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.
| Layer | What happens | Who/what is responsible |
|---|---|---|
| Data | Customer connects or uploads its own systems' data (read-only connections) | Customer supplies; Quovec processes |
| Computation | Findings, variances, forecasts, and the Quovec Score™ are computed by deterministic code — same data in, same answer out, every time, fully reproducible | Quovec software (auditable) |
| Narration | A 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) |
| Action | Recommendations 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.
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:
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.
| Commitment | Mechanism |
|---|---|
| A human can always review the basis of a finding | Every finding carries its inputs, method, score components, and confidence |
| A human approves every sensitive action | Approval queue; auto-send OFF by default; role-gated |
| A human can correct the system | Findings can be rejected/annotated; thresholds are configurable (owner-gated); recalibration reviews drift |
| A human can turn any agent off | Per-agent enable/disable configuration (owner-gated) |
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.