Data quality gets checked when someone notices a dashboard looks wrong. Freshness alerts cover the big tables; the long tail of feeds is validated by whoever happens to query them. Recurring reports consume analyst mornings — the same joins, the same formatting, the same distribution list. Ad-hoc requests arrive in DMs, get answered from a hurried query, and leave no record of what was run or what it cost. When a pipeline fails at 2 a.m., the runbook is a doc someone wrote two reorgs ago.
None of this is a gap in the warehouse. The warehouse is fine. The gap is the recurring, judgment-adjacent work around it — checking, drafting, triaging — too routine for an analyst’s full attention, too consequential to skip.
Brahmalabs runs that work as scheduled, auditable workflows. Checks run on a cadence whether or not anyone remembers them. Every anomaly becomes a review item in a Data Table — a queue with an owner, not a Slack message that scrolls away. Report drafts are staged as versioned artifacts and park durably on their approval; a run waiting for sign-off burns no compute. Ad-hoc questions become governed runs with a spend ceiling and a per-run cost shown as a labeled estimate, so a “quick question” has a visible price. Agents query inside sandboxed containers with network egress pinned to an allowlist, and credentials arrive from the vault as short-lived scoped references — a prompt never holds a warehouse password.
The boundary, stated plainly: this complements your warehouse and BI stack. Modeling stays where it lives today; dashboards stay in your BI tool. Brahmalabs handles the agent work around them, with a record.
Every workflow here has a named gate. An engineer confirms or dismisses each anomaly. A lead approves each report before distribution — the agent cannot send on its own. An analyst reviews ad-hoc answers and the queries behind them. On-call decides every remediation; agents diagnose and propose. The append-only audit log records who approved what, and when. Agents propose; humans decide.
Start with one workflow. The free tier is enough to run a real one — agents propose, your team decides.