The demand for personalized financial advice is on the rise, yet ensuring trustworthy and compliant insights remains a challenge. Shinhan Securities’ AI PB addresses this by providing proactive, tailored investment strategies. Unlike standard chatbots, AI PB generates user-specific recommendations by merging internal and external data while adhering to strict financial regulations. This advanced system utilizes a component-based orchestration layer to ensure data sensitivity, employing a hybrid retrieval pipeline for verifiable answers, which reduces hallucinations by 30%. Offering 22 daily insights for each user, AI PB leverages a three-layer hybrid recommender system, enhancing engagement by 18% and decreasing content repetition by 23%. With rigorous performance metrics—latencies under 13.9 seconds and high factuality scores—AI PB exemplifies a major breakthrough in trustworthy AI deployment in finance. Its transparent architecture supports compliance auditing, highlighting its potential for applications in regulated sectors like banking and healthcare. Continuous human oversight remains essential for evolving regulatory landscapes.
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