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Not your average chatbot

Conversational AI

Chatbots and virtual assistants are very helpful for automating some types of customer communications. But how is the average chatbot different from its more evolved cousin, conversational AI? Book a product tour of Dialpad's Ai Virtual Assistant to learn more!

Screenshot of Dialpad's conversational AI platform answering a customer question in real time using AI

What is conversational AI?

Conversational AI (artificial intelligence) uses natural language processing (NLP) and machine learning to essentially simulate natural-sounding conversations with computer programs.

Instead of having a rigid set of standard answers that responds to preset questions or inputs (like traditional chatbots), conversational AI can provide more varied, context-dependent responses.

Dialpad Ai Contact Centre, for example, has a conversational AI feature (along with other unique AI solutions) that optimizes workflows for your agents, since it can handle most basic, straightforward questions from customers.

How does conversational AI work in Dialpad Ai Contact Centre?

Chatbots used to "talk to" customers by essentially matching preset answers to preset yes/no or multiple choice questions.

Today, conversational AI takes things a step further. Here's what Dialpad Ai can do, for instance:

  • Search databases and FAQ pages for answers to customer questions.

  • Search

    unstructured

    sources of data, like PDF documents and past customer conversations—almost no other options on the market can do this!

  • Create intricate dialogues on your website, and even integrate rich media and video content.

  • Let you build automations and workflows in minutes—no coding needed.

  • And a lot more...

🤖 For example:

If a customer has a tough question about something that has never been covered on your company's FAQ page, but another customer has asked a similar question before, Dialpad can show an agent that past transcript to help them! Not only does conversational AI empower your human agents and customer support teams, it also improves customer satisfaction and creates a better customer experience overall, especially when complemented by other self-service options and automations.

More than just a conversational AI platform

So, how does Dialpad’s deep learning and AI technology make its contact centre platform one of the best out there? Here are a few examples of what you can do with it.

Easy no-code setup

Incorporating things like text-to-speech algorithms into workflows doesn’t require as much specialist knowledge as you might imagine. With Dialpad, you can easily set up virtual agents and deploy a conversational AI solution just by dragging and dropping. You get an intuitive user experience without a super-complicated conversational AI system for developers.

Screenshot of chatbot flow in Dialpad self service

Real-time transcription

With Dialpad's AI-powered natural language understanding, it can transcribe your voice conversations in real time. No more trawling through hours of recorded conversations trying to find that one thing someone said.

Screenshot of Dialpad Ai transcribing a phone call in real time

Live sentiment analysis

Dialpad can also do sentiment analysis—again, in real time. This way, supervisors who are overseeing multiple agents on active calls can quickly see if a call is going south, open up the live transcript to get more context, and then decide if they need to jump in to help the agent.

Screenshot of Dialpad Ai analyzing the sentiment of multiple calls in real time

Real-time agent assists

Even the best conversational AI platforms don't always have this, but real-time assists (aka. screen pops) are an important component in conversational AI contact centre technology. With Dialpad, managers can create RTA (Real-Time Assist) cards with tailored notes on specific topics and set them to pop up automatically on agents’ screens when certain trigger words or phrases are spoken.

Screenshot of Dialpad's real time assist card feature popping up helpful notes for an agent or rep when a tricky question comes up on a call.

Omnichannel communications

Besides conversational AI functionality, Dialpad Ai Contact Centre also lets agents and supervisors provide a full omnichannel experience, from a single pane of glass. Manage the AI chatbot straight to a website, send an instant or SMS message, and even handle social media messaging on platforms like Facebook Messenger and WhatsApp.

Screenshot of social media, digital, and voice channels being handled by an agent in Dialpad's omnichannel contact centre platform.

Custom call routing

Some conversational AI tools have robust routing features that help optimize call flows through things like interactive voice response (IVR) menus. With Dialpad, you can route incoming calls to the agent who's been idle the longest, by skill level, and more. Plus, the chatbot or conversational AI feature also lets your customers escalate the call, meaning they can easily route themselves to a human agent through a voice or video call if they decide that they're not getting what they need from conversational AI.

Screenshot of Dialpad's custom call routing options

Enterprise-grade security

A good conversational AI platform provider should be secure. After all, it's handling conversations and may take down information from your customers, not to mention some industries have specific compliance requirements. Dialpad helps you stay compliant with these and more, has in-meeting security controls, lets you set up custom data retention policies, and also has robust encryption standards.

Screenshot of locking a video conference in Dialpad using the built-in security controls

Looking for a conversational AI tool?

Why not try a contact centre provider that has it built right in? Book a demo to see how it works, or take a self-guided interactive tour of the app on your own first!

Examples of industry use cases for conversational AI

There are many examples of conversational AI use cases in different industries. Let’s look at a few ways it’s being used in healthcare, retail, HR, finance, and banking.

Conversational AI in healthcare

Conversational AI in healthcare can be used for a range of diagnostic, screening, and health management purposes.

Important conversational AI healthcare tools include symptom-reporting programs and intelligent appointment scheduling apps. These lessen the burden on healthcare providers by making sure patients see the right specialists and doctors aren’t overloaded with appointments that could've been resolved over a quick call or message.

Conversational AI in retail

In terms of retail, AI-powered virtual agents are great for providing support and guidance throughout the customer journey.

Not only can intelligent chatbots optimize your sales funnels by offering general information and promos or discounts, they can also reduce the volume of work for human agents by dealing with routine troubleshooting, after-sales support, and even customer surveying.

Conversational AI in HR

In very large global enterprises, there are a number of dedicated conversational AI recruiting and HR tools designed to help companies recruit, manage, and retain employees.

For HR departments looking to incorporate bots into their workflows, conversational AI chatbots can provide more efficient and engaging employee interactions and personalized conversational experiences.

When employees do need to contact HR, AI-enabled systems can empower HR team members by putting real-time, up-to-date information about policies, benefits, and more at their fingertips.

Conversational AI in finance and banking

When it comes to conversational AI for banks and other financial services providers, two key requirements are efficient (and effective) client service and a high level of security.

Thanks to natural language processing, virtual assistants can respond to bank account and other financial queries in seconds with personalized answers. This makes it possible for clients to receive an immediate and accurate resolution to routine requests such as canceling a lost or stolen credit card.

Considering how much conversational AI costs compared to expanding contact centre staff— and the fact AI works 24/7, in multiple languages, and across multiple channels—it’s able to massively increase the scope of an organization’s support operations for a relatively low cost.

The benefits of conversational AI tools for different customer interactions

When it comes to improving customer interactions, three conversational AI benefits in particular stand out.

It ensures everyone’s needs are attended to—without overextending your team

While conversational AI can’t (and shouldn't) replace a customer service team and a good quality assurance program, it can help human agents do more work, more efficiently. Think of the suite of Dialpad conversation intelligence tools as a kind of conversational AI assistant that augments and enhances—rather than outright replaces—human agents.

Ideally, you'd use conversational AI and other automations to take simple requests and questions off your human agents' plates, and give them time back to focus on fewer inquiries that actually require a person to be involved.

It lets you provide 24/7 customer support

Because chatbots and AI-powered web chat tools run 24 hours a day, seven days a week, customers can always get help with their questions, even if your contact centre is closed and your staff are all at home tucked up in their beds.

Conversational AI ecommerce solutions in particular have been popular because of the repetitive nature of the inquiries from these customers (like questions about purchases, refund or exchange policies, troubleshooting, and so on). To be fair though, any business or organization in any industry that interacts with an audience online regularly can benefit from conversational AI.

It lets you cover more languages

Do you work in an organization that does most of its internal communications in English but has an international, multilingual customer base? If so, you're probably already familiar with the challenges language barriers that can get between customers and your customer support team.

The good news is, chatbots and other AI conversational technology can speak multiple languages. Dialpad's IVR menu, for instance, can cover English, Spanish, French, Japanese, German, and more. This means customers who speak different languages are still able to navigate your IVR paths—without you needing to hire a translator or a ton of new team members who speak each of those languages.

How can a conversational AI platform improve your customer journeys?

There is a wide, wide range of conversational AI tools out there that all do slightly different things. In fact, according to Gartner, the conversational AI platform market currently constitutes an estimated 2,000 vendors worldwide.

We can help you narrow that search down a bit! If you're looking for an intuitive, easy-to-set-up conversational AI platform that you can integrate into your business processes quickly, why not check out Dialpad Ai Contact Centre?

Not only do you get a fully integrated communications solution that lets you access telephony, instant + SMS messaging, video meetings, and contact centre functionality—in a single interface—Dialpad's conversational AI is also a leader in the space, with its machine learning model having analyzed over three billion minutes of conversations.

Want to provide a better customer experience with conversational AI?

Book a product tour to see how easy it is to build chat workflows with the drag-and-drop tool in Dialpad Ai Contact Centre!

Conversational AI FAQs