Data quality monitors
Track completeness, timeliness, and rule violations on workflow-critical ERP data.
Problems surface before decisions fail.
Managed Services · Data Quality
Managed ERP and data quality monitoring for AI-ready operations
Catch data and ERP drift before it breaks AI-assisted decisions in production workflows.
Overview
The problem
Master data, integration jobs, and field workflows drift silently — AI systems inherit bad inputs without anyone accountable.
BBI approach
BBI combines ERP fluency with data quality monitoring and executive operating intelligence, tied to Proof Ledger expectations.
Measurable outcome
Early warning on data issues, clear ownership, and evidence for fix-or-pause decisions.
Framework pillars
Integration health
Watch batch/API paths that feed AI or automation layers.
Fewer broken handoffs.
Human review triggers
Route anomalies to operators with context — not blind alerts.
Actionable operations response.
Proof-safe reporting
Monthly summaries suitable for leadership and client-safe evidence packs.
Trustworthy operating records.
How BBI works
AssessCritical data paths
DiagnoseMonitor design
PrioritizeAlert thresholds
ImplementMonitoring runbooks
VerifySample validations
Record proofQuality ledger
Proof & outcomes
What gets measured
Data quality KPIs, incident counts, time-to-resolution, and AI input reliability proxies.
Evidence produced
Monitoring logs, review records, and readiness trend notes.
Decision improved
Continue AI on workflow, remediate data, or pause automation.
Before you book
Questions buyers ask first
What happens when I book a call?
You answer a short form about the workflow, your role, and your timeline. Based on fit, you are offered a discovery call or pointed to self-serve resources, right on the page.
What should I bring to the first conversation?
One workflow, decision, or exception that already costs time or carries risk, and the name of the person who owns it. A full AI strategy is not required.
What if AI does not belong in that workflow?
That is a finding, not a failure. The diagnostic ends in a written go / no-go that names what would have to change before the answer becomes yes.
How is pricing set?
Pricing depends on scope, evidence needs, workflow complexity, and review requirements. BBI does not quote implementation work before understanding the workflow and its risk boundary.
Start with one workflow
Bring one workflow. BBI will help you decide whether AI belongs there — with evidence, human review, and governed execution.