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✅ Proof / Case Studies

Proof by artifacts — not by marketing

Governments and large enterprises don’t buy “a model”. They buy a governed system: measurable, auditable, reversible, and secure. This page presents reference scenarios and the auditable deliverables shipped with Geniuspace®.

📜 Audit trail & reports 🧾 RFP pack (copy‑paste) 🛡️ On‑prem / VPC / Air‑gapped 📈 KPIs & go/no‑go gates

Executive summary

Goal Turn AI ambitions into audit‑ready execution: reproducible tests, logs, governance artifacts, and procurement‑ready documentation.

  • Traceability: versions, prompts, datasets, decisions, deployments.
  • Evaluation: test suites, metrics, thresholds, formal reviews.
  • Security: RBAC, DLP, segmentation, red‑team, kill switch.
  • Procurement: RFP requirements, SLA/SLO, reversibility clauses.
📦 Open the Procurement Pack (HTML) 🏛️ Governance & sovereignty 🧩 Geniuspace® (algorithm) ⬇️ Briefing PDF

KPIs (examples)

Cycle timeprocurement / case handling / production throughput
Compliancetest pass rate + go/no‑go thresholds
Resilienceincidents, MTTR, availability, reversibility

Scenarios below are reference blueprints. Sensitive details (data, exact metrics, architecture) can be shared under NDA.

Reference case studies

1) Public sector — sovereign knowledge assistant

Context: high document volumes, privacy requirements, answer traceability, data residency.

Approach: RAG over internal repositories + citation rules + logs + validation workflow.

  • Deployment: on‑prem/VPC, controlled keys, dependency control.
  • Evidence: evaluation reports, logs, versioned prompts, governance register.
  • Exit: go/no‑go criteria, reversibility plan, incident runbooks.
🏛️ Public sector🛡️ Sovereignty📜 Audit

2) Critical operator — incident response copilot

Context: IT/OT incidents, runbooks, MTTR reduction, isolation constraints (air‑gapped possible).

Approach: SOP‑guided assistant + observability + strict journaling.

  • Controls: RBAC, network segmentation, tool restrictions, kill switch.
  • Evidence: red‑team tests, reports, execution traces.
  • KPIs: MTTR, error rate, runbook coverage.
⚡ Critical🧪 Testing🧯 Incident

3) Large enterprise — procurement & negotiation augmentation

Context: long cycles, contractual risk, multi‑jurisdiction requirements.

Approach: clause extraction, risk scoring, variant drafting, decision traceability.

  • Artifacts: RACI, SLA/SLO templates, security & reversibility clauses, audit checklists.
  • Evidence: logs + evaluation reports + change register.
  • KPIs: cycle time, compliance, acceptance rate, disputes avoided.
🏢 Enterprise🧾 RFP🤝 Negotiation

4) Industry — edge SLM & governed R&D

Context: industrial sites, latency, confidentiality, constrained networks, continuity needs.

Approach: small language models on edge + evaluation pipeline + audit‑ready LLMOps.

  • Deployment: edge/on‑prem, observability, measured cost/latency/perf.
  • Evidence: SBOM, model card, dataset traceability, drift reports.
  • KPIs: latency, cost, quality, incidents, field adoption.
🏭 Industry📟 Edge📊 Observability

Evidence deliverables (checklist)

These artifacts are what procurement teams, auditors and security reviewers need to validate a governed AI system.

  • Governance: charter, RACI, policies, review cadence, decision log.
  • Security: RBAC/MFA, DLP, segmentation, logging, incident response.
  • Evaluation: test sets, metrics, thresholds, reproducible reports, red‑team.
  • Operations: runbooks, monitoring, SLO/SLA, change management.
  • Reversibility: exit plan, portability, timelines, evidence archive.
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