AI eKYC Solution for Philippines Digital Finance

    • AI & Machine Learning, BFSI

AI & Machine LearningBFSI

Intelligent eKYC & Fraud Prevention for a Philippines Digital Finance Provider

  • 60%+Reduction in manual verification workload
  • 50%+Reduction in onboarding time

Project Overview

Savvycom partnered with a digital finance company in the Philippines to transform its customer onboarding process. As demand increased, manual identity verification became a major constraint, slowing customer activation and elevating fraud risks. Savvycom delivered an AI powered eKYC platform that automates document recognition, face matching, and liveness detection, enabling faster, more accurate, and scalable identity verification.

Customer opening a digital finance account on her smartphone in a cafe

About The Client

The client is a digital first financial services provider offering online loan applications and account registration. With rapidly growing customer volumes, they required a scalable verification solution to reduce manual effort, enhance fraud prevention, and deliver a seamless onboarding experience.

IndustriesBFSI
ServicesAI & Machine Learning

Challenges

Manual identity verification created processing backlogs that could not keep pace with growth. At the same time, inconsistent document quality and increasingly sophisticated fraud attempts such as fake identities and spoofing further reduced efficiency and limited scalability.

Back-office staff manually comparing identity cards with paper application forms

Solutions

Savvycom designed and deployed an end to end AI powered eKYC platform. The solution integrates Document AI for automated identity data extraction, Computer Vision for real time face matching and liveness detection, and an intelligent exception workflow that routes only flagged cases to human review. The platform is built to handle high volumes reliably across diverse document formats and varying input conditions.

Smartphone running a face verification check next to an identity card

Results

Manual verification workload was reduced by more than 60% while onboarding processing time decreased by over 50%. Verification accuracy improved significantly, fraud detection was strengthened, and the system scaled efficiently without increasing operational headcount.

Technical Overview

AI Stacks: Deep Learning, YOLOv8, OCR, Embedding

Tools & Infra: Python, OpenCV, PostgreSQL, MinIO, REST APIs, Docker

Cloud Platform: Hybrid (AWS)

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