When a compliance officer and an AI agent both query "high-risk customers," they must operate on the same governed definition. Tantor's Semantic Layer makes that possible — and provable.
In regulated enterprises, business concepts are encoded differently across every system — and as AI agents enter the decision chain, that inconsistency becomes a governance liability.
The risk team's debt-to-income ratio excludes certain liabilities; the lending team's includes them. Board reports contradict regulatory filings. Inconsistency compounds with every new system.
An analyst and an AI agent examine the same federated data and reach different conclusions — because they operate from different interpretations of identical fields. In a regulatory examination, this is an accountability gap.
Logic scattered across BI tools, spreadsheets, agent configurations, and individual queries. No single point where the organisation can enforce, audit, or prove the consistency of its definitions.
"When your AI agent and your chief risk officer define 'high-risk' differently, every decision sits on an unstable foundation."
Whether data reaches a human through a dashboard, an agent through an API, or a regulator through an audit report — the definitions are identical. Consistency across the entire enterprise.
Semantic definitions applied at the point of federation — not after physical consolidation. When core banking, credit bureau, and CRM are unified, business meaning is assigned simultaneously. No staging, no delay.
Every business definition carries governance metadata: who created it, when approved, which regulatory framework it aligns with, which access policies control its use, and a complete version history.
Ships with regulator-aligned semantic models for BFSI (RBI, Basel III/IV, IFRS 9), healthcare (HL7 FHIR, ABDM), and utilities (grid reliability, safety compliance). Customise from a regulatory foundation.
Agent decisions reference governed business terms, not raw column names. Instead of "field_042 > 0.75," explanations read "debt-to-income ratio exceeding the BFSI credit risk threshold." Regulator-ready language.
When multiple systems define the same concept differently, the semantic layer surfaces the conflict — and documents the resolution. Every harmonisation decision is version-controlled and auditable.
Standalone semantic tools were designed for dashboard consistency — not for AI agents making high-stakes regulated decisions.
See how Tantor's Semantic Layer creates a governed business vocabulary — where agents and analysts always speak the same language, with full regulatory lineage.