kyc_aml · saas · workflow
Indonesian digital signature provider automates KYC identity verification on-premises with Nanonets AI
The client needed to verify citizen IDs for every new user to meet KYC compliance standards, but processing photos of physical IDs with traditional OCR was unreliable—taking approximately 3 minutes per document manually—causing slow turnaround and customer loss. Privacy requirements also mandated an on-premises deployment.
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 · User uploads physical ID photo
Users upload a photo of their physical ID for KYC requirements.
Tools used
NanonetsOCR
Outcome
Nanonets' on-premises AI solution enabled compliant automated identity verification, simplified the onboarding process, and allowed the client to launch and offer their product.
What failed first
Traditional OCR tools could not separate the ID from junk data in the background of uploaded photos, resulting in low accuracy and requiring manual reprocessing of documents.
Results
Time saved~3 minutes per document manually
Grounding & classification
Source type: vendor customer story
22 fields verified against source quotes.
data extractiondocument classificationidpocrid documentfailure mode describedmetric backednamed customertools describedvendor confirmedworkflow describedsoftwareautomation ratecycle time reductionvendor customer storykyc amldocument to record