Customer service has come a long way from waiting on hold in a call for a human representative up to interacting with AI-powered assistants that provide instant responses. These days, most businesses make use of technology to manage customer interactions in a far more efficient manner. While chatbots and scripted responses were once the standard means, Generative AI and Voice AI are now reshaping the way companies communicate with their customers.
Now, traditional AI systems could only follow a set of instructions, but Generative AI allows AI-powered agents to work with and make use of NLP, analysis of sentiment and contextual memory in order to process the customer inputs in real time with proper accuracy thereby enabling personalized interactions. When combined with Voice AI, it results in a smooth flowing and natural conversation experience. Companies are moving towards AI Customer Service solutions that feel more human-like thereby reducing wait times and improving customer satisfaction.
Generative AI is a subpart of artificial intelligence that takes advantage of deep learning models, such as transformer-based neural networks and creates text, speech, and images based on its analysis of vast datasets. It also allows chatbots and virtual assistants to engage in fluid, human-like conversations, adapting their responses to user inputs by constructing natural responses in real-time based on context, intent, and past interactions. So in contrast to rule-based AI that depends on replies that are scripted, Generative AI helps in making interactions engaging and efficient on a much deeper level.
Most AI-driven customer support solutions today rely on Generative AI to automate responses. While this improves efficiency, it often lacks the depth and adaptability needed for real-time, human-like interactions.
Kiksy moves beyond traditional Generative AI by integrating Humanized AI, which combines Voice AI, Agentic AI, and LLM-based real-time learning. Unlike basic chatbots, Kiksy provides:
AI Customer Service helps businesses provide 24x7 support, manage high call volumes, and reduce the costs of operations. AI-powered systems handle inquiries very efficiently thereby improving accuracy of response and reducing the dependency on human agents. Therefore, this shift allows businesses to focus on complex customer issues that truly require the contribution of human expertise.
Voice AI converts speech to text and generates spoken responses. It allows virtual assistants to interact with customers naturally, supporting multilingual conversations and real-time assistance. Businesses use Voice AI to handle support queries, reducing response times and increasing accessibility for global customers.
But nowadays with the possibility of integrating Generative AI, Voice AI has become more adaptive thus allowing for more natural and personalized interactions. So unlike traditional automated call systems, AI-driven voice technology can detect user sentiment, adjust tone, and recall past interactions thereby creating a more meaningful conversation.
The shift towards Generative AI and Voice AI in AI Customer Service is expanding rapidly. Reports suggest that Voice AI usage is expected to grow at a 29.6% CAGR from 2024 to 2030, highlighting its increasing role in customer support.
With companies investing in AI-driven solutions, the future of customer interactions is shifting towards real-time voice-based assistance. Businesses that integrate Generative AI and Voice AI into their customer support systems will improve efficiency while offering seamless experiences for users worldwide.
Chief Executive Officer
Kavita has been adept at execution across start-ups since 2004. At KiKsAR Technologies, focusing on creating real life like shopping experiences for apparel and wearable accessories using AI, AR and 3D modeling