Aram Algorithm

EU AI Act Pre-Audit Infrastructure for HR AI Decisions

We turn regulated HR AI decisions into deterministic, replayable evidence — before enforcement, audits, or legal challenge.

Compliance fails when decisions can’t be proven — not when models are imperfect.

Credibility Levels — How Engagement Progresses

Begin with accessible artifacts → generate decision-level evidence in a pilot → formalize benchmarks as a design partner.

Level 1: Orientation & Signal

Lightweight HR AI risk artifacts to orient stakeholders and signal EU AI Act readiness — without making compliance claims.

This level is about clarity before commitment.

Startups

Signal regulatory seriousness early.
Use structured risk artifacts to demonstrate awareness and intent to investors, customers, and early enterprise buyers — before audits and procurement scrutiny begin.

Corporate Labs

Structure internal governance conversations.
Equip innovation boards and risk committees with concrete, decision-anchored inputs — not abstract AI principles.

Frontier Providers

Expose common failure modes early.
Identify peer-pattern blind spots before they harden into product, contractual, or regulatory liabilities.

Policy Influencers

Anchor advocacy in real evidence.
Ground policy and standards work in anonymized, real-world HR AI decision data rather than hypotheticals.

Level 2: Evidence & Pilot Execution

Deep-dive HR AI evidence packs with findings, mitigations, and Annex III-4 failure exposure — generated under pilot conditions.

This level is where claims stop and proof begins.

Startups

Turn pilots into diligence-grade evidence.
Use structured evidence packs as due-diligence armor for VCs, enterprise pilots, and procurement reviews — not as marketing claims.

Corporate Labs

Establish a living compliance record.
Build a defensible trail of findings, mitigations, and remediation decisions that Legal and Risk can replay and stand behind.

Frontier Providers

Shape emerging standards through evidence.
Co-author pilot benchmarks based on observed failure modes — leading with proof rather than following published guidance.

Policy Influencers

Expose systemic weaknesses safely.
Surface cross-system compliance traps using anonymized, real-world pilot data rather than theoretical risk models.

Level 3: Benchmark Authority & Design Partnership

Co-created benchmarks, reports, and dashboards aligned to EU AI Act auditor and enforcement expectations.

This level is about shaping how compliance is interpreted — not reacting to it.

Startups

Set the reference standard in your category.
Use co-created benchmark artifacts to define what “responsible HR AI” means in practice — and force competitors to measure themselves against your evidence.

Corporate Labs

Move from defense to precedent.
Design compliance templates and evidence structures your industry will adopt — reducing uncertainty while increasing strategic leverage.

Frontier Providers

Define obligations before they harden.
Shape GPAI and high-risk HR AI technical benchmarks using observed system behavior — before requirements are fixed by regulators or standards bodies.

Policy Influencers

Translate regulation into practice.
Anchor policy guidance and standards in co-authored benchmarks, whitepapers, and real-world decision evidence rather than abstract risk theory.

Service Features

Responsible AI concept with ethical principles transparency and social impact in technology

Article 5: Prohibited Practices

Identify and eliminate non-negotiable risk.
We assess HR AI and High-Risk AI systems against Article 5 prohibitions, flagging disallowed practices early — before they trigger regulatory or procurement failure.

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Article 50: Transparency Obligations

Make decisions explainable at enforcement depth.
We validate transparency mechanisms and technical documentation required under Article 50, ensuring disclosures are accurate, decision-anchored, and defensible.

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GPAI obligations (Articles 51–55)

Prepare for systemic-risk expectations.
We assess and document GPAI-related obligations, including systemic-risk controls, technical safeguards, and downstream deployment exposure.

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Compliance Gap Analysis (Annex III-4 / Annex IV)

Expose what documentation alone cannot.
We map HR AI systems to Annex III-4 obligations and Annex IV technical files, identifying gaps between written controls and actual system behavior.

Artificial Intelligence (AI) Automation

Advanced Scenario & Adversarial Testing

Test how systems fail — before regulators do.
We execute targeted scenario and red-team testing aligned to EU AI Act failure modes, including edge cases regulators are likely to examine.

African American engineering worker man Quality control.

Auditor-Ready Evidence & Logs

Produce evidence that can be replayed.
We generate structured, reproducible logs and test artifacts designed for Article 50–55 evidence submission and post-incident review.

How We Deliver

Initial Red-Team Execution

Pilot / Pre-Audit
Targeted adversarial testing to surface Annex III-4 and GPAI failure modes before launch or submission.

Ongoing Assurance

Continuous Evidence Retainer
Quarterly testing and evidence refreshes tied to system changes and regulatory shifts.

Benchmark & Standards Partnership

Design Partner Track
Invitation-only collaboration to co-create benchmarks aligned with auditor expectations.

Roadmap: Service → Platform

Services First

Targeted red teaming to surface real failure modes.

Codify & Automate

Repeatable checks turned into internal toolkits.

Semi‑Productized

Dashboards, auto-docs, and blended delivery.

Compliance Platform

SaaS with monitoring and MLOps integration.

Scale & Defensibility

Benchmarks, ecosystem, multi‑reg coverage.

Proof & Trust Builders

We are creating artifacts with early partners—evidence you can show stakeholders.

Benchmark Snapshots

Early independent views on vulnerabilities across pilots.

Pilot Case Notes

Key findings and lessons from initial runs.

Compliance Checklists

Annex IV‑aligned, practical readiness tools.

Mini Reports

Executive‑level briefings for boards & investors.

Compliance Trap Reports

Common pitfalls and how to mitigate them.

Pilot Evidence Packs

Starter documentation mapped to requirements.

Case Examples

Realistic scenarios from red teaming engagements.

Whitepaper Summaries

Early thought leadership distilled for execs.

What it is

An early‑access program to co‑create the first generation of AI compliance evidence while shaping our roadmap.

What you get

  • Sprint red teaming targeting EU AI Act Articles 5, 50, 51–55
  • Pilot Evidence Packs & Mini Reports for auditors and boards
    Compliance Trap Reports from early testing
  • Shared benchmarking insights across pilots
  • Direct input into the compliance platform design
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Why join now

  • Create first artifacts & case studies with us
  • Get audit‑ready outputs early for regulators & customers
  • Be recognized as a pioneer in responsible AI
  • Secure preferred pricing for future platform subscriptions
  • GPAI provider obligations apply from 2 August 2025; broader phases continue through 2026–2027.
Join the Red Team Pilot
Responsible AI concept with ethical principles transparency and social impact in technology

About Us

Why we exist

AI can’t scale without trust. Every system must be tested before it is trusted.

What we do

EU AI Act–focused red teaming for HR AI (Annex III-4), High-Risk AI systems, and GPAI models. We uncover risks, generate evidence, and produce auditor-grade findings aligned to Art. 5, 50, and 51–55.

How we do it

We start as a hands-on partner, run focused red-team sprints, and convert outputs into internal toolkits, dashboards, benchmarks, and reproducible evidence flows.

Connect with Our Experts

Ready to prepare your HR AI or High-Risk AI system for the EU AI Act? Let’s run a focused red-team pilot.

Reach us at [email protected] for AI alignment & Safety queries.

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