Natural language makes the question easier to ask. Governed query makes the answer usable.
Let business users, analysts, and AI agents ask questions in ordinary language while Frozion keeps the underlying source, entity, permissions, time, joins, business meaning, result status, and permitted use explicit.
Users get a conversational way to work with enterprise data. Your application still controls exactly what can be queried, from which source, under whose authority, what the result means, and what can happen with it next.
Natural-language request, interpreted proposition, and clarification state.
Canonical entity, source, fields, filters, joins, authority, and time requirements.
Units, freshness, provenance, semantic status, and permitted actions.
A conversational interface backed by explicit query meaning
The application settles intended business meaning before compiling a query, then keeps source, entity, authority, time basis, and result meaning visible afterward.
Question panel
Capture the natural-language request, interpreted business proposition, and ambiguity state.
Governed Query panel
Expose authoritative sources, selected properties, filters, joins, current authority, and time requirements.
Result panel
Show values with units, freshness, provenance, supporting sources, and semantic status.
Application actions
Permit add-to-dashboard, analysis, export, evidence, or lineage only when policy allows.
Give natural-language data work typed, scoped, inspectable structure
The reusable platform is not just text-to-SQL. It is the application infrastructure around source authority, semantic meaning, authorization, context, and evidence.
Query Proposition
The business question the user intended to ask, before technical translation.
Query Scope Contract
The source, entity, fields, joins, filters, purpose, and authority that bound the query.
Temporal Query Contract
Whether the question needs current state, historical state, point-in-time facts, or a time range.
Query Result Contract
The meaning, units, freshness, confidence, and permitted downstream use of the answer.
Compatibility Gate
Checks that the query can be answered without violating semantics, permission, or data scope.
Query-to-Decision Lineage
Connects the answer to the decisions, dashboards, exports, or workflows that use it.
From question to usable answer
Ask
A user or agent asks in ordinary language inside a business application.
Interpret
The platform resolves the request into a typed business proposition and clarifies ambiguity.
Constrain
Authority, purpose, source permissions, entity scope, and time basis are applied.
Return
The result arrives with meaning, provenance, evidence, and permitted next actions.
Build data applications where the answer stays governed.
Use an architecture review to map the query surface, data contracts, permissions, semantic layer, result contracts, and evidence needed for natural-language data access.