A risk control solution innovatively developed by leveraging Ping An Group's extensive experience in financial risk management practices, incorporating a variety of AI technologies such as computer vision, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and graph computing. It can perform real-time remote liveness detection, identity verification, and anti-fraud analysis like black background detection. This solution assists financial institutions in identifying and warning against risks such as team fraud and coercion in risk control scenarios like remote account opening, dual recording for insurance, and loan review.
Business Challenges
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Low manual efficiency
The number of users that can be served by manual operations is limited, making it difficult to manage during peak periods, and it is time-consuming and labor-intensive.
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Frequent attacks from black market operations
Traditional risk control is limited; single-point defenses fail, necessitating the construction of multi-dimensional risk control strategies with cross-verification.
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High regulatory requirements
Regulatory requirements are stringent, including the need to reproduce the business process, ensure data security and reliability, and conduct thorough checks of the business process.
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High integration costs
Multiple systems are repeatedly built, the reuse rate of existing modules is low, and integration costs are high.
A comprehensive video business risk control platform, refined through Ping An's extensive application experience and innovative risk control methods. It supports enterprises in independently configuring and quickly building scenario-based business modules, while simultaneously enabling risk warnings and compliance self-checks.
Product Strengths
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Flexible Compatibility
Supports plugin delivery, is compatible with existing systems, and flexibly supports process configuration. It enables automated face-to-face review configuration and dialogue configuration, assisting in business upgrades.
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Safe and Reliable
Based on Ping An's extensive experience in financial risk control and product refinement, it supports enterprises in independently configuring and building scenario-based business modules.
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Visual Risk Control
Integrates various AI technologies such as computer vision, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and graph computing to perform anti-fraud analyses, including liveness detection and identity verification.
Customer Cases
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AI Digital Human Face-to-Face Review Project for a Leading Auto Finance Company
Since the project launched:
1. Automated approval rate: over 75%.
2. Over 1.2 billion in loans approved through AI digital human automated review.
3. Saved 1.8 million in manpower costs for customer service.
4. Prevented over 1 million in credit fraud.
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Intelligent Face-to-Face Review Project for a Leading Credit Company
1. Covers over 300 customer service agents.
2. Hundreds of attacks intercepted annually based on black background and voice-shape detection.
3. Effectively reduced losses by tens of millions per year.
4. Reduced customer complaint rate by 71%.
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Intelligent Face-to-Face Review Project for a Leading Bank
1. Intelligent face-to-face reviews account for over 70% of remote reviews.
2. Saved approximately 10 million in manpower costs per year.
3. Performance increased by 10%.
4. Annual loan issuance increased by over 50 billion.
- Solution Overview
- Business Challenges
- Product Solutions
- Product Strengths
- Customer Cases
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