What is Conversational AI?

Conversational AI is a combination of key voice technologies that enable digital voice assistants to understand natural human speech and respond in kind. This conversational AI definition reflects how modern conversational AI technology uses artificial intelligence to not only process human language, but to reason, take action, and complete tasks autonomously — also known as agentic. Where earlier voice interfaces relied on rigid command-and-control structures, today’s conversational voice assistants build on technologies like Automatic Speech Recognition (ASR), LLM-based understanding, and proprietary approaches such as Speech-to-Meaning® — combining them with agentic AI to complete tasks autonomously on behalf of the user.

These natural-sounding voice interfaces are also context-aware, allowing them to remember previous parts of the conversation and eliminating the need for users to repeat key information over and over, improving human interactions and understanding user intent. Modern conversational AI systems can draw on enterprise knowledge, business data, and external information sources to deliver accurate, relevant responses. Multilingual capabilities allow brands to deploy them for users across the globe.

Voice-enabled mobile apps, vehicles, websites, contact centers, kiosks, customer support centers, and phone ordering systems are already creating positive customer interactions and decreasing operational costs while improving customer satisfaction. Consumers are increasingly expecting fast, convenient, and hands-free interactions at home, over the phone, and in-store, and companies are realizing the benefits of reduced wait times, personalized voice experiences, and consistent brand experiences. For most brands, conversational technology has evolved from a nice-to-have to a necessary technology in order to meet customers’ demands and remain competitive.

While companies in many industries are implementing voice assistants and chatbots, not all of these voice user interfaces are based on conversational AI. Earlier generations of voice assistants relied on set scripts and limited content libraries, constraining them to narrow use cases. In contrast, modern conversational AI systems deliver more accurate, context-aware responses. 

In the future, consumers — and enterprises — will likely abandon these limited voice assistants in favor of a conversational AI tool with agentic capabilities to deliver fast, accurate responses to users. In fact, a recent report produced by CCW Digital and sponsored by SoundHound AI found that 58% of enterprise contact center leaders believe AI agents will fully resolve most interactions by 2030.

How does conversational AI work?

Conversational AI blends voice, generative AI, and agentic AI to create useful conversational interfaces that understand user input and deliver accurate, real-time responses.

At a high level, conversational AI technology enables systems to interpret intent and deliver responses that align with business goals and customer needs. For business leaders, this means implementing solutions that can automate complex processes while improving operational efficiency.

Modern systems rely on:

• Machine learning to continuously improve performance over time
• Agentic AI systems that interpret intent, take action, and complete tasks autonomously
• Conversational flow that guides interactions naturally across complex, multi-turn dialogues
• Maintaining context across previous interactions to eliminate repetition and improve outcomes

Understanding what conversational AI is in practice means seeing how these systems scale intelligent communication across digital channels.

Why is conversational AI so popular?

Conversational AI is popular because it enables scalable, always-on support while improving efficiency and aligning with evolving customer expectations.

Organizations are adopting conversational AI to handle high volumes of customer queries, streamline customer journeys, and automate routine tasks without sacrificing response quality. As expectations rise, businesses are turning to AI to deliver faster, more consistent service.

What is an example of conversational AI?

Examples of conversational AI include virtual assistants, AI-powered customer service agents, and automated systems that handle real-time customer interactions.

For example:

• Retail platforms use AI to support the shopping journey with guided recommendations
• Contact centers deploy systems that integrate with CRM systems to manage interactions
• Enterprise tools automate workflows across the IT service desk

These applications show how businesses use AI to manage interactions at scale.

Benefits and limitations of conversational AI

Conversational AI improves efficiency and scalability but may require additional systems to handle complexity and edge cases effectively.

Benefits:

• Increases operational efficiency across teams
• Supports scalable, consistent customer interactions
• Enhances decision-making using customer data

Limitations:

• Doesn’t yet match human empathy
• Requires thoughtful implementation to perform well in specialized industries
• Benefits from integration with existing business tools and data systems to unlock its full potential

To overcome these challenges, organizations are combining conversational AI with agentic systems to improve adaptability and better reflect the full conversational AI meaning in real-world applications.

Conversational AI use cases

Conversational voice assistants are already breaking down the barriers between humans and machines in a few industries — replacing the robotic voice user interfaces of the past. We’ll take a deeper dive into the shift to conversational AI and the benefits of conversational AI for users and brands in four key markets:

• Banking
• Customer service
• Retail
• Fast-casual restaurants

Banking is branching out into conversational AI

As institutions built on customer service, banks and financial institutions have adopted conversational voice assistants for their voice-enabled mobile apps and contact centers. These service-oriented organizations are continuing to look for more ways to creatively use conversational AI to enhance, innovate, and improve their customer service strategies.

Conversational AI is the future of banking, with voice-enabled mobile apps creating a superior customer experience through faster search and easier transactions, all hands-free. With the help of a voice assistant, tasks, such as looking up a routing number, transferring money, and paying bills, can be performed in seconds, giving back valuable time to the user and making it as natural as interacting with a human bank teller. These interactions are made more human and personalized when the voice assistant can understand natural language and not rely on a set menu of queries and responses.

Many of the calls to banking contact centers are routine, such as checking a balance, paying a bill, ordering checks, activating a debit or credit card, and transferring money. These tasks can be easily addressed with a voice AI solution, freeing up customer service agents to address questions that require human expertise. Conversational AI for banks also reduces customer frustration and wait times by avoiding lengthy, complex menus and being able to address questions quickly, accurately, and naturally.

Customer service is calling for conversational AI

Customer service contact centers have long relied on IVR systems that, while functional, presented limitations in handling natural language and complex customer needs. IVR limitations are only one of many call center challenges, which include timely responses to common questions and routine transactions, long hold times for issue resolution, the need to transfer callers to other agents, and timely record-keeping. These obstacles continue to plague contact centers and prevent them from meeting their goal of providing superior customer experiences. So what is conversational AI’s benefit here?

The pandemic added long wait times to the list of challenges faced by contact centers, and conversational AI has helped with increased call volume and other concerns. Conversational voice assistants in call centers alleviate the friction and frustration felt by most customers by answering common queries and dealing with routine transactions, decreasing wait time and alleviating pressure on call center agents.

Instead of a complex menu, customers are simply greeted with a “How may I help you today?”, where they can then respond conversationally and naturally. 

Telecom uses voice assistants in contact centers for a variety of reasons, including:

• Personalized experiences
• Natural interactions
• Reduced operational costs
• Enhanced security
• Omnichannel experiences

Rather than asking callers to repeat identifying information through the call, voice assistants and AI agents can make interactions more personal and efficient by recognizing the caller’s phone number and associating it with the name and profile on record. Through advancements in speech technology, voice AI agents can understand complex queries and compound questions, providing a superior customer experience.

Conversational voice AI can also decrease wait times and increase resolution rates by handling queries that don’t require a human operator, allowing contact center employees to spend their time on calls that require human ingenuity. By incorporating voice assistants across channels, telecom companies will be able to achieve the consistent brand experiences they seek.

Retail is buying into voice AI

Customers looking for faster, more convenient, and personalized shopping experiences are already using voice-enabled mobile apps and websites to complete their retail transactions. This begs the question: What is conversational AI’s role in modern retail?

Businesses in the retail space are adopting conversational AI to provide greater choice and filtering capabilities in the competitive e-commerce space and are looking for ways to include voice-enabled kiosks and other voice experiences for better in-store convenience and efficiency.

Mastercard’s voice-first experience for retail is a great example of conversational AI for retail. The “Shop Anywhere” voice solution allows for personalized shopping experiences, no wait or checkout lines, secure payments, and access to stores outside normal operating hours. 

Voice-enabling kiosks are a natural evolution for many in the retail industry who are already using interactive kiosks for a variety of customer service purposes, such as price checking. With voice-enabled kiosks, customers can get their questions answered anytime without having to hunt for a sales associate, stand in long lines, or wait while the correct person is located to get the answers to otherwise simple questions. 

Voice-enabled mobile apps and websites are natural additions to e-commerce experiences, affording customers faster, more accurate search, superior filtering functionalities, and exceptional customer service. Voice search allows customers to more easily find the exact product they’re looking for without getting lost in a sea of unrelated suggestions and buried products. Available 24/7, voice-enabled customer centers on websites deliver real-time responses and the convenience for customers to get the answers they need and make purchases anytime and anywhere.

Fast-casual restaurants are serving up voice assistants

Fast-casual restaurants use conversational AI in voice-enabled kiosks and also through phone ordering services. The reasons why QSRs use conversational AI include:

• Conversational interfaces
• Personalized voice experiences
• Faster, more convenient customer service
• More accurate ordering
• Reduced operational costs
• Increased sales through upselling
• Consistent brand experiences 

Voice-enabled kiosks for QSRs began to grow in popularity in the early 2000s and are now the norm for many fast-casual restaurants. They eliminate long lines, increase hygiene, and offer fast, accurate, and convenient ordering experiences.

Using voice-enabled kiosks, customers no longer need to navigate complex menus and can simply ask for what they want by speaking naturally. In addition, voice-enabled kiosks take the burden off of employees and free them up for more important tasks, such as ensuring that each meal adheres to the brand’s quality standards. 

With conversational AI for phone ordering, customers’ phone calls are answered promptly and recorded accurately, which reduces customer frustration and operational inefficiencies. A conversational voice assistant also allows customers to ask for what they want by speaking as they would to another human — even without knowing exactly what items are called or where to find them in a menu.

The future of conversational AI

The future of conversational AI will be defined by more adaptive, context-aware systems that can understand complex intent and deliver increasingly human-like, personalized interactions at scale.

As conversational artificial intelligence continues to evolve, businesses are moving beyond basic automation toward systems that can resemble human conversation and dynamically respond to changing user needs. Advances in, and adoption of, agentic AI is enabling more flexible responses, while new capabilities are expanding how systems handle open-ended dialogue and nuanced requests.

Looking ahead, organizations will focus on the capabilities that support deeper personalization across the entire customer journey. This includes systems that can understand human speech, adapt to context in real time, and deliver consistent experiences across channels. As businesses continue implementing conversational AI with agentic, they will increasingly rely on integrated platforms that connect data, workflows, and automation across departments.

At the same time, the future will be shaped by applications that go beyond customer service to support internal operations, sales, and support teams. By automating complex processes and improving responses, these systems will help businesses scale while maintaining meaningful, efficient interactions. Many organizations are already exploring approaches that combine structured workflows with flexible AI-generated responses to better align with real-world needs.

Get started with SoundHound AI

We help businesses turn conversational AI into a scalable, real-world solution that improves efficiency, enhances customer experiences, and drives measurable results.

At SoundHound, we provide the tools and expertise needed to build and deploy advanced conversational solutions tailored to your industry. Whether you are looking to improve customer interactions, streamline operations, or explore the next generation of AI-powered experiences, we can help you move from strategy to execution with confidence.

Ready to see how conversational AI can support your business? Get in touch with our team to explore our offerings.