Critical Verification & Hallucination Triage
Tests the ability to spot subtle AI fabrications, numerical errors, and biased reasoning — before unvetted errors reach clients, financial reports, or production lines.
The greatest risk to enterprise AI isn't technical — it's human. Eliama Meribas tests, scores, and certifies your team's real-world AI competency. Identify operational blind spots, stop shadow-AI data leaks, and satisfy EU AI Act literacy requirements with verifiable behavioral data.
Most enterprises buy generic video courses that employees leave playing in a background tab. These courses test passive memory, not active behavioral competence. When a real scenario arises — a subtle hallucination in a contract, sensitive customer data needing anonymization — employees still fail.
Meribas puts employees into simulated operational sandboxes. They interact with realistic scenarios: auditing hallucinated financial balances, debugging broken prompt-chains, and handling confidential client documents. Meribas tracks actual keyboard behavior, verification diligence, and decision latency.
Tests the ability to spot subtle AI fabrications, numerical errors, and biased reasoning — before unvetted errors reach clients, financial reports, or production lines.
Simulated scenarios gauge whether employees leak PII, client NDAs, or proprietary IP into public LLMs — eliminating GDPR fines and trade-secret leakage.
Measures prompt hygiene, context framing, multi-turn steering, and human-in-the-loop sign-offs — ending productivity loss from poorly structured prompts.
Diagnoses hidden resistance, displacement anxiety, and passive rejection of new tools — solving the 70% failure rate of enterprise rollouts caused by non-adoption.
Assesses understanding of copyright boundaries, disclosure rules, and ethical AI standards under EU law — compliance-ready for audits and ISO 42001.
No multiple-choice trivia. Realistic workplace simulations tailored to roles — finance, HR, engineering, legal, supply chain. Employees interact with simulated agents, spot deliberate errors, and demonstrate secure data handling.
Executive dashboards aggregate sessions into anonymized departmental heatmaps: which units are high-risk vectors for data leakage, which teams can run autonomous agents, and where training capital unlocks the most productivity.
Tamper-evident, auditable literacy records. When regulators ask for proof of workforce AI competency, Meribas exports verified compliance logs: when each employee was evaluated, their score, and their mastery of human oversight principles.
Simulated phishing and prompt-injection tests measure how easily staff can be tricked by adversarial AI inputs or tempted into using unapproved public tools for corporate tasks.
Before deploying Protea, Dahlia, or Kervalt, Meribas audits the teams expected to operate them.
Once certified, staff receive role-based credentials to supervise and sign off on autonomous FloraOS agent decisions.
Before deploying high-impact flowers like Dahlia or Protea, Meribas benchmarks plant managers and engineers. Low scores on critical verification restrict automated sign-off permissions until remediation is complete.
For law firms, notaries, and SMEs on Kervalt, Meribas runs sovereign data-handling simulations to ensure zero accidental leaks of unredacted files into external channels.
Quarterly micro-evaluations — five-minute scenarios testing teams on emerging attack vectors, model updates, and regulatory changes.
Benchmark core business units with a full executive report: organizational AI readiness, shadow-AI exposure, and capability heatmaps. The entry point for larger FloraOS or Kervalt implementations.
Continuous quarterly testing and adaptive upskilling, automated EU AI Act Article 4 compliance reporting, and direct API integration with HRIS and identity providers (Okta, Microsoft Entra ID).
Train and certify the primary operational users before go-live, bundled with every enterprise deployment of the Eliama ecosystem.