2026/07/06

Vimic AI FinTech Solution: MDBS Drives Smart Customer Service & Digital Avatars

Vimic AI FinTech Solution: MDBS Drives Smart Customer Service & Digital Avatars
With the rapid development of generative AI, large language models, and cloud technologies, the financial industry is accelerating its exploration of AI integration across customer service, data processing, marketing applications, and internal operations.
At the “AI Innovation Strategy Forum,” Simon Chang, Chairman of MDBS Digital Technology, shared the MDBS x Google FinTech AI solution, Vimic AI. He introduced how MDBS integrates large language models, a rule-based architecture, and intelligent modules to help enterprises begin with low-risk, highly repetitive application scenarios, gradually implementing AI solutions such as smart customer service, digital avatars, heterogeneous data processing, content generation, and financial service interactions.

Rule-Based + Generative AI: Building More Governed Financial Service Applications

Financial services place a strong emphasis on accuracy, compliance, and information security. Therefore, AI adoption should not focus solely on automation; it must also ensure that response content is controllable, workflows are verifiable, and applications are scalable.

Vimic AI adopts a rule-based + generative AI application architecture, enabling AI to assist with standardized and repetitive Q&A and service processes, while complex scenarios or situations requiring higher-level judgment remain handled by human staff.

Through this design, enterprises can improve service efficiency while reducing risks during AI adoption, allowing them to gradually expand the scope of application according to different business needs.

Smart Customer Service and Digital Avatars: Enhancing Customer Interaction Experiences

In customer service scenarios, Vimic AI can help enterprises build smart customer service systems that support frequently asked questions, product information inquiries, service process explanations, and member interactions. By integrating AI with existing knowledge bases and service workflows, enterprises can provide more immediate, consistent, and scalable interaction experiences.

In addition to text-based customer service, Vimic AI can also be combined with voice and image generation technologies to develop digital avatars and digital identity applications. Enterprises can apply digital characters to product introductions, training programs, brand communications, and digital service scenarios, allowing financial services to move beyond text-only interactions and evolve into more approachable, interactive, and multimodal experiences.

Integrating into Daily Financial Workflows: Supporting Research, Marketing, Customer Service, and Operations

Vimic AI is not limited to being a standalone customer service tool; it can also be extended into the daily operational workflows of the financial and securities industries.

In research and data processing scenarios, it can assist in organizing external reports, financial documents, and market data, extracting key points, generating summaries, and comparing trends to improve the efficiency of information consolidation and content production.

In marketing and product applications, Vimic AI can transform complex information into easier-to-understand explanatory content, supporting market summaries, product introductions, member communications, and marketing material generation, thereby enhancing the speed and quality of financial content production and communication.

Combining Google Technology Resources to Drive the Implementation of Enterprise AI Solutions

Based on the technology resources provided by Google, MDBS continues to develop FinTech AI application solutions, helping enterprises introduce generative AI into real-world operational scenarios.

As AI technology continues to evolve rapidly, the competitiveness of the financial industry will no longer come only from products and services themselves, but also from whether enterprises can effectively leverage AI to enhance customer interactions, data processing, content production, and operational efficiency.

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