Trusting AI with Your Data: Safe Automation from Branch to Production

Trusting AI agents with your data is one of the biggest unsolved problems in modern data engineering. When agents touch production tables, a single mistake can cascade across every downstream system that depends on them.In this live demo, we show how Bauplan and Recce give you the infrastructure and review tooling to let AI agents work freely on your data- without the risk.

Bauplan's Git-for-Data branching means every agent experiment runs in complete isolation, never touching production until you're ready. Recce's data review agent then surfaces exactly what changed- schema diffs, value distributions, lineage impact- so a human can approve the merge with confidence.

We walk through two real demos end to end: an agent building a user segmentation pipeline from scratch, and a second agent adding bot detection to that same pipeline. Then we show how Recce's agent automatically compares the branches, generates a merge report, and flags downstream impact, turning a complex data review into a structured, auditable workflow.