AI-Assisted Table Analysis Workflow
A prototype for turning spreadsheet review into structured analysis, anomaly detection, and decision-ready summaries.
A short walkthrough of the interface from table input to analysis output, showing how the workflow is structured for review and interpretation.
Spreadsheet analysis often lives in fragmented workflows: upload in one place, inspect anomalies in another, summarize findings manually, and then repackage insights for business users. This prototype explores how those steps can be unified into a single, more structured analysis flow.
My Morningstar work involved data verification, quality control, and coordination across data processes. This prototype extends that mindset into tool design: not just checking data manually, but organizing review logic into a repeatable workflow that supports faster and clearer analysis.
- 1Data ingestion from spreadsheet files.
- 2Structured preview of columns and analysis inputs.
- 3Exception-oriented analysis flow for highlighting unusual values and patterns.
- 4A product-like interface that can later be connected to real AI services.