Four governance modes. Configurable per decision type.
Different decisions require different levels of human involvement. Vavoris supports four governance modes — applied per decision type, per use case, and per spending threshold. You start conservative and increase autonomy as accuracy is proven.
Decision explainability — down to each scoring node.
Every Vavoris recommendation includes a plain-language explanation of why it was made — which signals triggered it, which rule graph nodes scored it, and what weight each factor contributed. Staff understand every recommendation before they act on it.
Example: Decision explanation for VIP recovery signal
Score contribution by graph node
A complete audit trail for every decision.
Every signal, every score, every governance decision, every human approval or rejection, and every measured outcome is permanently recorded in a tamper-evident audit trail. Regulators, compliance teams, and internal audit can trace any action back to the signal that triggered it.
What governance means in practice.
Governance in Vavoris is not a compliance checkbox. It is the mechanism that keeps human judgment in the loop, ensures every automated action has organizational authorization, and creates the accountability record that regulators, auditors, and leadership can verify.
Every recommendation explained
Staff who receive recommendations see plain-language reasoning before they act. The explanation includes which signals triggered the decision, which factors scored highest, and why the recommended action was selected over alternatives.
Complete, tamper-evident audit trail
Every decision event — signal, score, governance routing, human action, outcome measurement — is recorded with timestamp, operator identity, and system version. The audit trail cannot be edited after the fact.
- 22 production readiness criteria — all 22 passed
- Full traceability: signal → recommendation → outcome
- Zero decisions executed without audit record
Guarded automation — not black-box automation
When automated execution is enabled, it operates only within policy bounds defined and approved by your organization. Spending caps, action type restrictions, and confidence thresholds are enforced by Govern™. Any automated action that would exceed a limit triggers human escalation instead.
Outcome accountability — not just recommendation accountability
The audit trail includes outcomes — not just approvals. When a decision leads to an unintended outcome, the full chain is traceable: which signal, which graph version, which operator approved it, and what happened. Accountability extends to results, not just process.
Outcome-Aware Guardrails
The OutcomeAwareGuardrailNode reads graph precision from calibration data and blocks recommendations when the current graph has not yet proven reliable. Governance is not only about what happens after a recommendation — it also prevents low-confidence recommendations from reaching users in the first place.
Shadow mode before live mode
New decision graphs run in shadow mode — scoring decisions without acting on them — until they demonstrate sufficient accuracy. No new graph version goes live without a data-driven comparison against the incumbent. The upgrade is automatic when the bar is met; it is never pushed prematurely.
Governance is not an add-on. It is the architecture.
If your organization is evaluating AI for decisions that have real consequences — patient outcomes, claim settlements, guest recovery, financial actions — we should talk about how governance is built into the decision loop, not applied on top of it.
Talk to the Vavoris team