Real report · company details redacted with permission

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The company

Sector
HR technology — AI-assisted candidate screening
Size
11 people, Berlin, ~€1.4M ARR
Their AI
Ranks and shortlists applicants for mid-market employers, built on a commercial LLM with light fine-tuning
Why they ran it
An enterprise prospect's legal team asked for their AI Act position in writing. They had 10 days to answer.

This is a self-assessment tool, not legal advice. For binding determinations, consult a qualified EU AI Act compliance advisor.
Regulation status: reflects the June 2026 AI Omnibus amendments.

High Risk — as a provider

You build and sell an AI system that ranks job applicants for employers. That places you in Annex III, point 4(a) — employment and worker management — and you are the provider, because the system is offered to others under your own name. We checked whether the Article 6(3) exemption could remove you from High Risk. It cannot, and the reason is specific: your system ranks and materially influences shortlisting decisions rather than preparing them, and it profiles individuals. Either fact alone would close that door.

What This Means for You

Obligations That Apply

These apply to you as a provider. Deadlines are the current post-Omnibus dates.

ObligationArticleDeadline
Risk management system — continuous, documented, covering the full lifecycleArt 92 Dec 2027
Data governance — training and test sets examined for bias. Acute for you: shortlisting models replicate historical hiring patterns unless actively correctedArt 102 Dec 2027
Technical documentation — Annex IV, before placing on the marketArt 112 Dec 2027
Automatic logging — you answered "partially". Needs to be complete and retainedArt 122 Dec 2027
Instructions for use — your employer customers are deployers with their own Article 26 duties. They cannot meet them without documentation from youArt 132 Dec 2027
Human oversight by design — a recruiter must be able to understand and override a ranking, not just see itArt 142 Dec 2027
Accuracy, robustness, cybersecurity — you answered "informally tested". This becomes a documented obligationArt 152 Dec 2027
Quality management systemArt 172 Dec 2027
Conformity assessment + CE markingArt 432 Dec 2027
Registration in the EU databaseArt 492 Dec 2027
Serious-incident reporting — you answered you were unaware of this. Needs a written procedureArt 732 Dec 2027
Transparency to candidates — applicants must know AI is involved. Your current disclosure sits in your customers' privacy policies, which is not sufficientArt 50Live now
AI literacy — staff building and supporting the system need documented competenceArt 4Live now

Overlaps worth knowing

Not Your Responsibility

Your employer customers are deployers. These duties are theirs, not yours — and knowing the split is worth money in a sales conversation, because their legal team will ask:

What they need from you is your Article 13 instructions for use. Producing those early turns a compliance obligation into a sales asset.

What you're already doing right

  • You document your training data sources and hold a copyright/TDM policy. Most teams at your stage do not, and this is direct evidence for Article 10.
  • Recruiters make the final decision and can override rankings. That is the substance of Article 14 — it needs documenting, not inventing.
  • You identified biased shortlisting as your worst realistic failure. Naming your own highest risk accurately is what a regulator wants to see, and most self-assessments dodge it.

Your Remediation Checklist

  1. Publish a candidate-facing AI disclosure. Enforceable now. Not in your customers' privacy policy — visible to the applicant at the point of application. Draft wording is in your Document Pack. Cost: an afternoon.
  2. Run and record an AI literacy session. Enforceable now. Half a day, minuted, attendance kept. Covers what the model does, its limits, and how to spot a bad ranking.
  3. Write your Article 13 instructions for use. Not due until 2027, but your customers need it for their own compliance — and your next enterprise deal will ask for it.
  4. Finish the DPIA. Already in progress. It is the foundation of your Article 9 work; doing them separately duplicates months of effort.
  5. Commission a bias audit of shortlisting outputs. Article 10 plus AGG exposure, and the single most likely source of a real complaint. Budget for an external reviewer.
  6. Complete your logging. "Partially" becomes non-compliance in 2027, and logs are your only defence if an output is challenged.
  7. Draft a serious-incident procedure. Two pages. Define what counts, who reports, to which authority.
  8. Scope conformity assessment with an external advisor by Q2 2027. Working backwards from 2 Dec 2027, that is the last comfortable moment to begin.

Next Steps

  1. This week: ship the candidate disclosure and answer your prospect in writing — you now have a dated document that says exactly where you stand.
  2. This month: finish the DPIA and draft the instructions for use.
  3. This quarter: commission the bias audit and get a fixed quote for conformity assessment.

Report details

Company
redacted at customer's request
Report reference
RGL-2026-0037
Assessment date
29 July 2026
Assessed against
Regulation (EU) 2024/1689 as amended by the June 2026 Digital Omnibus
Issued by
Reglynn · reglynn.eu — self-assessment, not a conformity assessment or certification
How it was made
Generated by an AI system (Reglynn, built on Anthropic's Claude) from your assessment answers, against Reglynn's question set and risk logic. Reviewed before delivery. Reglynn is a Limited Risk AI system under Article 50 and discloses AI involvement wherever it occurs — our own self-assessment.
Verification
The issuer can confirm this report was generated by Reglynn on the date above — hello@reglynn.eu

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Buyers of the €139 Document Pack also receive three draft compliance documents built from their own answers: a risk management plan, a transparency notice and a human oversight procedure.