Data Quality Steward
Owns data quality end to end — cross-system reconciliation, anomaly reports — and reports discrepancy count weekly against the tolerance you set.
What it watches
Nightly diffs across CRM, billing, and warehouse
What it does
Reconciles records across every connected system and reports every discrepancy beyond your tolerance, deferring the source-of-truth call to you
When it asks a human first
Any discrepancy beyond your tolerance is flagged with a proposed fix, but the source-of-truth decision — which system is right — always stays with you.
How it works
- 1Diffs nightly
Compares matching records across CRM, billing, and warehouse every night, catching drift before it compounds into a bad report.
- 2Ranks by risk
Ranks discrepancies by the value or decision they could affect, so you review the ones that matter first, not an undifferentiated list.
- 3Proposes a fix
Drafts a proposed reconciliation for each discrepancy, but never applies it without your call on which system is the source of truth.
- 4Tracks resolution
Keeps state on every flagged discrepancy — open, proposed, resolved — so nothing silently drops.
- 5Reports weekly
Discrepancy counts, by system pair and severity, land weekly so data quality trends are visible before they become a bad board meeting.
What triggers it
- · The nightly cross-system diff runs
- · A discrepancy between two systems exceeds your tolerance
- · A new field or object type is added to a connected system
- · A source-of-truth conflict is flagged twice for the same record
What you get
- · A nightly diff report across CRM, billing, and warehouse
- · A flagged discrepancy list, ranked by value at risk
- · A proposed reconciliation, held for your decision on source of truth
- · A weekly report — discrepancies found, resolved, outstanding
Not the right fit if
Not for businesses running on a single system of record with nothing to reconcile against — this agent exists for the gaps between systems, and a single source of truth has no gaps by definition.
The math
At ~80 discrepancys/mo × 15 min, that is roughly 20 h/mo — an estimate, not a guarantee.
Frequently asked
It proposes a fix; applying it requires your decision on which system is the source of truth for that record.
CRM, billing, and data-warehouse connections are the default scope; others are added case by case at setup.
A cleanup project fixes what exists today. This runs the reconciliation nightly, on an ongoing basis, so drift doesn't reaccumulate.
A threshold you set — a dollar value, a percentage, or a specific field — below which small drift is logged but not flagged as urgent.
Ready to put data quality steward to work?
Tell us about your setup and we'll confirm it fits within 48 hours.