Misclassification exposes organisations to fines up to €35M or 7% of global revenue. VDF AI Compliance delivers regulation-grounded risk tier decisions with audit-ready rationale.
For Compliance Officer or AI Risk Manager, apply EU AI Act risk classification for enterprise AI systems so that risk Classification Certificate per AI system (Article 6 compliant) within a single quarter, while meeting on-premise data sovereignty and human sign-off.
Score your own use caseAn appliedAI study of 106 enterprise AI systems found 40% had unclear risk classification. A hiring chatbot could be limited risk or high risk under Annex III — and the wrong pathway means missed deadlines and regulatory exposure.
The Risk Assessment Wizard captures use case, data inputs, affected populations, and decision impact from system owners, then applies the EU AI Act Article 6 two-step test with a written classification decision and rationale. High-risk systems are restricted to approved models.
Structured interview with the AI system owner on use case, data, and impact.
Maps system characteristics against EU AI Act Annex III categories and Article 6 rules.
Produces a formal tier assignment (High / Limited / Minimal / Unacceptable) with rationale.
Deploys risk-tier policy templates and escalation paths for ambiguous cases.
Covers EU AI Act Annex III, Art. 6, Art. 9, and NIST AI RMF MAP 1.1. Every classification is logged with rationale for regulatory inspection.
Data readiness is the most common hidden blocker in enterprise AI. Before this agent network ships, score the smallest set of inputs it needs across four gates.
Records and files across AI System Register, Policy management tools, Approval workflows, and Document repositories must exist digitally, with enough historical depth, and be programmatically retrievable — no manual exports.
Tolerant of moderate noise: a human reviews each output, so completeness and recency matter more than perfect labeling.
Batch retrieval is sufficient: updated policies and source content propagate to the vector store on a scheduled cadence.
Sensitive and personal data is redacted locally before agent ingestion; all processing stays on-premise or in your private cloud, with full audit logging and retention controls.
Net value subtracts the recurring run costs: token/compute fees, LLMOps monitoring, safety filtering, and continuous prompt upkeep.
The VDF AI hook: because the Self-Evolving Model Router (SEEMR) routes each task to the smallest capable model instead of one large public LLM, Ccompute drops 40–60% versus cloud AI platforms — and licensing is only 20–35% of true total cost of ownership anyway.
A practical view of where this workflow breaks, how VDF AI handles it, and what the governed agent stack looks like in production.
Misclassification exposes organisations to fines up to €35M or 7% of global revenue. VDF AI Compliance delivers regulation-grounded risk tier decisions with audit-ready rationale.
An appliedAI study of 106 enterprise AI systems found 40% had unclear risk classification. A hiring chatbot could be limited risk or high risk under Annex III — and the wrong pathway means missed deadlines and regulatory exposure.
The Risk Assessment Wizard captures use case, data inputs, affected populations, and decision impact from system owners, then applies the EU AI Act Article 6 two-step test with a written classification decision and rationale. High-risk systems are restricted to approved models.
Covers EU AI Act Annex III, Art. 6, Art. 9, and NIST AI RMF MAP 1.1. Every classification is logged with rationale for regulatory inspection.
The workflow is designed to produce measurable operational gains without losing enterprise control.
Typical integrations include AI System Register, Policy management tools, Approval workflows, Document repositories. VDF AI can connect this workflow to adjacent use cases across the same business domain while keeping data, decisions, and review steps governed.
Practical answers for teams evaluating this workflow across security, operations, and deployment.
Talk to an expertA governed workflow that determines whether each AI system is high-risk, limited-risk, minimal-risk, or unacceptable under the EU AI Act — with documented rationale for every decision.
Compliance officers, AI risk managers, and legal teams responsible for EU AI Act readiness — especially ahead of the August 2026 high-risk system deadline.
Ambiguous classifications trigger an escalation workflow for human review while preserving draft rationale and regulatory citations for the compliance team.
Policy templates activate automatically, restricting the system to approved models and surfacing the documentation and monitoring obligations that apply to that tier.
Describe your workflow and we will help map the right governed agent network for your environment.
Talk to Solutions Team