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Voice technology: Making Conversational AI even better

What customers want most today is a choice between conversational alternatives

Jessica Raggio

March 21, 20227 minutes

voice technology schematic

Over the past couple of years, we’ve seen massive growth in digital engagement. From web messaging to text to speech to social media to email, consumers have shifted, though sometimes begrudgingly, more and more of their interactions with brands to digital channels. By the end of 2021, our LivePerson customer engagement preferences survey showed that a whopping 85% of consumers want the ability to message with brands.

So, is the traditional phone call with a human representative a thing of the past? Not by a long shot. Research from Contact Babel indicates that, while call volumes have slightly declined, 63% of inbound contact center interactions are still done over the phone with a live agent.

In reality, the shift to digital showed us that what consumers really want is choice. Some want to message, but others want to use good old voice technology and hear human voices. Not to mention those who go back and forth between the two.


Voice technology vs. messaging, that is the question

While preferences for voice tech or text-based engagements may often vary by generation, other important factors impact the decision to call or message, like the complexity of the need, the value or potential ramifications, or the sensitivity of the scenario. In fact, 40% of customers are more likely to want to talk to a real person on the phone to resolve a more complicated issue, like a payment dispute (American Express). 

Even for consumers who consistently gravitate to messaging above all else, there are times when they just need to pick up the phone.

To stay competitive, brands need to give customers the choice they’re looking for by supporting engagement options across various digital channels, in addition to voice. And it’s not as simple as just having a presence in those channels.


Whatever you do, make the consumer experience seamless

older woman using voice tech

Consumers don’t care what’s happening behind the scenes of a conversation. It doesn’t matter to them if your systems work well together or not. They want a seamless and easy experience that feels personal to their needs. They expect that each agent or automated digital assistant has the context of all the information they’ve shared or questions they’ve asked already, so they don’t have to repeat themselves over and over again. Beyond that, they want to know that your brand values their time, getting to resolutions quickly so they can get back to their busy lives. 

Every interaction needs to be exceptional, whether on the phone or in a message, automated or human. If it isn’t, consumers will seek out alternatives and leave, directly impacting revenue generation. In fact, a study by PWC showed that 32% of customers would stop doing business with a brand they loved after just one bad experience.


4 ways to unify voice technology, messaging, and Conversational AI

Here are some ways you can set your brand up to create incredible, Curiously Human™ conversations across every channel.

1. Ensure you capture audience insights from every interaction, especially voice technologies. 

Gaining insight into common questions, issues, inquiry topics, and trends creates several opportunities to improve experience. It may be easier to lean on the data that is only collected from digital conversations, but with so many engagements still happening on the phone, don’t forget to pull in voice analytics, too. Brands must get a full view of what their customers are saying in order to truly optimize interactions. 

2. Break down data silos in voice technology and across your organization

Your customers don’t segment their customer experience by your brand’s different departments. To a consumer, your brand is your brand. Every engagement across their entire customer journey, from discovery and consideration to support and re-engagement, makes up their relationship with your brand. When data and insights from all of those conversations are accessible and easily digestible across departments, the whole company benefits. All conversational intelligence, including voice analytics, can inform future interactions with better personalization, faster and more effective support, and improved customer experience, ultimately increasing business results. 

3. Automate for efficient, streamlined interactions across voice technology, messaging, and all channels 

Gathering and sharing insights from every conversation will also surface opportunities to improve natural language processing and reduce friction that can inhibit agent productivity and create a poorer customer experience. With a full view of the voice of the customer, you can continuously optimize and automate common, low-complexity inquiries with AI-powered digital assistants, while quickly getting consumers with high-touch needs to the best qualified human agent. You can also be able to arm agents with more approved responses at their fingertips to quickly address complex issues. In other words, you will reduce the time it takes for automated digital assistants and agents to understand and resolve an individual consumer’s need, no matter the method of communication.

4. Set agents up for success by ensuring your backend systems work together 

While digital transformation may take time to achieve within an organization, your tech stack doesn’t have to define how consumers engage with your brand. Look for ways to connect your systems of engagement, both legacy and cloud, with your conversational and voice analytics. By giving agents a unified view of each consumer in a single pane of glass and delivering relevant context and automation in the moment of interaction, you will empower your brand representatives to build better relationships and create efficient, personalized experiences at scale.


The expectation for personalized and flexible consumer engagement is at an all-time high, which brings with it significant opportunities for brands alongside some big challenges. Integrating your messaging and voice technologies and analytics is a powerful step toward meeting those expectations. Once you get that full, unified view of the voice of the customer, it’s much easier to create the best possible experience with every conversation.

After all, at LivePerson, we believe in delivering incredible customer experiences through the power of AI and automation not just built in the lab, but created in the contact center, marketing department, or sales floor where the engagements actually happen.


Voice AI FAQs

AI voice technology, which includes AI voice generators and natural AI voices, offers a number of benefits for customer service:

Increased efficiency: These AI models can automate simple tasks, such as answering frequently asked questions (FAQs), freeing up human agents for more complex issues.

Improved accessibility: AI voice technology makes customer service more accessible to people with disabilities or who prefer using voice commands (natural human speech).

24/7 availability: AI-powered virtual assistants can provide customer service around the clock.

Personalization options: An AI voice generator may allow you to adjust voice outputs effortlessly (e.g., pitch, speed) and even create natural-sounding voices that might resemble your brand.

While an AI voice generator offers many advantages, there are still some challenges to consider:

Accuracy: AI voice recognition technology is not always perfect and may misunderstand a customer’s request.

Complexity: A voice AI model might struggle with complex customer issues that require nuanced understanding or creative problem-solving.

Emotional intelligence: Natural human speech can convey emotions that AI-generated voices may not be able to fully replicate.

Here are some tips for ensuring a positive customer experience with voice AI:

Make sure your AI voice technology is accurate and up-to-date: Use high-quality AI voice models and regularly train them with real customer data to improve accuracy.

Use voice technology for tasks suite to automation: This could include checking order status, scheduling appointments or providing basic troubleshooting steps.

Offer human support for complex issues: For situations requiring a more personal touch or complex problem-solving, provide the option to connect with a human agent. Train your agents on how to handle handoffs from voice AI to ensure a seamless transition.

These tips allow you to leverage the power of voice AI technology to enhance customer service, improve accessibility, and diversify your customer service offering.


Check out how our voice AI solutions can improve and unify your customer experience