Broken pipelines rarely announce themselves — a schema shifts, a dedupe step silently fails, two systems drift apart. Your agent profiles across stores on a schedule and tells you what changed, in plain language.
The check that matters most — does the warehouse still agree with the source system — requires reaching both. Single-store DQ tools can't ask it.
Volume, nulls, distributions, referential drift — the agent writes checks suited to each table's shape instead of a generic threshold sweep.
What returns is a short brief: what drifted, since when, likely blast radius. The kind of alert someone actually reads.
Book a demo and we'll run data quality monitoring against systems like yours — your stores, your policies, live — and map the path to a deployment in your VPC.