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KlarvoEngine
6 min readUpdated 2026-04-15

3-Pass Pipeline Explained

Detailed walkthrough of KlarvoEngine's three classification passes — Understand, Classify, Verify.

3-Pass Pipeline Explained

KlarvoEngine analyses every AI system through three distinct passes, each building on the last.

Pass 1: Understand

You provide 4 fields (name, vendor, department, description). KlarvoEngine extracts:

Data PointWhat It Captures
Core functionWhat the system actually does
Affected personsEmployees, customers, candidates, patients, students, public
Deployment regionsEU, UK, US, other
Human involvementHITL (human approves before action), HOTL (human monitors), HOOTL (fully automated)
Output typesPredictions, recommendations, decisions, classifications, generated content, scores
Workplace impactWhether it affects employees or working conditions
Customer-facingWhether end users interact with or are affected by the system
AI system testWhether it meets the Article 3(1) definition

Pass 2: Classify

Maps understanding data against the full EU AI Act:

  • Prohibited practices — all 8 Article 5 checks
  • High-risk assessment — all 8 Annex III domains
  • Transparency — which Article 50 sub-articles apply
  • GPAI model check — foundation model identification and provider obligations
  • Industry rules — sector-specific overlaps (MDR, MiFID II, DORA, Platform Workers Directive)
  • Final risk level — Prohibited, High-Risk, Limited, or Minimal
  • Every determination includes article citations.

    Pass 3: Verify

    Quality-checks the classification:

  • Edge case matching — compares against 70+ pre-loaded scenarios
  • Misclassification detection — catches common errors (e.g., healthcare chatbot classified as "limited risk" when triage makes it high-risk)
  • Consistency check — risk level consistent with obligations
  • Confidence scoring — assigns confidence level
  • Ambiguity flags — notes where classification depends on deployment context
  • After Classification

    KlarvoEngine generates:

  • Classification memo with article citations
  • Auto-generated obligations with deadlines
  • Smart control selection (only applicable controls)
  • Policy drafts (AI Acceptable Use, Worker Notification, Training Curriculum)
  • Article 50 disclosure text
  • 25+ system fields auto-populated
  • Re-Classification

    When your system changes, re-classify at any time. KlarvoEngine runs the full pipeline again and cascades changes to obligations, tasks, policies, controls, and disclosure text automatically.

  • How KlarvoEngine Classification Works
  • Industry-Specific Frameworks
  • Understanding Your Classification Memo