AIdaptIQ by Number7AIAccounts payable & Invoice automation
AIdaptIQ turns messy invoices and multi-page PDFs into validated, ERP-ready AP—with fewer exceptions and clearer audit trails.
Traction Bar
The Problem We Solve
Between extraction and ERP posting, there is no intelligence layer. Every invoice passes through a a human bridge.
Math doesn't add up
IDP extracts $12,400 — invoice actually totals $14,200. No one checks until month-end.
GL codes assigned by guesswork
Codes picked by vendor name, not line-item context. Wrong postings compound silently.
PO mismatches caught weeks later
Three-way match fails silently until month-end close. By then it's a fire drill.
Duplicate entries, no detection
Same invoice posted twice across batches. ERPs have no memory. No one notices until reconciliation.
Built for Real Operations
offers together
Multi-invoice Detection
Auto-split a 50-page PDF into individual invoices. Even handles mixed page ordering.
AI-Powered Extraction
AI-powered data extraction & normalization for any vendor format globally.
Line-Item Capture
Every line item checked: Qty × Rate + Tax = Total. Results color-coded for clarity.
Validation Checks
Three-way match validation against PO and GRN data directly from your ERP.
Duplicate Detection
Flags duplicates across all batches instantly. Never pay the same invoice twice.
Human-in-the-Loop
Semantic GL auto-assignment that learns from every human correction in real-time.
How AIdaptIQ Works
Structured, Validated, and Audit-Ready Financial Data — In Minutes
- Upload invoices, receipts, and PDFs.
- Track document status.
- Vendor details & Invoice info.
- Tax and detailed line items.
- Total vs line item sum checks.
- Exception flags with codes.
- Review exceptions, edit inline.
- Collaborate and approve.
- Export to CSV/Accounting templates.
- Sync with ERP via hooks.
What Finance Teams Say
Quotes from published customer case studies on number7ai.com.
Pransform Inc.
BPO · 50K+ documents/month
AIdaptIQ reduced our team from 12 to 3 while handling 50k documents with stronger accuracy than our previous manual process.
Read case studyJSK Automation
Industrial distribution
Our team stopped being data-entry operators and started closing deals faster. Every PO now enters our system with far less manual effort.
Read case studyFairlorry
Freight logistics
Reconciliation moved from 2-3 day manual cycles toward real-time exception-led processing, improving billing integrity and response speed.
Read case studyPransform Inc.
BPO · 50K+ documents/month
AIdaptIQ reduced our team from 12 to 3 while handling 50k documents with stronger accuracy than our previous manual process.
Read case studyJSK Automation
Industrial distribution
Our team stopped being data-entry operators and started closing deals faster. Every PO now enters our system with far less manual effort.
Read case studyFairlorry
Freight logistics
Reconciliation moved from 2-3 day manual cycles toward real-time exception-led processing, improving billing integrity and response speed.
Read case studyPransform Inc.
BPO · 50K+ documents/month
AIdaptIQ reduced our team from 12 to 3 while handling 50k documents with stronger accuracy than our previous manual process.
Read case studyJSK Automation
Industrial distribution
Our team stopped being data-entry operators and started closing deals faster. Every PO now enters our system with far less manual effort.
Read case studyFairlorry
Freight logistics
Reconciliation moved from 2-3 day manual cycles toward real-time exception-led processing, improving billing integrity and response speed.
Read case studyPransform Inc.
BPO · 50K+ documents/month
AIdaptIQ reduced our team from 12 to 3 while handling 50k documents with stronger accuracy than our previous manual process.
Read case studyJSK Automation
Industrial distribution
Our team stopped being data-entry operators and started closing deals faster. Every PO now enters our system with far less manual effort.
Read case studyFairlorry
Freight logistics
Reconciliation moved from 2-3 day manual cycles toward real-time exception-led processing, improving billing integrity and response speed.
Read case studySeamless Integrations
Connects to your existing stack
No manual data entry between systems. AIdaptIQ syncs directly with your core accounting software in real-time.
Stress Tests — The Kill Shot
Multi-Doc Batch (Shuffled PDF)
32-page PDF with invoices from 8 vendors. Pages shuffled out of order.
Math Validation (Discrepancy Test)
Invoice with line items that don't add up to the stated total.
Duplicate Prevention (Double-Invoice)
Same invoice submitted in two separate batches, days apart.
Hallucination Safety (Ordinal Query)
Ask the AI agent "What was the 3rd invoice?" — fabrication test.
Before vs After — The Priya Story
Meet Priya. She Runs AP.
This Is Her Day.
Collects invoices from Gmail, WhatsApp, vendor portals, courier scans
Scans & uploads to IDP tool (CamScanner → BILL / Stampli / Nanonets)
Reviews every field: IDP dashboard + PDF side-by-side. Checks math, GL codes, duplicates.
Validates totals in Excel, assigns GL codes by guesswork, posts to ERP, emails vendors
0:45 — All 12 invoices processed (fully automatic)
3:00 — Review only flagged items (color-coded confidence)
1:15 — Approve + post to ERP in one click
Autonomous Extraction
Scroll to Start
Validated Output
97%+ Confidence Level
Head-to-Head: The Intelligence Gap
| Capability | BILL | Dext | AutoEntry | Stampli | AIdaptIQ |
|---|---|---|---|---|---|
Auto-split multi-vendor PDF 50+ pages, mixed vendors | ✕ 1 invoice/upload | ≈ Page-break split | ✕ 1 invoice/upload | Manual split | ✓ AI vendor detect |
Math validation engine Qty × Rate + Tax = Total | ✕ No line check | ✕ OCR only | ≈ Arithmetic rules | ✕ No validation | ✓ Every line checked |
Semantic GL code assignment Context-aware, not JSON rules | ≈ Auto-categorize | ✕ Rule-based | ✕ Cannot allocate | ≈ Learns history | ✓ 44K codes semantic |
Tax self-correction Auto-redistribute across lines | ✕ | ✕ Tax rules only | ✕ | ✕ | ✓ Auto-corrects |
Cross-batch duplicate detection Memory across all history | ≈ Same-vendor | ✓ Upload-level | ✕ None | ✓ In-platform | ✓ All batches |
Unified intelligence layer Single system, all edge cases | ✕ Payments focus | ✕ Capture only | ✕ Data entry only | ✕ AP workflow | ✓ Full stack |
Learn how we evaluate real AP automation
Explore practical docs on OCR vs IDP, AP workflow constraints, and real-world platform evaluation criteria.