10 Best Conversational AI Examples in All Walks of Life

Conversational AI is a significant evolution transforming how we interact with technology. Powered by advanced technologies like natural language processing (NLP) and machine learning (ML), conversational AI can understand human intent and respond intelligently to user inquiries.

In the fast-changing digital world, it has been an essential tool for businesses looking to boost customer support automation. McKinsey reports 78% of companies have integrated it into at least one core operational area, and most of them have seen consistent returns and better efficiency.

To understand the impact of this technology, it is imperative to examine conversational AI examples across different industries. In this article, we will break down what conversational AI is, how it works, and highlight 10 real-life examples of conversational AI to demonstrate its versatility and commercial potential.

What Is Conversational AI and How Does It Work

Conversational AI refers to a suite of advanced tools that combine NLP, ML, and speech recognition to mimic human-like conversations. These tools, like AI chatbots and voice assistants, understand human intent or process voice inputs and generate relevant responses intelligently. Thanks to them, you can have a natural conversation with your machine, just like communication with a real person.

Unlike traditional rule-based chatbots, which follow pre-recorded scripts and struggle with handling unforeseen queries. Conversations AI focuses on building intelligent systems that can understand and respond to human language in a natural manner. It aims to bridge the gap between humans and machines by enabling natural language interactions.

So, how does it work? Here’s the entire process of how a conversational AI voice agent converts a human input into a meaningful response:

• Process human input: It captures human voice input and converts it into text using Automatic Speech Recognition (ASR).
• Understand human intent: Its natural language understanding (NLU) technology can analyze inputs and identify their actual intents.
• Trigger relevant tasks: Based on the understood intent and context, the agent determines corresponding actions and delivers them as text or voice.
• Refine machine learning: The agent also learns from every interaction to enhance intent recognition and response accuracy over time.

Key Features and Benefits of Conversational AI

The core features of most conversational AI tools include multilingual support, self-service options, omnichannel deployment, natural language processing, automatic problem-solving, and even sentiment analysis. These features are highly adaptable to business needs from various industries, from customer service and smart homes to IT support.

These standout features deliver a host of benefits that align with business goals, such as improving efficiency, reducing cost, and enhancing customer satisfaction. The key benefits are summarized in the following chart:

What are the Types of Conversational AI

In real-life use cases, conversation AI can be categorized into different types, and each is designed for specific needs and interaction modes. Below is an overview of the 5 key types.

1. AI Chatbot

AI chatbot is one of the most typical conversational AI tools. It’s a text-based conversational assistant that uses NLP to handle customer queries mainly across digital channels like web chat and social media. This type is widely used in e-commerce and online retail support.

2. AI Voice Assistants

AI voice assistants specialize in processing spoken queries and offering voice responses via Text to Speech (TTS). These tools rely on advanced NLU to interpret complex commands, from setting reminders to controlling smart home appliances. They are commonly seen in smart homes and healthcare for hands-free operation.

3. Virtual Assistants

Virtual Assistants are practically designed for handling professional workflows, automating tasks, like scheduling meetings, drafting emails, generating reports, and analyzing data. Unlike basic chatbots, they usually integrate with business software and systems, like CRM, email, and calendar.

4. Interactive Voice Response (IVR)

IVR systems refer to a suite of voice-based conversational AI tools. They are often used in call centers to route calls and resolve common queries without human intervention. Powered by speech recognition, they understand callers' needs, then handle them directly or route them to the appropriate department. This drastically reduces call waiting times.

5. SAP Conversational AI

SAP conversational AI is a specific Enterprise Resource Planning (ERP) tool that integrates with a company’s SAP (System Applications and Products) business software. It’s used to automate internal processes like HR onboarding, sales, procurement, and IT support. Tailored to SAP’s ERP systems, it helps companies streamline data-driven tasks and reduce manual work in finance and supply chain management.

Real-Life Conversational AI Examples in Different Industries

Here are the top 10 examples of conversational AI across different industries, from customer service and smart homes to HR and IT support. Let’s dive into how this technology drives business efficiency, improves customer loyalty, and boosts revenue growth.

AI Chatbot Examples in Customer Service

Example 1. Anker Scales Global Business with Solvea AI Chatbot

Anker is a global retailer of consumer electronics, serving over 100 million users across 100+ countries. With a team of over 300 support agents, they need to handle over 2 million tickets per year. However, its fragmented workflow strained the support team and led to an inconsistent customer experience.

Solvea’s AI chatbot helped Anker solve these problems by streamlining global operations and integrating 270+ platforms into a centralized interface. Since the introduction of this chatbot, Anker has resolved 70% of inquiries automatically and reduced handle time up to 5 minutes.

Example 2. VirgoCX Accelerates Global Customer Support with Solvea

VirgoCX is a top cryptocurrency trading platform that offers institutional services such as OTC trading, wealth account management, and so on. With a small customer service team, the company has been troubled with rising ticket volumes, long response times, and repetitive inquiry overload.

However, in June 2024, VirgoCX integrated Solvea’s AI chatbot on its support channels. The agent helped handle 92% of messages, resolved 56% of tickets automatically, cutting response time to under one minute and boosting CSAT by 30%.

AI Voice Assistants Examples in Smart Homes

Example 3. Marriott International Evaluates Guest Experience with Amazon Alexa

Marriott International is a leading global luxury hospitality group with a vast hotel network across the world. Facing intense competition in the industry, the company strives to offer differentiated service and personalized guest experiences, but routine front desk inquiries burden its support team.

After integrating the Amazon Alexa voice assistant into guest rooms, Marriott’s guests can easily control in-room amenities, request services, and access local information via voice commands. This greatly optimizes the guest experience, making Marriott a new standard for modern hospitality.

Example 4. Brookdale Empowers Seniors with Google Assistant

Brookdale is a senior living care provider that offers numerous senior living facilities across the U.S. It helps seniors keep their independence while ensuring safety and well-being. However, traditional care methods failed to balance personalized care and efficient monitoring for caregivers.

Since it adopted the Google Nest smart assistant in its facilities, residents can use voice commands to set reminders, adjust their living environment, and call for emergency support. This assistant helped Brookdale improve residents’ quality of life, monitor their demands in real-time, and ease the worries of their families.

Virtual Assistants Examples in Business Operations

Example 5. Mercedes-Benz Streamlines Customer Service with "Sarah" Assistant

As a global automotive giant, Mercedes-Benz faced a mounting challenge across multiple markets, including a surge in customer inquiries about vehicle features, service scheduling, and dealership details that strained its traditional customer service channels.

To address these issues, Mercedes-Benz developed a virtual assistant, “Sarah”. It offers instant and precise answers to customer inquiries through natural conversational interactions. This solution greatly reduced response times and eased through natural conversational interactions while ensuring a unified brand experience across every customer touchpoint.

Example 6. Cleveland Clinic Optimizes Healthcare Operations with "Mia"

Cleveland Clinic is a well-known healthcare center that offers patient care and conducts medical research. In recent years, the institution faced various challenges: managing a flood of patient communications, appointment schedules, and administrative queries that bogged down its daily workflows.

So, the clinic partnered with "Mia," a virtual assistant that automates appointment reminders, answers insurance-related questions, and enables patients to access their medical records. This simplified administrative processes, lowered the rate of missed appointments, and allowed medical staff to focus more on complex patient care.

Interactive Voice Response (IVR) Systems Examples in Call Centers

Example 7. FedEx Transforms Call Center with AI-powered IVR System

FedEx is a global shipping service provider that needs to handle millions of customer calls each year, from package tracking and shipping rates to service location inquiries. However, its massive call volumes strained human support teams, making them struggle to address requests efficiently.

These challenges are transformed after implementing an advanced IVR system. It allows customers to speak about their needs naturally and gives them immediate and precise information. As a result, FedEx cut call handling times significantly and improved overall customer satisfaction.

Example 8. Bank of America Modernizes Phone Banking with IVR

Bank of America is a multinational investment bank and financial services company that offers telephone banking services to millions of customers worldwide. For a long time, this institution relied on traditional menu-based phone banking systems, which made it inefficient for users to check balances, transaction records, and access other services.

To improve its telephone banking system, it deployed an IVR solution that can understand customers' requests for balance inquiries, transaction history checks, and other basic banking operations in natural language. After that, the bank has seen a reduction in average calling time, an increase in first-call resolution rate, and a smoother banking experience for its users.

SAP Conversational AI Examples in HR & IT Support

Example 9. Siemens Standardizes Global HR Operations Using SAP Conversational AI

Siemens is a German multinational technology company focused on healthcare, transportation, and infrastructure, with a vast HR system. However, its overloaded HR workflow led to inconsistent onboarding experiences across different regions and placed a heavy administrative burden on the HR team.

Therefore, Siemens adopted an SAP conversational AI assistant for building an intelligent HR system. It can guide new employees through every step of the onboarding process, answer policy-related questions, and integrate with ERP systems. This helped Siemens establish a consistent global onboarding experience and ease HR workload.

Example 10. Lufthansa Technik Optimizes IT Support with SAP Assistant

Lufthansa Technik serves as a leading provider of aircraft maintenance, repair, and overhaul services. Its IT support teams face a growing number of service tickets for routine issues, like password resets and system access requests, which pull IT technicians away from tackling complex tasks.

However, these problems have been solved by implementing an IT support chatbot built on SAP conversational AI. It can handle common queries and automatically generate service tickets for unresolved issues. This company has slashed the average resolution time for routine IT problems and improved the overall productivity of the IT support team.

Conversational AI Examples FAQ

1. Is ChatGPT a conversational AI?

Yes, ChatGPT works as a conversational AI assistant that can perform a wide variety of tasks, such as answering questions, explaining concepts, writing articles, summarizing content, and drafting.

2. What’s the best conversational AI model?

There are a variety of conversational AI models, and the ideal choice depends on your specific needs and intended use. For overall best, OpenAI's ChatGPT provides many strong options, and Claude is more suitable for writing and coding.

3. Is there a free conversational AI?

Yes, there are some free conversational AI tools, like Microsoft Copilot, Google Gemini, QuillBot, and Claude.

4. What is the difference between a chatbot and conversational AI?

A chatbot is a type of conversational AI, but not all chatbots are conversational AI. For example, rule-based chatbots are not built on conversational AI technology because they use keywords or other language to trigger pre-written responses.