An automated upload portal where operators submit files in any format. AI transforms data to match Dataverse schema, flags anomalies, and provides a visual dashboard for Mobile Infrastructure to review and approve transaction data—creating a centralized "first stop" for operator transaction submissions.
A visual tool that accepts operator transaction spreadsheets and instantly flags anomalies such as unusual patterns, outliers, and format inconsistencies enabling the data team to catch discrepancies before manual reconciliation begins.
Tool successfully identifies anomalies in operator sample files with 90%+ accuracy
Anomaly detection completes within 30 seconds of file upload for 12 columns by 120 rows.
Visual dashboard highlights anomalies by column
$48,400/year
Sean Coyne
How long does it take to make this decision?
(decks, meetings, approvals, etc.)
What cost does this problem create now?
(software, vendor fees, etc.)?
How many staff hours does this task take?
(reconciling data, handoffs, etc.)?
Which key risks exist now?
(manual entry errors, churn, etc.)?
What revenue could this unlock?
(improve conversion, renewals, etc.)?
Data issues discovered during manual reconciliation against accounting statements, 5-10 days after operator submission
Month-end close delayed due to late-discovered data issues requiring operator follow-up
Data team spends 6-8 hours/month manually reviewing 50-100 operator files for obvious issues before full reconciliation
Subset of anomalies flagged within 30 seconds of file upload, enabling immediate operator pushback
Earlier anomaly detection reduces close timeline by 2 days, reducing rush work and overtime
Automated anomaly flagging reduces initial review time to 2-3 hours/month (60% reduction)