AI Sources makes AI answers auditable

Basedash is making provenance a first-class product surface, addressing one of the biggest weaknesses in AI-powered analytics: answers that sound confident but are difficult to verify.

• –Query-level SQL and row previews give developers a fast path to debugging incorrect numbers.
• –Context chips expose the mix of warehouse data, governed definitions, charts, MCP connections, and web research used by the agent.
• –Collapsing completed reasoning into an “Analyzed for…” summary preserves a clean chat experience without sacrificing auditability.
• –Separating mutating actions into distinct cards creates a useful boundary between reading data and changing systems.
• –Evidence improves inspectability, not necessarily correctness; teams still need governed metrics, permission controls, and human review. [Basedash](https://www.basedash.com/)