PLENA Institutional Suite

AI Accountability & Human Review Suite

For organizations using AI in decisions that affect people — hiring, admissions, benefits, lending, eligibility, content moderation, triage, scoring — and the compliance, ombudsman, and human-review teams responsible for documenting when AI was used, who reviewed it, what was accepted, rejected, or escalated, and what audit trail was produced.

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AGI-era buyer language

AI-assisted decisions · named human reviewer · refusal and appeal path · audit trail

  • Regulators increasingly distinguish between AI-output-as-recommendation and AI-output-as-decision. PLENA documents which one happened, by whom, and on what basis.
  • A named human reviewer with a verifiable receipt is the single most useful artefact in any post-hoc challenge of an AI-assisted decision.
  • Audit trails that the affected person can also verify reduce dispute escalation rates because the record is no longer asymmetric.

Named standards, regulators, and references

Examples for buyer recognition and checklist design. Confirm the applicable jurisdiction before treating any reference as binding.

  • EU AI Act Article 14 (human oversight) and Annex III (high-risk systems) where applicable
  • GDPR Article 22 on automated decisioning and significant-effect decisions where applicable
  • US Executive Orders and federal agency guidance on safe and trustworthy AI where applicable
  • OECD AI Principles and the Council of Europe Framework Convention on AI
  • ISO/IEC 42001 AI management system and ISO/IEC 23894 AI risk management
  • ISO/IEC 23053 AI framework and ISO/IEC TS 6254 explainability references
  • NIST AI RMF including the GenAI profile where applicable
  • Sector-specific human-review obligations in hiring, lending, healthcare, and benefits as applicable

Suite-specific PLENA proof workflow

Universal institutional flow: Intake → Review → Receipt → Escalation → Archive. The goal is not to replace official systems. The goal is to prove who acted, who reviewed, what evidence existed, what changed, and how the record can be verified or preserved.

Intake: open the decision file in AEQUITA with the affected person’s context, the AI-assisted output, and the institutional rule under which the decision is made.
Review: attach LEGIBLA plain-language notice of the decision and rights, PROVA evidence-of-consideration packets, and DETECTA flags for synthetic or unreliable inputs.
Receipt: issue the Human Review & AI Decision Audit Pack and the VRX-1 Human Review Receipt anchored to the named human reviewer.
Escalation: route refusal, appeal, or ombudsman pathways through AEQUITA with TEMPORA-tracked appeal windows.
Archive: preserve the full decision trail in CONSERVA, with selected VRX-1 verification links for the affected person, regulator, or ombudsman.

Recommended PLENA route

AEQUITAPROVACONSERVALEGIBLADETECTA

Open Verify, Paid Create: public verification can be open, while creation, management, renewal, preservation, staff training, registry controls, and audit exports remain paid or permissioned services. Buyer-ready output: Human Review & AI Decision Audit Pack.

Open AEQUITAAI OversightOpen procurement packPublic VerifyAll institutional suites

Front-end preview output

{ "suite": "AI Accountability & Human Review Suite", "cores": ["AEQUITA"], "diagnostic_modules": ["PROVA", "CONSERVA", "LEGIBLA", "DETECTA"], "buyer_ready_output": "Human Review & AI Decision Audit Pack", "workflow": "Intake -> Review -> Receipt -> Escalation -> Archive", "boundary": "Preview workflow only; not legal advice, not official certification, not live registry unless implemented." }

Buyer pilot, sample output, and platform flow

A buyer should see the use case, the output, and the PLENA route in one glance. This section keeps the suite practical without claiming official verification or live registry status.

Best-fit buyers

AI governance officeCompliance teamUniversity AI review boardHR or hiring teamLending or benefits officePublic-sector digital team

30-day pilot package

30-day AI human-review pilot for one decision workflow: AI use log, named reviewer, accept or reject path, appeal window, and audit packet.

Suite-to-platform flow

AEQUITA → DETECTA → LEGIBLA → TEMPORA → CONSERVA

Each platform keeps its role. The suite shows the buyer how the route works together.

Sample output preview

{ "suite": "AI Accountability & Human Review Suite", "sample_output": "VRX-1 Human Review Receipt", "status": "sample_preview_not_live_registry", "flow": "Intake -> Review -> Receipt -> Escalation -> Archive", "platform_route": [ "AEQUITA", "DETECTA", "LEGIBLA", "TEMPORA", "CONSERVA" ], "boundary": "Front-end preview. Not official verification, legal advice, government action, or a live registry unless separately implemented and verified." }
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