EU AI Act Compliance Software
Built-in governance controls for every EU AI Act requirement
DecisionLedger AI provides the AI governance infrastructure you need to comply with the EU AI Act — from system registration and risk classification to bias detection, explainability, and immutable audit trails.
This page describes platform capabilities. It does not constitute compliance certification. Your organization must conduct independent compliance assessments with qualified legal and regulatory professionals.
How DecisionLedger Maps to EU AI Act Requirements
Every major requirement is addressed by built-in platform capabilities — not plugins or add-ons.
AI System Registration & Classification
Maintain a comprehensive registry of all AI systems by risk tier. DecisionLedger's Agent Registry automatically catalogs every AI model with risk classification, data sensitivity tagging, and regulatory scope mapping.
Transparency & Explainability
Every AI-assisted decision includes SHAP explainability waterfall plots showing feature importance and input-to-output transparency. No black-box AI outputs — every prediction is auditable.
Human Oversight & Override
Enforce human-in-the-loop policies with configurable governance gates. Kill switch for instant model deactivation. Shadow mode for safe testing. Override tracking with mandatory rationale logging.
Bias Detection & Fairness
Statistical bias auditing across protected classes with a dedicated bias dashboard. Surface disparate impact, monitor demographic parity, and generate bias audit reports automatically.
Risk Management System
Continuous risk monitoring with 15+ governance models including drift detection, control effectiveness tracking, and enterprise fragility scoring. Automated escalation when risk thresholds breach.
Record-Keeping & Audit Trails
Immutable decision audit trails stored with S3 Object Lock (WORM compliance). Every model run, vote, approval, and override is logged with timestamps, user attribution, and full input/output history.
Quality Management System
Policy guardrails with JSONLogic rule enforcement, automated compliance evidence generation, and model performance monitoring with calibration reports and outcome tracking.
Data Governance
PII scanning and classification, data quality scorecards, lineage mapping, and schema drift detection. Ensure training and input data meets the Act's data governance requirements.
8
Articles Covered
Major EU AI Act requirements addressed
100%
Evidence Generation
Automated compliance evidence
Continuous
Monitoring
Real-time drift and bias detection
Always-On
Audit Readiness
Immutable, exportable trails
EU AI Act Compliance in Practice
Real scenarios showing how teams use DecisionLedger to meet EU AI Act requirements.
Deploying a new AI-powered hiring screening tool and needs to demonstrate EU AI Act compliance before go-live. Uses DecisionLedger to register the AI system, run bias audits across protected classes, enable SHAP explainability for every screening decision, and generate a compliance evidence package for the legal team.
AI hiring tool launched with full Article 10 bias documentation and Article 13 explainability proof — ready for regulatory review from day one.
Managing 30+ AI models across engineering and needs a central registry with risk classification, drift monitoring, and kill-switch capability. Uses DecisionLedger's Agent Registry to catalog every model, Shadow Mode to validate new deployments, and the governance dashboard to monitor control effectiveness across all AI systems.
Complete AI system inventory with risk tiers, continuous monitoring, and instant deactivation capability — satisfying Articles 6, 9, and 14.
Why Choose DecisionLedger for EU AI Act Compliance
Built In, Not Bolted On
AI governance isn't an add-on module — it's the foundation. Every decision, model run, and approval is governed by default.
Evidence, Not Checklists
Generate compliance evidence automatically from your actual governance activity. No more manual documentation or checkbox exercises.
Continuous, Not Annual
Compliance isn't a point-in-time assessment. Monitor drift, detect bias, and enforce policies continuously with automated alerts.