AI BI Dashboard Cuts Report Time to 90 Seconds
SpeedMVPs built an AI analytics dashboard MVP for DataLayer: a Next.js SaaS dashboard where users type natural-language questions and receive live SQL-backed charts in under 5 seconds. GPT-4o translates each question into parameterized PostgreSQL using pgvector schema embeddings, results render as interactive Recharts visualizations, and role-based workspaces, saved queries and a one-click Slack export shipped in the same 3-week window. Report time dropped to 90 seconds.
SpeedMVPs built a Next.js SaaS dashboard where users type natural-language questions ("What were our top 10 customers by revenue last quarter?") and receive live SQL-backed charts in under 5 seconds. The stack uses GPT-4o to translate queries into parameterized PostgreSQL via pgvector schema embeddings, with results rendered as interactive Recharts visualizations. Role-based workspaces, saved queries, and a one-click Slack export shipped in the same 3-week window.
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What We Built
- SpeedMVPs built a Next.js SaaS dashboard where users type natural-language questions ("What were our top 10 customers by revenue last quarter?") and receive live SQL-backed charts in under 5 seconds. The stack uses GPT-4o to translate queries into parameterized PostgreSQL via pgvector schema embeddings, with results rendered as interactive Recharts visualizations. Role-based workspaces, saved queries, and a one-click Slack export shipped in the same 3-week window.
The Challenge
- DataLayer's customers, mid-market ops and finance teams, were spending 2-3 days per week wrangling SQL queries and exporting CSVs just to answer routine business questions. Their existing BI tooling required a dedicated analyst for every ad-hoc report, creating a bottleneck that was costing deals and eroding NPS. They needed a self-serve analytics layer that non-technical users could query in plain English, shipped fast enough to demo at their Series A close.
Our Solution
- GPT-4o natural-language-to-SQL engine with schema-aware pgvector embeddings
- Interactive Recharts dashboard with drill-down filters and date-range pickers
- Role-based multi-workspace access (viewer, editor, admin) with row-level security
- Saved query library with scheduled email/Slack digest exports
- Audit log and query explainer panel showing the generated SQL for transparency