
Invoice Processing
Your Single Source of Truth for all Invoices with Artificial Intelligence
Let the AI Agents extract Meta data, Data Enrichment, 3 way match, Posting to ERP

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INPO Invoice processing application Impact vs Industry Benchmarks
|
Process Step |
Before INPO (Manual / Semi-Manual) |
After INPO (With INPO) |
Industry Benchmark* |
|---|---|---|---|
|
Invoice Ingestion (shared drive / email) |
Manual download & upload; invoices scattered across emails and drives |
Automatic listener captures invoices from shared drives, email, SFTP in <5 mins |
Near real-time ingestion (<5 mins), error <1% |
|
Metadata Extraction (OCR, supplier, invoice#, totals, line items) |
Manual data entry or template OCR with high error rate |
95–100% centralized & digitized |
>90% (EY Legal Ops 2022) |
|
Missed Renewal / Expiry Rate |
~15–20% contracts renewed late or missed |
AI/ML-based metadata extraction with >95% accuracy on header fields, 85–95% line item accuracy |
Field-level accuracy: header >95%, line-items >90% |
|
Human in the Loop (HITL) |
100% invoices manually keyed/reviewed |
Only low-confidence or exception cases routed for review (<30%) |
Exception/manual touch rate <20%; best-in-class <10% |
|
Data Enrichment (Vendor, GL code, tax, duplicates) |
Manual lookup from ERP/vendor master |
Automatic enrichment with vendor master, GL suggestions, duplicate check, tax validation |
Auto-suggest accuracy >80%, duplicate detection >95% |
|
3-Way Match (PO, GRN, Invoice) |
Mostly manual, frequent mismatches, follow-up emails |
Automated match with tolerances; exceptions routed with reason codes |
3-way match success 60–80%; best-in-class 80–90% |
|
Posting to ERP |
Manual entry into ERP; risk of duplicates/errors |
Automated posting via API with audit trail and attachments |
Posting success >98%; best-in-class >99% |
|
Cycle Time (Invoice → Payment-ready) |
5–10 days |
1–3 days |
Best-in-class <2 days |
|
Straight-Through Processing (STP) |
10–40% |
50%+ (target 70%) |
70–80% |
|
Exception Rate |
20–45% |
10–20% |
<10% |
|
|
|
|
|
|
|
Limited to legal (~20–30 users) |
5x higher (legal, finance, procurement, sales) |
4–5x more adoption (Gartner 2023) |
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