Professional services
Billability & Utilisation
Revenue leakage caught before the invoice, not after.
Professional services · SAP · Oracle · Workday · Jira
- $1.8M
- annual leakage recovered
- -58%
- invoice disputes
- -90%
- validation effort
Figures on this page are illustrative modelling, not measured customer results. They will be replaced with substantiated data before launch.
Timesheets are validated by whoever has time, against terms nobody has read, weeks after the work happened. Disputes surface at collection, when the relationship is already strained and the evidence is cold.
Every timesheet line checked against SOW terms, rate cards, leave calendars and remaining budget as it lands. Exceptions route to the delivery lead the same day, while the detail is still fresh enough to resolve.
Before and after the same population, same period. Where a figure is a median across deployments the caption says so.
Leakage per quarter
-73%
Invoice disputes
-58%
Lines validated
+733%
| Stage | Today | With smartATOM |
|---|---|---|
| Entry | Free-text lines against a project code | Validated against the SOW as it is submitted |
| Validation | Sampled weeks later by finance | Every line checked; only exceptions reach a human |
| Budget | Overrun discovered at month end | Burn tracked live, alerting before the threshold |
| Invoice | Disputes surface at collection | Exceptions resolved before the invoice is raised |
“Our SOW terms are inconsistent and half of them are PDFs.”
Terms are modelled once per engagement, not parsed from the document. It is an afternoon per active SOW, and it is the same work you currently repeat every month during manual validation — done once instead of continuously.
- SAP
- Oracle
- Workday
- Jira
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