A connected EU AI Act evidence workflow
Classification informs documentation, documentation informs transparency, and logging supports ongoing oversight instead of leaving evidence in disconnected spreadsheets.
Classify risk, draft governance policy, produce Annex IV documentation, write transparency notices, specify record-keeping, train your people, and scan your code — one governed toolkit.
VDF compliance agents help legal, risk, security, product, and engineering teams operationalize AI governance. The category covers the practical work around the EU AI Act: risk classification, governance policy, Annex IV documentation, transparency notices, record-keeping, AI literacy, and code-level compliance scanning.
Classification informs documentation, documentation informs transparency, and logging supports ongoing oversight instead of leaving evidence in disconnected spreadsheets.
Generate structured first drafts, rationales, policies, notices, and reports for compliance, legal, and technical teams to review.
Scan repositories, document systems, define controls, and keep governance close to the AI systems being built and operated.
Each agent has its own SEO page with use cases, governance notes, expected outputs, FAQs, and related tools.
Tier any AI system under the EU AI Act — with a defensible rationale.
Explore agent EU AI ActDraft AI use policies, RACI, and approval lifecycles, grounded in the standards.
Explore agent EU AI ActProduce EU AI Act Annex IV technical documentation, grounded in your intake.
Explore agent EU AI ActWrite the plain-language AI disclosure users actually see.
Explore agent EU AI ActSpecify EU AI Act Article 12 logging: schema, retention, and tamper-evidence.
Explore agent EU AI ActDeliver role-adaptive EU AI Act literacy training, with a competency score.
Explore agent EU AI ActScan a repo for EU AI Act risks and map them to specific articles.
Explore agentThe compliance category is designed as a connected toolkit. Each agent covers a specific obligation, but the value compounds when the outputs become a governed AI system record.
Use risk classification to identify regulatory category, likely obligations, assumptions, and evidence gaps.
Draft policies, RACI, Annex IV documentation, transparency notices, and record-keeping specifications.
Scan repositories and technical material for AI-related compliance issues, logging gaps, and documentation mismatches.
Support AI literacy, update records, and keep governance evidence aligned as systems and regulations evolve.
AI governance work touches model behavior, system architecture, source code, risk analysis, and legal documentation. VDF lets teams generate compliance evidence on infrastructure they control, with access rights and audit trails preserved.
AI compliance agents are specialized agents that help classify AI risk, draft governance documentation, produce transparency notices, specify logging, support AI literacy, and scan code for compliance risks.
No. They accelerate evidence generation and standardize first drafts for qualified compliance, legal, and technical reviewers.
Yes. VDF can run these agents on-premise or in a sovereign cloud so sensitive governance evidence, source code, and system documentation remain inside your perimeter.
See these agents applied to your operations — governed, on-premise, and orchestrated together.