Business answers are locked inside enterprise applications with thousands of tables and context that lives in people’s heads, not in any system. See how Data Ask turns that into grounded, natural-language answers — no data engineering team required.
- 3 modes of natural-language access, one governed interface
- 2 prebuilt AKGs today — Oracle EBS and SAP
- 100% of queries permission-checked and audit-logged
What’s inside
- How the Application Knowledge Graph (AKG) replaces months of manual semantic-layer work with automated, always-current schema intelligence
- The three engines behind Data Ask — Structured, Hybrid, and Unstructured — and how the Conversation Router picks the right one automatically
- A real cross-application example: one question spanning Clinical Trials, Regulatory, and QBR documents, answered in a single cited response
- Where Data Ask runs — production databases, the Common Data Platform, lakehouses/warehouses, and cloud ERPs via AI Warehouse — with no migration required
- Use cases across Finance, Sales, Supply Chain, HR, Compliance, and Pharma & Life Sciences
Why it matters
Generic AI tools guess at enterprise schemas and get it wrong in ways that look reasonable — the most dangerous kind of mistake. Data Ask is grounded in the AKG, Solix’s automatically generated semantic layer, so business users get accurate answers on demand and data teams stop being a request queue. It’s the answer layer in Solix’s shift from AI-ready to AI-activated: the same governed data that CDP, ECS, and AI Warehouse make AI-ready is what Data Ask puts to work.
Grounded answers, three access modes, one governed interface.
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Last Reviewed: July 2026
