What is KlarvoEngine?

KlarvoEngine is Klarvo's regulatory intelligence engine. It analyses your AI system through a 3-pass classification pipeline and produces an article-cited compliance memo with obligations, deadlines, and recommended controls — in under 60 seconds.

What is the EU AI Act?

The EU AI Act (Regulation 2024/1689) is the world's first comprehensive AI regulation. It classifies AI systems by risk level and imposes obligations on providers and deployers of AI systems operating in the EU.

Any organisation that provides or deploys AI systems affecting people in the EU — regardless of where the organisation is based. This includes websites with AI chatbots, companies using AI analytics, and businesses integrating AI models into their products.

Prohibited AI practices have been enforceable since February 2025. GPAI model obligations since August 2025. Article 50 transparency and most remaining obligations apply from August 2, 2026.

What are the penalties?

Up to €35 million or 7% of global turnover for prohibited practices. Up to €15 million or 3% for transparency and other violations. For SMEs, the penalty is whichever amount is lower.

Activity Feed & Audit Trail

Every significant action in Klarvo is logged. The Activity Feed provides real-time visibility into what's happening across your compliance program. The Audit Trail provides the permanent, immutable record needed for regulatory compliance.

What's Logged

Action Type

Examples

AI Systems

Created, updated, classified, reclassified, deleted

Evidence

Uploaded, approved, rejected, expired, linked to control

Tasks

Created, assigned, completed, overdue

Team

Member invited, role changed, member removed

Classifications

Initial classification, override, reclassification

FRIA

Started, completed, approved, updated

Exports

Report generated, evidence pack downloaded, link shared

Settings

Organization settings changed, billing updated

Incidents

Created, updated, resolved, escalated

Activity Feed

The Activity Feed shows recent actions in chronological order. Access it from:

Dashboard: Recent activity widget

AI System detail: System-specific activity

Audit Log page: Full organizational audit log

Each entry shows:

What happened: "Evidence approved"

Who did it: User name and role

When: Timestamp

What entity: AI system name, evidence title, etc.

Details: Additional context (e.g., "Classification changed from Minimal to High-Risk Candidate, reason: vendor added biometric features")

Audit Log

Navigate to Audit Log in the sidebar for the full, searchable log. Filter by:

Date range: Specific time periods

Action type: Create, update, delete, approve, etc.

Entity type: AI systems, evidence, tasks, etc.

User: Specific team member

AI System: Actions related to a specific system

Export Audit Log

For regulatory requests or internal audits:

Navigate to Audit Log

Apply desired filters

Click Export → CSV or PDF

The export includes all filtered entries with full detail

Why It Matters

The audit trail serves multiple purposes:

Regulatory compliance: Demonstrates who made what decisions, when, and why

Internal accountability: Ensures team members follow procedures

Incident investigation: Reconstruct what happened before an incident

Change tracking: See how classifications, evidence, and controls evolved over time

Best Practices

📊 Review regularly: Check the activity feed weekly for unexpected changes

🔍 Investigate anomalies: Unusual activity patterns may indicate process issues

📋 Export before audits: Include audit log excerpts in your governance pack

🔒 Immutable: The audit trail cannot be edited or deleted — this is by design for compliance integrity