Case Studies

Project Challenge

A large bank needed to deploy a new generation AI customer service system, but previous AI systems performed poorly in complex problem handling, emotional management, and compliance, resulting in high customer complaint rates.

Solution

We designed a comprehensive pre-service training program for the bank's AI customer service system:

• Personality Vector Injection: Shaping patient, friendly, and professional service personality traits
• Anti-burnout Reinforcement: Enhancing recognition and response capabilities to malicious complaints and inappropriate remarks
• Industry-specific Training: Deep learning of banking business knowledge, compliance requirements, and professional terminology
• Practical Drills: Simulating various customer scenarios for comprehensive training

Project Results

The trained AI customer service system successfully passed strict banking compliance reviews, becoming an industry benchmark for AI customer service.

Project Challenge

A large hospital's AI diagnostic assistance system showed instability when handling complex cases, sometimes being overconfident, sometimes too conservative, affecting doctors' trust.

Solution

We conducted a comprehensive cognitive stability assessment and personality trait analysis for the AI system:

• Cognitive Stability Assessment: Identifying system performance patterns in uncertain situations
• Personality Trait Analysis: Discovering the system's high neuroticism, low conscientiousness trait combination
• Personality Injection and Reinforcement: Adjusting system personality traits to a more stable state
• Continuous Monitoring Mechanism: Establishing stability monitoring and early warning systems

Project Results

The optimized AI system gained high recognition from the medical team, becoming an important auxiliary tool for clinical decision-making.

Project Challenge

An online education platform wanted to design personalized AI teaching assistants for its learning management system, but the existing system lacked targeting and couldn't effectively stimulate student learning interest.

Solution

We designed personalized AI teaching assistants for the platform based on the Big Five personality theory:

• Personality Modeling: Designing AI personality with high agreeableness and high openness based on educational scenario needs
• Behavior Design: Creating encouraging and inspiring interaction patterns
• Personalized Adaptation: Adjusting interaction styles based on different age group student characteristics
• Effect Evaluation: Establishing learning effectiveness and user satisfaction evaluation systems

Project Results

Personalized AI teaching assistants significantly improved student learning experience and effectiveness, becoming the platform's core competitiveness.