Natural language to SAP HANA SQL in ~5 seconds. A tool I built that eliminates the 2–5 day ad-hoc reporting cycle — no ticket, no waiting, no guesswork.
Every time a business user needed an ad-hoc report, they raised a ticket, waited for IT, reviewed drafts, and repeated. SAP Query AI removes that entire loop.
A four-layer stack — Consumption, Engine, Metadata, and Source Systems — designed to translate plain English into validated SAP HANA SQL with schema-aware context injection.
A walkthrough from plain-English question to generated HANA SQL — with live query results and a plain-language explanation of the logic.
Covers the full SAP data landscape — from native HANA tables to Datasphere analytic models and BW/4HANA providers.
| Platform | Data Objects | Status |
|---|---|---|
| SAP HANA Native | Tables, Calc Views | Built |
| SAP Datasphere | Analytic Models, Views | Built |
| SAP S/4HANA | CDS Views (I_, C_, Z_) | Ready |
| SAP BW/4HANA | CompositeProviders, ADSOs | Ready |
| BW[4] PCE | Federation via Datasphere | Ready |
| BEx Queries | MDX generation | Roadmap |
| SAP Analytics Cloud | Stories, Models | Roadmap |
Direct connection to SAP HANA databases — execute queries and return live results in-tool.
Support for legacy BW MDX generation, enabling natural language over BEx reports.
Generate Datasphere graphical views from natural language descriptions — design as you describe.
German, Hindi, and beyond — making data accessible in the language of the business user.
Enterprise-ready query history, role permissions, and audit trail for governed environments.
Whether you're an SAP team looking to reduce reporting overhead, a consultant exploring AI add-ons, or just want a live walkthrough — I'd love to show you more.