Natural language to SQL
Translate stakeholder questions into validated SQL patterns, schema-grounded queries, and explainable outputs.
AI workflows
This page frames AI as workflow infrastructure: prompt systems, grounded retrieval, SQL support, reporting automation, and validation loops.
Workflow architecture
The goal is not novelty. It is reliable decision support for recurring product, business, and operations questions.
Translate stakeholder questions into validated SQL patterns, schema-grounded queries, and explainable outputs.
Reusable workflows for turning cleaned tables, dashboards, and spreadsheets into leadership-ready summaries.
RAG-style patterns where trusted data and documents are retrieved before an answer is generated.
Validation-first AI workflows that keep humans in the loop and treat source data as the source of truth.
AI-supported assumptions, alternatives, budget scenarios, and operational planning narratives.