Stokeld Holdings LLC · Quovec™

AI System Disclosure & Responsible-Use Statement

Version 1.0 (DRAFT) · For business owners and enterprise clients · Incorporated into the Terms of Service
DRAFT — FOR ATTORNEY REVIEW. This disclosure doubles as a sales-enablement document: it is written to be handed to a client or their counsel. Counsel should confirm alignment with state AI and employment-screening laws applicable to Customer's locations (e.g., Illinois, NYC Local Law 144 analogues) before publication.

1. What Quovec Is — and Is Not

Quovec™ is a decision-support platform for multi-unit business operators. It analyzes the customer's own operational data (sales, labor, inventory, leases) and surfaces findings, scores, and recommendations for human review.

2. How the Intelligence Works (Deterministic by Design)

LayerWhat happensWho/what is responsible
DataCustomer connects or uploads its own systems' data (read-only connections)Customer supplies; Quovec processes
ComputationFindings, variances, forecasts, and the Quovec Score™ are computed by deterministic code — same data in, same answer out, every time, fully reproducibleQuovec software (auditable)
NarrationA large language model (currently Anthropic Claude) writes the plain-English explanation of the computed result. It cannot create or change a number, score, severity, decision, or action. Its output is schema-validated before anything is stored.LLM (narration only)
ActionRecommendations queue for human approval. Auto-send is off by default. The customer's authorized user approves or rejects.Customer (always)

Confidence floors. The system declines to speak rather than guess: findings with insufficient data return "needs data" instead of a low-quality answer; forecast inputs carry confidence values, and — as a matter of platform policy — weather forecasts below 85% confidence are excluded from staffing recommendations entirely.

No training on customer data. Model providers processing data through the Service are contractually restricted from using it to train their models.

3. Employee-Related Analytics — Special Disclosure

Some features surface statistical variances that may be associated with locations, shifts, or personnel (for example, loss-prevention or attendance patterns). Customers must understand and agree:

4. Accuracy, Limits & Appropriate Reliance

5. Security & Privacy Posture (Summary)

Per-tenant isolation enforced at the database (row-level security on every tenant table, verified by automated tests); region-scoped access for managers; asymmetric-key authentication; deny-by-default action gating with human approval on sensitive actions; encryption in transit and at rest; tamper-evident audit logging; per-tenant resource budgets. Details: Quovec DPA (Annex A) and the Architecture & Security whitepaper.

6. Human Oversight Commitments

CommitmentMechanism
A human can always review the basis of a findingEvery finding carries its inputs, method, score components, and confidence
A human approves every sensitive actionApproval queue; auto-send OFF by default; role-gated
A human can correct the systemFindings can be rejected/annotated; thresholds are configurable (owner-gated); recalibration reviews drift
A human can turn any agent offPer-agent enable/disable configuration (owner-gated)

7. Questions & Contact

Technical or compliance questions about this disclosure: security@quovec.com. This disclosure is reviewed at least annually and upon material system changes; the current version is always available at quovec.com/ai-disclosure.

Quovec™ · Hermes COO Engine™ · Stokeld Holdings LLCAI Disclosure v1.0 DRAFT — Attorney review required