Skip to main content
EU AI Act compliance

One system. Many agents. Each one classified on its own.

Preview your EU AI Act risk for free. Upgrade to classify individual components, review evidence, and produce a decision dossier.

No account · No documents · Deterministic risk result · EU-hosted

Multi‑Agent Classification · Case AZC‑00147

Recruitment & Talent Evaluation Suite

One system. Many agents. Each one classified on its own.
Analysing
SystemMulti‑Agent Recruitment & Talent Suite
RoleDeployer · Art. 26
JurisdictionsBENLFR
OutcomePendingHigh‑risk
4 agents · classified independently
  1. Agent 1
    Resume Parser
    CV feature extraction · no scoring, no filtering
    No Annex III trigger
  2. Agent 2
    Shortlisting & Ranking high‑risk
    Scores and ranks candidates · material influence on hiring
    Annex III §4(a)
  3. Agent 3
    Video Interview Screener
    Transcript & content only · no emotion inference
    Art. 5(1)(f) guard active
  4. Agent 4
    Bias & Oversight Guardian
    Disparate‑impact monitoring · human oversight
    Mitigating control
System outcome
High‑risk · Annex III §4(a)
Art. 6(2)Art. 26Art. 26(7)BE · CAO 9/39/81/100NL · WOR §27FR · CSE
Case AZC-00147Deterministic Ruleset · v10.1.6

BUILT FOR REVIEW, NOT BLIND TRUST

A deterministic method you can inspect

Rules engine

Determines every risk tier.

8 tested overlays

Eight tested national-law routing overlays: BE, NL, DE, FR, ES, IT, FI and IE.

Article-level trace

Results link to the triggered rules.

0 LLM verdicts

LLM context, rules classify.

01 / Decision Dossier

A structured, review-ready record - not a simulation. Every field is traceable to facts and regulatory sources.

  1. 01System facts, purpose and affected persons
  2. 02Regulatory triggers and risk classification
  3. 03Applicable requirements by role
  4. 04Evidence and missing information
  5. 05Review questions, decision history and sources

Decision invariant

Same reviewed facts → same rule result. The LLM structures candidate facts; a human review happens before the deterministic classification is relied on.

Open sample dossier

DEPLOYMENT DECISION DOSSIER

Candidate Screening Assistant

Screens and ranks job applicants from CVs

Example — not a legal conclusion

DECISION

Conditional — Human Review Required

Pending reviewer approval

CLASSIFICATION

High-risk · Annex III §4

Employment, recruitment and promotion

APPLICABLE REQUIREMENTS

12 identified

By role: provider + deployer

JURISDICTION

Belgium

CAO 39 · Works council

VERSION

v10.1.6 · illustrative example

EVIDENCE

8 confirmed
From description to review-ready decision record

02 / The challenge

Classification depends on intended purpose, operator role, deployment context, affected people, and the components that actually influence outcomes.

Illustrative system anatomy

Deployment context

CV screening before human review

01

Extracts applicant data

Supporting function — facts still matter
02

Scores and orders candidates

Employment decision trigger / Annex III §4(a)
03

Analyses face or voice signals

Separate biometric / prohibited-practice check
04

Drafts recruiter notes

Separate role and transparency assessment

Illustrative decomposition — AZComply evaluates each component against the reviewed facts instead of assigning one label to the product name.

03 / How it's decided

AI agents structure compliance-relevant facts. Deterministic rules evaluate regulatory triggers. Your team reviews material findings and approves the final decision.

Stage 01

AI extracts facts

Multilingual LLM on sovereign EU infrastructure (europe-west4) reads system material and structures facts. It never decides the risk level.

Stage 02

Rules determine the result

Deterministic Python rules evaluate reviewed facts against bounded EU AI Act triggers. Enabled national-law overlays are surfaced separately for review. Same reviewed facts produce the same EU AI Act rule result.

ART. 6 & ANNEX III · DETERMINISTIC
Stage 03

Evidence shows why

Sources, missing information and the specific legal trigger are shown beside each material finding.

Stage 04

Humans approve

DPO, legal and product teams review material findings, resolve open questions and approve the record before release.

Decision support, not legal advice. Review material findings and unresolved facts before relying on the dossier.

View the evidence trail in a free assessment

04 / Why AZComply

The distinction is not another AI assistant. It is a reviewable path from extracted fact to regulatory decision and versioned evidence.

Decision provenance

Control invariant

LLM extracts candidate facts → human reviews facts → deterministic EU AI Act rules execute → humans approve the decision record.

Illustrative decision trace

Recruitment example

  1. 01FACT-017

    “CVs are scored before human review.” Source span retained.

  2. 02REVIEWED

    A reviewer confirms the factual meaning before classification is relied on.

  3. 03RULESET

    Reviewed facts are evaluated against bounded EU AI Act triggers and the active ruleset version.

  4. 04DECISION

    Risk result, legal trigger, unresolved facts, and reviewer state stay attached to the record.

  5. 05DOSSIER v1.3

    The dossier keeps the source trace, rule version, review history, and supporting evidence together.

FACT-017 → REVIEWED → RULESET 2026.09 → DECISION → DOSSIER v1.3

05 / Comparison

Preview versus full assessment

The Risk Preview uses a guided questionnaire. The Full Assessment adds LLM extraction, component separation, evidence, and a review-ready dossier.

How risk is determined

Free Risk PreviewGuided answers are mapped to structured facts. Deterministic rules produce preliminary risk signals.
Full AssessmentAn LLM extracts facts from descriptions or documents. Deterministic rules determine each component's classification.

Scope

Free Risk PreviewPreliminary system-level risk and article signals.
Full AssessmentComponent-level classifications, obligations, and deployment implications.

Human review

Free Risk PreviewYou review the preliminary answers and signals.
Full AssessmentYour team verifies extracted facts, assumptions, and material findings before approval.

Evidence and tasks

Free Risk PreviewNot included in the preview.
Full AssessmentEvidence gaps, tasks, a document workspace, and decision history.

Choose the right governance layer

AZComply is focused on EU AI Act classification and evidence. The alternatives below solve different governance and testing problems.

Best fit for Basic preview

Best fit for AZComply

No account, no documents, no AI-generated report. Full Assessment uses credits for LLM extraction and dossier generation.

Start free risk preview

Once your team has a governed decision record, AZComply extends that workflow across your AI systems, evidence and reassessments — when you need it.

Explore AI portfolio governance

06 / Pricing

One credit produces one review-ready decision dossier. Scale to your AI portfolio as deployments grow.

01 · Guided questionnaire preview

€0

Included

  • Preliminary risk level and article signals
  • Main reasons behind the preview
  • Limited obligation preview
  • No LLM extraction or compliance dossier
  • No saved managed AI systems
Start risk preview
Most Popular

02 · 8 dossiers included · ~€12 per dossier

€99/ month

Included

  • 8 Deployment Decision Dossiers per month
  • Deterministic classification + review-ready dossier (PDF + evidence)
  • Evidence Vault + versioned decision history
  • Reassessment when system or context changes
  • Workspace collaboration for DPO / Legal
  • Audit trail and control attestation
  • 8 dossier assessments included
  • Additional systems available

03 · Custom active systems

Custom

Included

  • Several or custom active AI systems
  • Team seats and contract terms
  • Custom generation allowance
  • Advisor, API, and white-label entitlements
  • Procurement and security review
  • Custom support and integrations
  • Annual or manual billing options
  • Priority implementation support

07 / Timeline

Enforcement is phased. Some obligations are already applicable; others have transition periods to December 2027 and August 2028. Your dossier tracks what applies now.

  1. 2 Feb 2025Art. 5 · Prohibited practices

    Prohibitions & AI Literacy in force

    In force
  2. 2 Aug 2025Arts. 51-55 · GPAI obligations

    GPAI Obligations in force

    In force
  3. 2 Aug 2026Art. 50 · Transparency

    Transparency obligations (Art. 50) in force

    In force
  4. 2 Dec 2027Art. 16 + Art. 26 · Annex III

    High-Risk Annex III obligations in force

    Next000Days
  5. 2 Aug 2028Art. 111(3) · Legacy systems

    Legacy AI systems deadline

    Later

Enforcement is phased. Some obligations are already applicable; others have transition periods to December 2027 and August 2028. Your dossier tracks what applies now.

See what applies now - and what comes next

08 / FAQ

Frequently Asked Questions

01Is this legal advice?

No. AZComply is a detection tool: it identifies regulatory indicators and generates compliance analysis reports. It does not constitute legal advice, and its output should not be relied upon as a substitute for qualified legal counsel. The tool framing is 'Article X requires...' not 'you are compliant'.

02When does EU AI Act enforcement start?

Prohibited practices (Article 5) applied from February 2, 2025. General-purpose AI (GPAI) obligations apply from August 2, 2025. Full Annex III high-risk system obligations apply from 2 December 2027 (extended by the Digital Omnibus, in force 27 July 2026). GPAI systemic risk obligations apply from August 2, 2025. AZComply tracks all amendments.

03What is a FRIA and do I need one?

A Fundamental Rights Impact Assessment (FRIA) is required under Article 27 for deployers that are public bodies or private entities providing public services. It assesses impacts on fundamental rights including non-discrimination, privacy, and due process. AZComply automatically detects whether FRIA is required based on your system profile.

04What are the penalties for non-compliance?

Fines are tiered. Prohibited practices (Article 5): up to €35M or 7% of global annual turnover. High-risk violations: up to €15M or 3% of turnover. Incorrect information to authorities: up to €7.5M or 1% of turnover. SMEs and startups may receive proportionate penalties.

05How is AZComply different from hiring a law firm?

AZComply provides fast, structured regulatory detection at a fraction of the cost of legal counsel. A law firm consultation on EU AI Act compliance typically costs €5,000-€50,000+ and takes weeks. AZComply's deterministic engine delivers a preliminary risk classification in seconds and a full paid report in minutes, designed to prepare you for legal review, not replace it.

06Which national laws does AZComply cover?

AZComply publishes national routing overlays for 8 EU member states: Belgium (CAO 9/39/81/100), Netherlands (WOR Art. 27), Germany (BetrVG §87(1)(6), BNetzA), France (CSE, CNIL), Italy (Statuto Art. 4, Garante, INL), Spain (ET Art. 64.4(d), RDL 9/2021, AESIA), Finland (Traficom, FIN-FSA) and Ireland (AI Office of Ireland, WRC, DPC). Overlays add national obligations and authority routing; they never change the AI Act risk tier, which the deterministic engine owns.

07Do you use LLMs? I thought this was deterministic.

Both. Our multilingual extraction pipeline (hosted on sovereign EU infrastructure in europe-west4 with Zero Data Retention) extracts structured facts from your plain-language description in any of 6 languages. Those facts are then passed to our pure Python deterministic engine, which classifies risk against Articles 5, Annex III, GPAI, and national law overlays. The LLM never decides risk level. The engine is authoritative.

09 / The upgradeStart free - upgrade when evidence matters

The free questionnaire returns preliminary signals. The Full Assessment turns real system material into a governed decision record - extraction, component separation, evidence, national overlays, and a review-ready dossier.

NO ACCOUNT, NO DOCUMENTS · NO AI-GENERATED REPORT