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Why Call Centers Need Voice AI: A Human Touch with a Tech Twist

AI for Voice of customer

Written by Arti Chandegara

Voice of Customer

September 27, 2024

Managing calls without increasing costs or sacrificing service quality is best achieved through call center automation, specifically using an “AI call agent.” 

With the help of Natural Language Understanding and machine learning, this technology gives users the freedom to respond to prompts without being restricted by options, resulting in a more conversational and natural engagement. But not every call center automation solution is created equal.

Most of us have probably called customer service at some point, and when we did, we probably met an interactive voice response (IVR) system. You’ve probably sometimes observed this type of call center automation to be frustrating as it’s very basic and frequently outdated.

Customers want immediate, customized support in the modern age. However being necessary, traditional call centers frequently find it difficult to meet current needs. Voice AI is a game-changer that is changing the way companies communicate with their clients.

Market Growth:

According to Gartner, over 50% of organizations are considering or already using AI in their contact centers. The global market for conversational AI is expected to reach $40.5 billion by 2028, growing at a CAGR of 26.2% during 2023-2028, indicating a significant increase in adoption and growth potential for AI in call center automation. Resource

So, why does call center automation need Voice AI?

Round-the-Clock Support: Imagine never being put on hold again. Voice AI can handle calls 24/7, ensuring customers always have someone to talk to.

Personalized Experiences: Voice AI can learn your preferences, remember your name, and tailor conversations to your unique needs. It’s like having your own personal customer service assistant.

Faster Response Times: No more waiting on hold for hours. Voice AI can quickly understand your query and provide relevant answers, saving you time and frustration.

Reduced Errors: AI is less prone to mistakes than humans, ensuring accurate information and fewer misunderstandings.

Cost-Effective: Voice AI can handle a high volume of calls without the need for additional human agents, saving businesses money.

Improved Agent Efficiency: By automating routine tasks, Voice AI frees up agents to focus on more complex issues, providing better service to customers.

But isn’t Voice AI just a soulless robot?

Not at all. While AI handles the technical aspects, it’s designed to feel natural and human-like. It can understand and respond to your tone of voice, making the interaction feel more personal and engaging.

Benefits and Impact:

  • Improved customer satisfaction: 

PwC reports that 75% of customers are satisfied with AI-powered customer service interactions, highlighting the positive impact of AI on customer satisfaction.

  • Reduced operational costs:

Forrester research indicates that businesses can save up to 30% on operational costs by implementing AI in their call centers, demonstrating the significant financial benefits of AI adoption. Resource

  • Increased agent efficiency: 

McKinsey’s findings reveal that AI can handle routine tasks, freeing up agents to focus on more complex issues, leading to a 20-30% increase in productivity, showcasing the efficiency gains that AI can bring to call center operations.

  • Reduced customer churn: 

IBM reports that companies using AI-powered customer service have experienced a 15% reduction in customer churn, demonstrating the positive impact of AI on customer retention.

Specific Use Cases:

  • Automated call routing: 

AI can accurately route calls to the appropriate agents based on customer queries, reducing transfer times and improving customer satisfaction.

  • Intelligent virtual assistants: 

AI-powered virtual assistants can handle a wide range of customer inquiries, providing instant responses and freeing up human agents for more complex tasks.

  • Sentiment analysis: 

AI can analyze customer conversations to identify sentiment and emotions, helping businesses to improve their products and services.

Challenges and Considerations:

  • Data quality: 

The accuracy and effectiveness of AI-powered call centers depend on the quality of the data used to train the models.

  • Privacy and security: 

Ensuring the privacy and security of customer data is a top priority when implementing AI in call centers.

  • Technical expertise: 

Implementing and maintaining AI-powered systems requires specialized technical expertise.

Ready to give Voice AI a try?

At Articence Inc, we specialize in AI-powered solutions that can transform your call center. Our technology can help you provide exceptional customer service, reduce costs, and stay ahead of the competition.

Contact us today to learn more about how Voice AI can benefit your business. Let’s create a future where customer service is efficient, personalized, and enjoyable for everyone.

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