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.
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.
Nanonets' on-premises AI solution enabled compliant automated identity verification, simplified the onboarding process, and allowed the client to launch and offer their product.
Frequently asked questions
What did this team achieve with this AI workflow?
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 tools did this team use?
Nanonets, OCR, PT Sai.
What results were reported?
Manual document processing time (baseline): ~3 minutes per document manually; Customer retention impact from slow verification: losing customers; Identity verification automation: automating identity verification effectively (source-reported, not independently verified).
What failed first in this deployment?
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.
How is this kyc aml AI workflow structured?
User uploads physical ID photo → AI identifies and extracts ID data → On-premises compliance integration → Onboarding process completed.