Governed metrics
Approved definitions determine every returned value
Governed workflow design
Analytics and platform
LLM Single-shot
Conversational Analytics
Operational questions often become spreadsheet requests because metric definitions, tenant access and shipment evidence are fragmented. A fluent answer without governed measures and source links is not decision-grade. Ralixar keeps model assistance behind confidence gates and authorised review.
GOVERNANCE
Confidence-gated intelligence
Unknown terms, ambiguous date ranges, unsupported metrics or inaccessible records trigger clarification or refusal rather than a guessed answer.
The problem
Disconnected evidence creates avoidable review work.
Operational questions often become spreadsheet requests because metric definitions, tenant access and shipment evidence are fragmented. A fluent answer without governed measures and source links is not decision-grade.
Source-linked
Answers point back to records and filters
Governed workflow design
Read-only
Questions cannot change shipment or approval state
Governed workflow design
The AI under the hood
A named technique behind an explicit control boundary.
The model has a bounded job. It does not own the workflow or decide what a person must do.
LLM Single-shot
Technique in plain English
A retrieval-grounded language model maps one question to a governed semantic layer, then explains a bounded read-only result with source links.
Inputs
- Approved metric definitions and synonyms
- Tenant-scoped shipment and event records
- Role permissions and row-level access
- Saved filters, periods and dimensions
Confidence gate
Unknown terms, ambiguous date ranges, unsupported metrics or inaccessible records trigger clarification or refusal rather than a guessed answer.
Rules fallback
Dashboards, saved reports and direct governed queries remain available; metric definitions and access controls do not depend on the model.
What the human decides
A person chooses the question, interprets the result and decides any operational, financial or compliance action.
Evidence and expected outcomes
Industry evidence, not invented product proof.
Each item states its source class and boundary. Ralixar is pre-launch; these figures do not claim customer outcomes.
Access control
NIST guidance treats access control and auditability as foundational information-system controls.
NIST SP 800-53Model risk
NIST AI RMF supports context-specific governance, measurement and management of AI risk.
NIST AI Risk Management FrameworkRead-only boundary
Generated explanations cannot alter approved measures, records or workflow state.
Ralixar analytics control designModules involved
One workflow across a shared shipment record.
Each module works on the same evidence, event and decision history.
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Continue through the same operating record.
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