Before Agentra
Invoices moved through email and spreadsheets while teams manually checked vendors, PO matches, duplicate risk, and approval thresholds.
Representative AI invoice approval case study with extraction, PO matching, exception routing, approval thresholds, and audit logs.
Invoices moved through email and spreadsheets while teams manually checked vendors, PO matches, duplicate risk, and approval thresholds.
A workflow that extracts invoice fields, checks vendor/PO signals, routes approvals, flags exceptions, and preserves audit context.
| Evidence area | Current status | What would make it stronger |
|---|---|---|
| Case label | Representative workflow case | Approved status, reviewer, and date. |
| Metric movement | Invoice cycle time, Approval delay hours, Touchless rate for fit invoice types, Duplicate-risk reduction | Before/after values, measurement window, and data source. |
| Workflow path | Stack, controls, before/after narrative. | Redacted workflow map, screenshot, or short screen recording. |
| Approval controls | AI cannot release payment, Mismatch review | Approver role, exception sample, and audit-log example. |
Agentra will qualify owner, KPI, data, access, approval rules, and deployment readiness before recommending a diagnostic or rejecting the fit.