk register and treatment plans src/ops/, src/forecast/ AMC-2.8, AMC-4.5
Assurance pack: duality (risk scenarios) src/assurance/packs/
Drift regression detection src/drift/ AMC-4.1
Compliance mapping: euai_art9_risk_management src/compliance/builtInMappings.ts

Evidence requirement: Audit/metric/review events with ≥60% OBSERVED trust tier + duality pack score ≥75.

Art. 10 — Data Governance

Requirement: Data quality, bias examination, and governance for training/operation data.

AMC Evidence Module Questions
Data governance artifacts docs/DATA_GOVERNANCE.md AMC-1.5
DLP and exfiltration controls src/shield/, src/vault/ AMC-1.8
Compliance mapping: euai_art10_data_governance src/compliance/builtInMappings.ts

Art. 11 — Technical Documentation (Annex IV)

Requirement: Technical documentation before market placement, sufficient for conformity assessment.

AMC Evidence Module Questions
Architecture documentation docs/ARCHITECTURE_MAP.md AMC-2.9
Master reference docs/AMC_MASTER_REFERENCE.md
Agent passport (per-agent technical profile) src/passport/
Compliance mapping: euai_art11_technical_documentation src/compliance/builtInMappings.ts

Art. 12 — Record-Keeping / Automatic Logging

Requirement: Automatic logging enabling traceability of system functioning.

AMC Evidence Module Questions
Append-only evidence ledger src/ledger/ AMC-1.6, AMC-1.7
Hash-chained transparency log src/transparency/logChain.ts
Signed receipts src/receipts/
Compliance mapping: euai_art12_record_keeping src/compliance/builtInMappings.ts

Evidence requirement: LLM request/response + tool action/result + audit events with ≥70% OBSERVED trust tier.

Art. 13 — Transparency to Deployers

Requirement: Instructions for use, intended purpose, known limitations, and performance characteristics.

AMC Evidence Module Questions
Agent passport with capability declarations src/passport/ AMC-2.4
Transparency artifacts src/transparency/
Compliance mapping: euai_art13_transparency src/compliance/builtInMappings.ts

Art. 14 — Human Oversight

Requirement: Human oversight measures built into system design enabling intervention, override, or stop.

AMC Evidence Module Questions
Approval gates and governor controls src/approvals/, src/governor/ AMC-2.10, AMC-1.8
Human oversight quality scoring src/score/humanOversightQuality.ts AMC-HOQ-1 to AMC-HOQ-4
Governance bypass assurance pack src/assurance/packs/
Autonomy duration tracking Domain risk × oversight interval
Compliance mapping: euai_art14_human_oversight src/compliance/builtInMappings.ts

Evidence requirement: Audit/tool_action events ≥60% OBSERVED + governance_bypass pack score ≥85.

Art. 15 — Accuracy, Robustness, Cybersecurity

Requirement: Appropriate accuracy and resilience against errors, faults, and adversarial attacks.

AMC Evidence Module Questions
Injection/exfiltration assurance packs src/assurance/packs/ AMC-2.1, AMC-4.5
Shield (prompt injection defense) src/shield/
Production readiness scoring src/score/productionReadiness.ts
Compliance mapping: euai_art15_accuracy_robustness src/compliance/builtInMappings.ts

Art. 17 — Quality Management System

Requirement: QMS ensuring compliance including documented policies and post-market monitoring.

AMC Evidence Module Questions
Eval harness and test infrastructure src/bench/, src/e2e/ AMC-2.2, AMC-2.3
Compliance maps with signed governance src/compliance/
Compliance mapping: euai_art17_quality_management src/compliance/builtInMappings.ts

Art. 27 — Fundamental Rights Impact Assessment

Requirement: FRIA completed before deploying in high-risk contexts.

AMC Evidence Module Questions
FRIA artifact docs/FRIA.md, .amc/fria.json AMC-2.6
Diagnostic question bank (FRIA question) src/diagnostic/questionBank.ts
Compliance mapping: euai_art27_fria src/compliance/builtInMappings.ts

Art. 72 — Post-Market Monitoring

Requirement: Post-market monitoring system proportionate to risks.

AMC Evidence Module Questions
Drift detection and alerting src/drift/, src/watch/ AMC-2.8
Forecast and advisory engine src/forecast/
Compliance mapping: euai_art72_post_market_monitoring src/compliance/builtInMappings.ts

Art. 73 — Serious Incident Reporting

Requirement: Serious incidents reported to authorities within required timelines.

AMC Evidence Module Questions
Incident subsystem src/incidents/ AMC-2.7
Audit trail for incident lifecycle src/ledger/, src/audit/
Compliance mapping: euai_art73_incident_reporting src/compliance/builtInMappings.ts

Art. 86 — Right to Explanation

Requirement: Affected persons can obtain meaningful explanations of AI-assisted decisions.

AMC Evidence Module Questions
Explainability packet src/watch/explainabilityPacket.ts AMC-2.4
Decision transparency artifacts src/transparency/
Compliance mapping: euai_art86_right_to_explanation src/compliance/builtInMappings.ts

4. Conformity Assessment (Art. 43)

AMC supports conformity assessment readiness through:

  1. Evidence-linked compliance reportsamc compliance report --framework EU_AI_ACT
  2. Signed audit binder — cryptographically verifiable evidence packages
  3. Cross-framework mappingsrc/score/crossFrameworkMapping.ts generates EU AI Act control coverage reports
  4. Agent passport — per-agent technical documentation profile

AMC does not perform the conformity assessment itself — that requires a notified body or internal assessment per Art. 43 procedures.


5. Timeline Context

Date Milestone
2024-08-01 Regulation entered into force
2025-02-02 Chapters I and II applicable
2025-08-02 Chapter III Section 4, Chapter V (GPAI) applicable
2026-08-02 Relevant Article 50 transparency obligations apply; GPAI enforcement powers also enter application
2027-12-02 Annex III high-risk rules apply under the current AI Omnibus political agreement timeline
2028-08-02 High-risk rules apply to systems integrated into regulated products under the current timeline

The timeline can change. Verify it against the European Commission's high-risk guidance and AI Act policy page.


6. Domain Risk Classification and Autonomy Duration

Domain Risk Tiers

Healthcare, finance, employment, education, and law enforcement agents require stricter governance than code assistants or internal productivity tools. AMC enforces this through domain packs (src/score/domainPacks.ts) that adjust scoring thresholds based on deployment context.

Autonomy Duration as Maturity Signal

Time between human interventions is a key maturity indicator:

  • Low autonomy (frequent human checkpoints): Acceptable at lower maturity levels
  • High autonomy (extended unsupervised operation): AMC recommends a Level 4-5 target with comprehensive evidence
  • Self-limiting agents (proactively pause when uncertain): Score bonus on oversight quality dimension

This maps directly to Art. 14 human oversight requirements — the EU AI Act requires that oversight measures be "commensurate with the risks, level of autonomy and context of use."


References