5 AI Chatbot Examples for Stellar Customer Support

Check our AI chatbot examples and see if these AI-powered innovations are your key to stellar customer support.

5 AI Chatbot Examples for Stellar Customer Support
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Jun 3, 2024 04:11 AM
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With their ability to provide agile customer support, it’s clear that AI chatbots are not just a fad—they’re the future of support services. Statistics showed that about 67% of companies are highly satisfied upon jumping to the “chatbot revolution.”
There’s no surprise there. AI chatbots are pretty easy (and cheap) to deploy nowadays and understanding how they work isn’t an enigma. Unlike support agents, chatbots can operate 24/7, promptly resolving customer inquiries.
Yet, we recognize why some are still hesitant to adopt AI chatbots. There’s a concern that they lack the “human touch” people need when reaching out to a business’s helpdesk.
To alleviate these concerns, we share some AI chatbot examples for you to see how these innovative solutions can transform your customer support.

What is an AI Chatbot?

An AI chatbot is a software application or interface that uses machine learning and large language models to engage in a “human-like” conversation.
When integrated into customer support, AI chatbots can respond to simple customer questions, share self-service options, generate support tickets, and provide personalized recommendations.
Unlike traditional chatbots (with scripted dialogues), AI chatbots can understand people’s replies and converse within the context of the current conversation. They can “talk” with the customer, understanding their intent, behavior, and even sentiment.

Where are Artificial Intelligence Chatbots Used Nowadays?

Aside from customer support, AI chatbots are also applied in e-commerce, healthcare, marketing, and education. Across these industries, AI chatbots share one common goal: to provide people with accurate information in seconds and clarify their questions.
In terms of digital platforms, AI chatbots can be deployed in:
  • Websites: If you primarily promote your SaaS products via a website, you can use AI chatbots (as chat widgets) to engage visitors and answer their questions about your products. Your current customers can also use them to seek help with technical problems.
  • Social Media: Thousands flock to social media platforms like Facebook, Twitter, and Instagram. If you use these channels as gateways to your business, AI chatbots can help you address customer inquiries sent through them.
  • Mobile Apps: You can integrate an AI chatbot into your mobile app to provide real-time assistance to users.
  • CRM Platforms: Many AI chatbots nowadays have integration features with support software such as Zendesk, Intercom, Salesforce, Freshdesk, and HubSpot.
  • Email: There are also AI chatbots that can act as AI email assistants, helping draft replies to queries sent via email.

Top AI Chatbot Examples of Excellent Customer Support

In our examples below, you’ll see that AI chatbots aren’t meant to completely replace human representatives; they’re tools designed to augment your support team's efficiency and productivity.

1. My AskAI Customer Support Agent

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First on our list is the AI customer support agent of My AskAI. This is a code-free, AI-powered chatbot that can resolve over 75% of customer requests daily.
It can be added directly to a website as a chat widget using only one line of HTML code, or integrated into a live chat provider (e.g., Intercom, Zendesk, or Hubspot) via their marketplaces.
By adding your web pages, help docs, and knowledge bases (like Notion or Google Drive), the AI agent learns company-specific information so it can answer any questions in 5 seconds. It also automatically syncs and updates information from any new pages.
If the AI can’t help, users can seamlessly hand off the conversation to your business’s existing chat support tool. A summary of the entire conversation with the AI is provided so users can easily relay context to the human agent.

2. Ada Reasoning Engine Chatbot

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Ada is an AI chatbot that lives up to the legacy of its name’s origin, the pioneer programmer Ada Lovelace.
Ada dubs their chatbot as a reasoning engine because it uses a language learning model (LLM) to harness knowledge from your content sources and “reason out” answers to customer questions. If Ada is unable to answer a query, it can use predefined fallback options to continue providing service to customers.
You can deploy Ada to a website, CRM tool, messaging app, or social media platform, and it will instantly answer questions in an automated manner.

3. Tidio’s Lyro Customer Support AI

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Lyro is a conversational AI chatbot capable of self-learning support content and help docs provided. Using NLP, the chatbot can “talk” with customers in natural, human-like language, as well as understand the intent and context of messages.
Unlike most AI chatbots that utilize GPT models, Lyro is built using Claude (Anthropic AI), which is known for its more concise, accurate, and insightful writing.
Furthermore, you can monitor Lyro’s performance over time and assess points of improvement. You can then add additional data and content to enhance the AI's capabilities.

4. Aivo Agentbot

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Aivo’s Agentbot offers a simple, no-code AI chatbot for businesses. It strives to converse in multiple languages and comprehend customers’ intent to give accurate answers.
This chatbot takes customer support to the next level with its video conversational AI, featuring an ultra-realistic AI-generated avatar that can engage customers. It’s like having a “human-like” virtual assistant providing a natural and unique customer experience.
Aivo is an official Meta partner, making it an ideal choice if your primary support channels include Facebook, Instagram, and WhatsApp.

5. Amazon Lex Conversational AI

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Amazon Lex is a cloud-based platform where users can design, build, and test AI-enabled conversational interfaces, chatbots, and interactive voice responses (IVRs).
Unlike our previous examples with a simple “add webpages and go” setup, Amazon Lex provides an automated chatbot designer that requires the user to add customer support conversation transcripts that the builder will analyze in hours. Afterward, you can customize the decision flow and chatbot design to match your brand.
We recommend Lex if your business is looking for a more customized and tailored solution, as it essentially allows you to create a novel chatbot for your brand rather than adopting a “premade” bot provided by another platform.

So, Should You Use an AI Chatbot for Customer Support?

The answer is a resounding yes. Imagine a smart automated tool that can handle over 70% of customer requests daily. That would be a huge relief for your customer support team, giving them more time and energy to focus on tasks that truly matter.
Our AI chatbot examples demonstrate the potential of these technologies. Why hire additional support reps and incur costs when you can adopt a one-stop solution that you can try for free?

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Written by

Alex Rainey
Alex Rainey

Alex is an experienced CTO and founder who largely focuses on all the technical areas of My AskAI, from AI Engineering, Technical Product Management and overall Platform Development.