01 / The problem
Context
Business data often arrives in different formats, while the people asking questions may not write queries. QSS describes an AI platform for making that analysis more accessible.
02 / The experience
A connected product workflow
The published case brings data processing and conversational querying together. The useful product pattern is a short path from uploaded information to a question and an easy to review answer.
- 01Upload data
- 02Validate schema
- 03Ask a question
- 04Inspect answer
03 / Technical perspective
Engineering approach
A design for this workflow should validate uploaded files before analysis, preserve source references, and constrain generated queries to permitted operations. Results should remain explainable when data is incomplete.
This section outlines a proposed approach, rather than the company’s verified internal implementation.
04 / Reliability
Testing priorities
Test malformed files, unsupported columns, empty datasets, ambiguous questions, and unsafe query requests. Compare responses against known answers and make source records easy to inspect.
05 / Source & attribution
Explore the product
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