BY NUMBER7 AI
Finance BPO · Multi-client AP
Scale AP delivery without scaling every manual touch.
Pransform reports 50K+ AP documents per month across 300+ client companies, with AP staffing requirements changing from 12 to 3. Extraction, validation and exception-led review changed where people worked.
Within the described multi-client AP workflow. Staffing requirement is separate from total delivery cost.
- AP documents per month
- 50K+
- Client companies
- 300+
Customer-reported volume.
Separate books within the reported operation.
01 / The operation
The work that constrained the team.
The delivery challenge was a portfolio problem: many client books, recurring invoice volume and a quality obligation on every transaction. Manual capture and layered quality checks spread human review across the whole population. Growing capacity kept adding labor between evidence intake and usable accounting work.
The published account describes manual capture and layered human checking. It does not identify the exact earlier OCR, RPA or ERP configuration.
02 / What changed
Change the allocation of work.
Capture and arithmetic checks prepare the bill. Reviewers focus on unresolved information with the relevant client context, rather than rebuilding or checking every document from the beginning.
Scroll across to compare the columns
| Work | Before | With AIdaptIQ |
|---|---|---|
| Capture | Manual document entry | Extraction with a review path |
| Quality | Layered human checking | Automated validation plus exception review |
| Allocation | Review across the population | Specialists focus on unresolved work |
| Scaling | More volume adds processing work | Routine flow and judgment take different paths |
The workflow and retained review
Unresolved document questions, accounting judgment, client dependencies and quality oversight remain human work. An exception-led operation still needs a team responsible for completing and checking the result.
Document information, configured checks, human review and the final downstream outcome remain distinct. This case does not claim that every internal Number7 architecture module was deployed.
03 / Reported result
A reported staffing change, within one workflow.
The reported change
The first-party case reports 50K+ monthly documents, 300+ client companies, 12 → 3 AP staff and 90%+ straight-through processing. These are customer-reported operating figures, not independently audited benchmarks.
Evidence basis: Number7 AI’s published customer account and retained case material. These results are not independently audited or universal guarantees. Read the customer evidence ledger · How to evaluate these results
Economics and interpretation
The reported staffing requirement fell by 75%: (12 − 3) ÷ 12. That is not automatically a 75% reduction in total delivery cost. Software, supervision, client coordination, transition work and quality obligations remain. Contract terms determine whether released capacity becomes margin.
Evaluation model — not a realized resultLabor capacity value − incremental platform, oversight and transition cost, adjusted for the actual delivery contract.
04 / Your operation
Will exception-led review improve your client portfolio?
Choose contrasting client books and their difficult invoices. Count preparation, exceptions, client follow-up, rechecks and accounting handoff separately. Compare active effort and quality, not extraction alone.