Peter Chang
21 November 2024 at 15:22
Learn how AI agents are transforming customer service by automating routine tasks, allowing human agents to focus on complex issues, and boosting customer satisfaction.
AI agents are increasingly being used as virtual assistants in customer service, helping companies manage large volumes of orders efficiently. By automating routine tasks, these AI systems allow human agents to focus on more personalized and complex customer interactions, according to Business Insider. Nvidia.
How AI agents enhance customer service
AI-powered solutions significantly enhance customer service efficiency by addressing common queries and repetitive tasks. This enables support teams to prioritize more complex cases, especially during periods of high demand. These AI agents not only increase operational efficiency, but also enhance customer satisfaction by providing faster and more personalized interactions.
AI agents are designed to handle predictive and problem-solving tasks, with capabilities to understand industry-specific terminology and access relevant data from organizational knowledge bases. This shift is evident across industries, with AI tools such as chatbots now becoming standard to enhance customer interactions and maintain high accuracy rates.
Artificial intelligence agents serve customers across industries
AI agents are revolutionizing customer service across multiple sectors. For example, ServiceNow introduced AI agents to IT management and customer service to autonomously solve many employee and customer issues, boosting productivity. In healthcare, The Ottawa Hospital is using AI agents to improve patient care by providing accurate and continuous access to information, thus reducing administrative burdens on medical staff.
Likewise, the city of Amarillo, Texas, uses a multilingual digital assistant called Emma to provide 24/7 support to residents, ensuring effective communication even for non-English speakers. These examples highlight how AI agents can meet today's service requirements while preparing organizations for future challenges.
Basic steps for designing AI-powered virtual assistants for customer support
Designing effective AI agents involves several key steps, including collecting and organizing customer data, using memory functions for personal interactions, and developing a pipeline of processes to continuously improve AI responses based on feedback. These elements ensure that AI agents not only meet current needs, but also evolve with changing business goals.
Run AI agents using NVIDIA NIM microservices
NVIDIA's NIM microservices are pivotal to powering AI agents, enabling natural language processing, context retrieval, and multilingual communication. This technology ensures that AI agents provide fast, personalized and accurate support tailored to diverse customer needs.
Key microservices include NVIDIA NIM for large language models, which allows AI agents to understand complex queries, and NVIDIA NeMo Retriever NIM, which enhances retrieval performance by accessing and classifying relevant knowledge base articles. Additionally, NVIDIA NIM for Digital Humans enables the creation of intelligent, interactive avatars that can communicate naturally with users.
Getting started with AI agents for customer service
Organizations looking to implement AI agents can take advantage of NVIDIA AI Blueprints, which provide ready-made workflows and tools to make it easier to deploy virtual assistants. Whether you're aiming to develop simple chatbots or fully animated digital human interfaces, these resources help create scalable, brand-aligned AI solutions that deliver effective customer support experiences.
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