Supaboard AI positions itself as a single agent that covers the work a data analyst would normally do. You connect a database, spreadsheet or warehouse, supply the business context your team uses, and then ask questions in natural language. Instead of handing back a black-box number, the agent shows the query behind each result, so anyone can audit how a figure was derived.
Answers are not the end of the workflow. Any result can be promoted into a persistent artifact: a live dashboard, a 'datasite' web page built on your data, a PDF report, a slide deck or an automation that runs on a schedule and emails the team. Scheduled reports arrive pre-written, and every run is logged so you can see what fired and what each step returned.
The agent is designed to learn your organisation's definitions. Corrections become rules, approved queries become verified examples, and 'evals' score the agent against questions whose answers you already know — so accuracy is something you can measure. Supaboard also emphasises read-only access: write statements such as DROP or UPDATE are rejected before they reach the database, credentials are encrypted and scoped per workspace, and the company advertises SOC 2 Type II controls, GDPR alignment and a HIPAA BAA at higher tiers.
