Deterministic admission control for high-stakes AI outputs
Control which claims make it into high-stakes AI outputs.
QEL is a patent-pending deterministic admission-control layer for AI-generated, imported, and human-reviewed claims. It compiles final outputs only from admitted registry records and preserves excluded claims in audit appendices.
Problem
The risk is not only what AI generates. It is what gets admitted into the final output.
High-stakes AI workflows can produce polished documents that mix supported claims, weak claims, unresolved claims, and unsupported claims. QEL focuses on the admission layer: deciding which claims can enter the final packet, which require review, and which must be excluded.
Product mechanism
QEL turns proposed statements into governed claim records.
QEL does not ask an LLM to freely write the final answer. It builds final outputs deterministically from admitted registry records.
Claims are evaluated against evidence, source constraints, rule packs, and review decisions.
Only admitted claims are compiled into the final output.
Control surface
What QEL controls
Claim admission
QEL decides which proposed claims are admitted, routed to review, rejected, or blocked.
Evidence governance
Claims are constrained by evidence, source types, rule packs, and traceable support requirements.
Human-review routing
High-risk or unresolved claims can be preserved for governed review rather than silently entering the final packet.
Final packet construction
Final outputs are compiled only from admitted registry records.
Provenance and replay
Traceability, replay, and drift artifacts make output changes inspectable.
Integrity artifacts
Signature-verifiable exports, local ledger records, and local hardening reports support technical diligence.
Prevention
What QEL prevents
Unsupported final-output claims
Claims without required evidence are blocked from final packet construction.
Silent review bypass
Human review creates governed review decisions and audit events.
Untraceable final documents
Compiled output blocks trace back to claim records, evidence, decisions, and provenance artifacts.
Raw AI leakage
Synthetic stress tests verify that raw AI text is not used directly in final output.
Synthetic proof
Tested across synthetic high-stakes workflows.
QEL has been evaluated on realistic synthetic workflows across enterprise AI governance, healthcare RCM, insurance claims, financial regulatory evidence, legal document review, and procurement compliance. The current stress suite tested clean, messy, and adversarial cases across six verticals.
6 vertical categories
6
18 synthetic stress cases
18
Clean, messy, and adversarial cases
Clean, messy, and adversarial
Unsafe leakage detected
None detected in synthetic stress tests
Raw AI text used
No
Synthetic technical validation results, not proof of production readiness or customer workflow fit.
Animated demo
Deterministic flow from candidate claim to audit-oriented export.
Candidate claims
Evidence and rule checks
Admission decisions
Deterministic final packet
Audit and provenance export
Synthetic screenshots
Premium synthetic interface mockups for controlled review.
These synthetic screenshot-style views are rendered directly in local HTML/CSS and show no customer data.
Evaluation categories
QEL is being evaluated for workflows where unsupported claims create operational, legal, financial, or reputational risk.
Enterprise AI Governance
Evidence-constrained release workflows and internal control evidence.
Healthcare RCM
Synthetic prior authorization, denial, and appeals-style evidence routing.
Insurance Claims
Synthetic claim-dispute packets and coverage-support constraints.
Financial Regulatory Evidence
Synthetic audit, response, and control-evidence workflows.
Legal Document Review
Synthetic demand-letter and evidence-review style workflows.
Procurement Compliance
Synthetic contract, supplier, and invoice-support workflows.
Patent-pending
QEL is patent-pending.
QEL is patent-pending, with provisional filings covering deterministic claim admission, registry-governed output construction, provenance, replay, integrity artifacts, and controlled evaluation workflows.
Safe-use limitations
Local technical MVP for controlled evaluation.
QEL is currently a technical MVP for controlled private evaluation. Public materials use synthetic data only. QEL is not presented as production SaaS, legal advice, medical advice, regulatory approval, HIPAA compliance, SOC 2 compliance, factual certainty, or a substitute for human review.
- Technical MVP for controlled evaluation
- Synthetic materials only
- No customer data shown
- No production, legal, clinical, regulatory, HIPAA, or SOC 2 claims
- Human review remains required
Private evaluation
Request a controlled private evaluation.
We are currently speaking with advisors and design partners in AI governance, GRC, compliance, audit, legal operations, and other high-stakes document workflows. Evaluations use synthetic or redacted materials only.
suleiman@qualifiedevidencelayer.com