AP OPERATIONS · FINANCE BPO

Pransform Inc.
At 50K+ documents per month across 300+ client companies, extraction, validation and exception-led review changed where people worked.
Read Pransform’s case study
BY NUMBER7 AIOpen AIdaptIQ ↗Book a demo →PROOF
AIdaptIQ publishes three separate customer cases: multi-client AP, purchase-order intake and freight reconciliation. Each result is shown with its workflow scope; the figures are not combined into one benchmark.
CUSTOMER CASE STUDIES
Each result belongs to a separate workflow and measurement scope.
AP OPERATIONS · FINANCE BPO

At 50K+ documents per month across 300+ client companies, extraction, validation and exception-led review changed where people worked.
Read Pransform’s case studyPURCHASE-ORDER INTAKE · CAPABILITY PROOF

Email PDFs, scans and WhatsApp-originated images entered one extraction, SKU-mapping and review path.
Read JSK Automation’s case studyFREIGHT RECONCILIATION · CAPABILITY PROOF

LR, invoice and operating context were connected so discrepancies could become owned follow-up earlier.
Read Fairlorry’s case studyMulti-client finance BPO delivery, exception-led review and scoped staffing economics.
Multichannel purchase-order intake and SKU mapping—not the near-term stateful three-way match.
Continuous evidence reconciliation in freight operations—not a universal enterprise AP benchmark.
Results are customer-reported and do not share one denominator. How to interpret these results →
CHOOSE THE EVIDENCE
See the prior automation, remaining human work, AIdaptIQ intervention and qualified result.
Freeze the transaction population, success definition and manual-rescue policy.
Measure the automation boundary on representative difficult documents.
BUYING BOUNDARIES
Start with the production boundary or use your own documents.