21 ready-to-use, editable Excel workbooks mapped to EU AI Act obligations. Free for compliance officers, legal counsels, and AI engineering teams.
A suite-level workbook for one canonical AI system: components, classification, obligations, evidence, actions, change impact and readiness sign-off.
Plan, deliver and evidence AI literacy under Article 4 with role-based competencies, training records, assessments and management sign-off.
A structured negative-clearance review for the prohibited practices in Article 5, with evidence capture, control ownership and review sign-off.
Document the AI Act risk classification decision with Annex I and Annex III scope checks, Article 6(3) assessment and evidence-backed approval.
Run the full Article 9 risk lifecycle: hazards, estimation, evaluation, treatment, residual risk acceptance, monitoring and review.
Control training and test data quality, relevance, representativeness, bias checks, annotation quality, privacy safeguards and versioning.
Build an Annex IV evidence pack covering system purpose, design, development, validation, performance, limitations and change history.
Define event logging, integrity, retention, traceability and access controls for the operational record required by Article 12.
Create clear instructions for use and user information, including system purpose, limitations, AI identification and disclosure controls.
Design oversight measures, intervention and override paths, competency requirements, automation-bias safeguards and escalation procedures.
Set accuracy targets and test evidence, robustness scenarios, adversarial checks, cybersecurity controls and degradation monitoring.
Establish an Article 17 QMS with governance, design controls, resource management, accountability, corrective action and management review.
Coordinate provider, importer, distributor and downstream responsibilities with vendor reviews, contracts, evidence and change controls.
Record deployer checks for instructions, oversight, input data, worker notification, monitoring, logs and incident escalation.
Assess rights impacts, necessity, proportionality, affected groups, data flows, safeguards, consultation and residual impact.
Select the assessment route, prepare Annex VI or Annex VII evidence, coordinate notified-body inputs and track CE-marking readiness.
Operationalise direct-interaction notices, synthetic-content marking, emotion and biometric notices, deepfake disclosure and publication evidence.
Document GPAI transparency, model technical documentation, downstream information, copyright policy and systemic-risk controls.
Prepare EU database registration data, system metadata, responsible parties, public disclosures and submission evidence.
Plan monitoring, collect performance signals, detect incidents, manage corrective actions and maintain periodic review evidence.
Classify and report serious incidents, track the 72-hour route, coordinate corrective actions and retain market-surveillance evidence.
Manual spreadsheets take weeks to maintain and leave gaps in audit trails. AZComply evaluates your AI systems against EU Regulation 2024/1689 and national labour laws in 3 minutes.
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