AGENTIC BUSINESS INTELLIGENCE

Agentic Business Intelligence for trusted enterprise decisions

Ask questions across governed enterprise data in natural language and receive accurate answers as tables, charts, narratives and drill-downs.

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Explore the Enterprise Context Layer

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WHY YARNIT

Why Yarnit for Agentic BI

Yarnit brings together the business context, analytics engineering and agent runtime required to turn a natural-language interface into reliable enterprise business intelligence.

Business Context

Yarnit grounds questions in approved metrics, entities, relationships, ontologies and policies. This helps the system interpret terms such as revenue, active customer, risk or growth according to the enterprise's own definitions.

Reliable NL-to-SQL

Yarnit does more than generate SQL from a prompt. It resolves intent, identifies the relevant data, plans the analysis, produces dialect-aware SQL, validates the query and evaluates performance against representative business questions.

Flexible Deployment

Our teams work with business and data owners to configure calculation logic, access rules, evaluation sets and the user experience. Agentic BI can then run within the enterprise's preferred architecture and security boundaries.

HOW IT WORKS

How Yarnit Agentic BI works

Each question moves through a governed agentic workflow that connects business meaning, data access, analytical reasoning and answer generation.

Users can ask questions such as 'Which regions are missing forecast?', 'What is driving service cost?' or 'Where are customers losing momentum?' without needing to know the underlying schemas or SQL.

CatalogIQ

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The system identifies the user's intent, timeframe, entities, metrics and permitted data sources. It uses the Enterprise Context Layer to apply governed definitions and relationships before querying the data.

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Yarnit routes the task to the appropriate agents and tools, generates the required SQL, checks the query and result, and retains an evidence trail of the sources and logic used.

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The response can include a direct answer, table, chart and narrative. Users can then change a period, compare a segment, investigate a driver or move to permitted underlying records without restarting the analysis.

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CORE CAPABILITIES

Core Agentic BI capabilities

Yarnit combines business context, natural-language analytics, agentic orchestration and enterprise controls in one forward-deployed solution.

Enterprise intelligence layer

Business glossaries, domain ontologies, context graphs, governed metrics and app contracts give the system the meaning required to interpret enterprise questions consistently.

Advanced NL-to-SQL

The NL-to-SQL compiler resolves intent, links schemas, plans the query, generates SQL for the target dialect, validates the output and repairs the query path when required.

Agent Orchestration

YaOS routes each step to the appropriate model, data source, analytical method or deterministic tool, improving control and efficiency across the complete analytical workflow.

AGENTIC BUSINESS INTELLIGENCE

Build Agentic BI around your enterprise data

Give business teams a governed way to ask questions, understand results and explore enterprise data without waiting for another dashboard or manual analysis.

Build Your Agentic BI