invoice_processing · saas · workflow

Lano automates global payroll document processing with super.AI IDP, achieving 92%+ extraction accuracy

Lano's growing volume of international pay slips and invoices overwhelmed its in-house invoice automation (high error rates, constant maintenance overhead) and its fully manual pay slip processing (slow and error-prone across diverse international formats), eroding team morale and customer satisfaction.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer documents arrive
Steadily increasing volumes of customer pay slips and invoices arrive at Lano for processing.
Tools used
super.AI
Outcome

super.AI IDP fully automated Lano's document processing at 100% automation rate with 92%+ out-of-the-box extraction accuracy across 10+ languages and 50+ layouts, achieving a near-zero error rate and dramatically shorter process times while elevating customer satisfaction.

What failed first

Lano's in-house invoice automation carried high error rates and maintenance overhead that made it unsustainable, and several months of testing market alternatives revealed each was too limited in scope.

Results
Time saveddramatically shorter
Volumenear-zero error rate
Running sinceJune 2023
Source

https://super.ai/case-studies/lano

How we source this →

Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes, 5 dropped as unverifiable.
data extractionidpinvoicefailure mode describednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedprofessional servicessoftwareaccuracy improvementautomation ratecustomer satisfactionemployee productivityerror reductionvendor customer storyback office opsfinance opsinvoice processingdocument to recordextract classify route