May 20, 2025 – Brilliance Technologies’ Voice AI Model Application Platform has officially obtained the Huawei Ascend Application Development Technical Certification. This achievement marks a significant milestone in Brilliance’s "AI + Finance" initiatives, enabling banks to accelerate their AI-driven transformation toward precision operations and sustainable high-quality growth. The platform helps financial institutions optimize efficiency and outcomes across key areas including resource allocation, business development, customer service, risk management, and operational execution. By leveraging advanced voice AI capabilities, Brilliance’s solution enhances intelligent outbound calls, agent assistance, personalized training, and marketing strategy recommendations—effectively supporting smarter customer interactions and data-driven decision-making. This certification underscores the platform’s compatibility, performance, and security within Huawei’s Ascend ecosystem, reinforcing Brilliance’s role as an innovative partner in the financial technology sector.

〡 Intelligent Voice AI Models Help Financial Institutions Forge a Sustainable Path to Precision Operations

Today, intelligent outbound calling has become a vital tool for financial institutions to manage customer relationships, deliver personalized services, and expand market influence. However, technical limitations often lead to inaccurate dialogue recognition, low personalization, and repetitive scripts, significantly impairing user experience and even triggering customer aversion to outbound calls. Transforming intrusive "blast calling" into a "thoughtful assistant" that truly understands customers remains a critical challenge in financial outbound operations.

As an innovation pioneer in the fintech sector, Brilliance Technologies has developed a versatile large model application platform tailored to core financial scenarios. Designed to support intelligent outbound calls, marketing content generation, agent assistance, knowledge management, and AI-powered training, the platform offers customizable and highly adaptive solutions aligned with specific client requirements. The voice AI model stands as a flagship application within this ecosystem, delivering advanced capabilities for financial institutions seeking to enhance customer engagement and operational efficiency.

Brilliance Technologies’ Intelligent Voice AI Model leverages large language model technology to enhance big data analysis, user profiling, emotion recognition, and personalized recommendations. Simultaneously, it significantly improves capabilities in speech recognition, natural language generation, semantic understanding, and sentiment analysis. This dual approach empowers remote banking centers to refine targeted marketing strategies, build next-generation agent assistance tools, and enable precision in proactive marketing and remote service operations. Ultimately, it supports sustained high-quality improvements in external service delivery.

Leveraging its extensive fintech expertise and proven technical capabilities, Brilliance Technologies has partnered with Huawei, a leader in intelligent ecosystems, to develop an innovative system that generates multi-turn dialogue nodes and context-aware scripts with a single click. This platform simulates customer intent, delivers emotionally intelligent semantic understanding, and provides precise knowledge recommendations based on user profiles, behavioral tags, and interaction history. The solution enables truly human-like outbound interactions, customized training programs, intelligent agent assistance, and hyper-personalized recommendations—driving a new standard for customer engagement in the financial industry.

〡 Comprehensive and Multi-Dimensional Intelligent Marketing Service

The human-like quality of outbound calls directly shapes customer experience. To accurately simulate customer intent, Brilliance Technologies adopts a two-pronged approach: historical dialogue data mining and cleansing, and large model training and application. Starting at the data layer, the company ensures high-quality inputs by eliminating duplicates and invalid entries. During training, emphasis is placed on enhancing dialogue fluency, naturalness, and adaptability. Through iterative parameter tuning and validation, the model consistently meets target performance metrics. A robust feedback mechanism—including manual adjustment, review, and testing—is also integrated to continuously improve analytical accuracy.

〡 Addressing Training Gaps with AI-Driven Solutions

Traditional employee training systems often rely on repetitive, one-dimensional content, failing to deliver multi-dimensional learning tailored to specific skill sets. The absence of individualized competency profiles further limits the ability to recommend personalized courses. Brilliance Technologies’ voice AI model effectively resolves these challenges. It generates customized training materials based on knowledge base resources and specific agent scenarios, rapidly improving both operational competence and real-world response capabilities. The platform also simulates authentic working environments for practical drills and supports personalized assessment mechanisms to ensure objective, fair, and development-focused evaluations. By analyzing each trainee’s unique characteristics and learning progress, the system intelligently recommends the most suitable course content—enhancing training outcomes and enabling truly intelligent management and development.

〡 Intelligent Agent Assistant: Enhancing Real-Time Customer Interaction

In practical deployment, the voice AI model serves as a powerful smart agent assistant. Leveraging customer profiles and behavioral tags, it generates diverse knowledge outputs—including text, flowcharts, images, and tables and updates them in real time. During customer conversations, it recommends relevant questions and responses to agents, and automatically generates tickets based on call content. For dialogue script generation, the system goes beyond automatically identifying conversation contexts and improving semantic understanding. It also supports document uploads for deep analysis, accurately recognizing specialized terms, action commands, and keywords—elevating the assistant’s professionalism and precision.

Furthermore, the voice AI model integrates a suite of advanced features, including remote account manager speech recommendation, large-scale intent recognition, manual outbound call mining with tailored dialogue suggestions, and AI-driven outbound strategy optimization. By deeply consolidating vast volumes of customer data, it enables highly comprehensive and personalized marketing content, contributing to continuous improvement in service quality.