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Published July 8, 2024 in Guides

7 smart ways to use AI in customer service

Kenneth Pangan

Kenneth Pangan

Writer

Dealing with customer questions can sometimes feel like you’re trying to catch a never-ending wave, right? As your business grows and customers expect faster, more personal help, keeping up with all those incoming questions while still giving great service can feel pretty tough. This is exactly where AI for customer service really steps up. It’s way more than just popping a chatbot on your website; it’s about using smart tools to take on tasks, give your team a hand, and show you useful stuff you might miss otherwise.

AI is fast becoming a must-have for modern support teams. It helps everyone work quicker, answer common questions right away, and lets your human agents put their energy into the harder problems that truly need their skills. But what does “AI customer service” actually mean in practice, and how can it genuinely make things better for you? Let’s look at some clever, practical ways AI is making a real difference and how it can directly help your day-to-day work. Finding the right AI tool, something like eesel AI, can actually make trying these ideas out much easier and less expensive than you might guess.

Visual representation of AI in customer service, showing a chatbot and agent interface.

AI supporting customer service through chatbot and agent collaboration.

Why AI is changing customer service

The world of customer support is moving fast. Today’s customers want quick answers, service that feels personal, and help available whenever and wherever they need it. This puts a lot of pressure on support teams who often need to do more without getting extra resources.

AI is stepping in to help change this picture. By handling the jobs that are the same over and over, and by giving instant info, AI tools can really boost how efficient and productive your team is. This means customers get answers and problems solved faster, which they really appreciate. It also helps cut down on costs because AI takes care of some of the work. Importantly, AI makes things better for your agents too, taking boring tasks off their plate and giving them better tools to do their job well. The point isn’t to replace your great human team, but to give them the power to handle more and provide even better service.

How we picked our “smart” AI ideas

When we talk about using AI in “smart” ways for customer service, we mean things that are truly useful, make a real difference, and fit smoothly into what you’re trying to achieve in your business. We didn’t just grab random tech features; we focused on what actually helps support teams and their customers see real improvements.

Here’s what we looked for when choosing the seven ideas we’re about to share:

  • Real difference: The AI tool has to clearly improve important customer service numbers, like how fast you fix problems, how many questions your AI can answer on its own, or how much more your agents can get done.
  • Doable now: It needs to be something you can actually set up and use today using current AI tech and ways to connect systems, not just some future dream.
  • Grows with you: The solution should easily handle more questions or trickier tasks as your business gets bigger.
  • Good for everyone: A smart AI idea helps both your team and your customers. It should make getting help easier and quicker for customers, and make your agents’ jobs less annoying and more rewarding.
  • Clear results: You should be able to see solid benefits, whether that’s saving money by automating things or getting more value because agents have time for more important work.

7 smart ways to use AI in customer service

Okay, let’s get down to what you can actually do. Here are seven ways you can use AI right now to really improve your customer service work, making things smoother and better for everyone involved.

1. Let AI handle those basic questions

Think about all those common questions your support team answers every single day: “Where’s my order?”, “How do I change my password?”, “What’s your return policy?”. These questions are important, but they eat up valuable time that your human agents could use for more complicated stuff. This is exactly where AI is brilliant.

An AI agent can be trained to take care of these simple, repeated questions from start to finish without needing a human to jump in. It uses its understanding of language to figure out what the customer is asking for and gives an instant, correct answer based on the info you’ve provided. This really cuts down the total number of tickets your human team has to deal with.

  • This is where a capable AI Agent comes in handy.
  • Platforms like eesel AI are great at automating these basic tickets.
  • They ensure answers are right, sound like your brand, and can even do things like grab order details from places like Shopify or Big Commerce.
Screenshot of an eesel AI Agent resolving a basic customer question in a chat.

eesel AI Agent resolving a customer question in a chat interface.

2. Smarter ways to sort and send tickets

Getting new questions to the right person or team fast is super important for solving problems quickly. Without AI, someone usually has to read each ticket by hand, figure out what it’s about, decide who should handle it, and maybe add tags. This takes time and can lead to mistakes.

AI can look at incoming tickets the second they arrive. It instantly understands what the customer wants (their intent), how they feel (their sentiment), how urgent it is, and what language they’re using. Based on this, the AI can automatically put the ticket into the right category, add tags, and send it to the best agent or team.

  • Instead of sorting things manually, AI can add tags and decide which tickets are most important exactly how you tell it to.
  • eesel AI‘s smart sorting tools let you set up custom rules for sending tickets and taking actions, making sure questions get to the right people faster.
Screenshot showing the setup interface for AI-powered ticket sorting and routing rules.

Interface for setting up AI-powered ticket sorting and routing rules.

3. Giving agents instant, helpful info (AI Assistant)

Even the best support agents can’t remember every single piece of company knowledge. They often spend a lot of time digging through help centers, internal guides, or old tickets to find the info they need to give a customer a correct answer. All that searching time really adds up and slows things down.

AI tools can work like a helpful sidekick for your human agents, right there with them in the helpdesk they already use. An AI Assistant can read the current conversation and instantly offer useful suggestions, draft parts of replies, or pull up links to the exact document or past ticket the agent needs.

  • Imagine an AI working next to your agents, suggesting replies or finding the exact guide they need.
  • eesel AI‘s AI Assistant browser extension does just this.
  • It works directly inside helpdesks like Zendesk or Freshdesk to give agents help based on the conversation and pull info from sources like Google Docs or Confluence.
  • This helps agents get more done, cuts down on searching time, and makes sure answers are always the same and correct, which is extra helpful when training new team members.
Screenshot of an AI Assistant providing real-time suggestions to a human agent within a helpdesk interface.

AI Assistant providing real-time suggestions to a human agent in a helpdesk view.

4. Understanding how customers feel and what they really need

Knowing not just what a customer is asking, but how they feel and why they’re reaching out is key to giving support that’s both understanding and effective. Trying to figure out how people feel across tons of tickets by hand is hard and takes ages for agents.

AI can look at the words, tone, and specific phrases customers use to figure out their mood (are they happy, annoyed, confused?) and what they’re actually trying to do (are they asking for money back, reporting a bug, looking for info?).

  • This helps you prioritize urgent or unhappy conversations.
  • It gives agents useful background before they even start talking to the customer.
  • It can even help spot new problems or trends before they get big.
  • Knowing how a customer feels is super important for good service.
  • While some built-in tools offer basic sentiment analysis, platforms like eesel AI use advanced AI models to understand things more deeply, which you can use to trigger specific actions or send tickets to managers.
Screenshot showing a dashboard or report displaying customer sentiment analysis results.

Dashboard displaying customer sentiment analysis results.

5. Letting AI fetch info and do simple tasks (like checking orders)

Lots of customer service questions need agents to look up information stored in other systems – like finding an order in your online store platform or checking a customer’s account status in your CRM. This often means switching between different tools, copying and pasting stuff, and looking things up manually, which is slow and easy to mess up.

AI can connect with these internal systems using special links (APIs). This lets the AI agent not only grab specific customer or order details right within the chat but also potentially do things in those systems, like start a return, update contact info, or apply a discount.

  • Going beyond just answering questions, AI can actually do stuff.
  • eesel AI‘s custom API actions let your AI agent get customer-specific info or do tasks like checking orders right in the middle of the conversation.
  • It connects with platforms like Shopify or your own internal tools.
  • This ability really speeds up how fast you can solve problems and lets AI handle questions that need action, not just info.
Screenshot of an AI chat conversation demonstrating the AI fetching external data like order status.

AI chat conversation retrieving external data, such as order status.

6. Making self-service better with smarter chatbots

Old-school chatbots often just follow fixed paths or look for keywords. This can frustrate customers who ask questions a bit differently than expected or have more complicated things to sort out. This leads to bots that feel awkward and not very helpful, sending customers straight back to talking to a person.

Today’s AI-powered chatbots are way more advanced. They use powerful AI models to understand natural language much better, remember what you’ve already talked about, and feel more like talking to a person. Putting these smarter chatbots on your website or in your help center really improves the self-service experience.

  • Customers these days expect more from a chatbot than just matching keywords.
  • eesel AI‘s Livechat AI gives you a chat bubble for your website that’s powered by AI trained on your specific knowledge.
  • This means smarter, more conversational self-service options.
  • They can handle more kinds of common problems, help more customers find answers themselves (this is called deflection), and provide important help 24/7.
Screenshot of a modern AI-powered chat widget on a website providing self-service support.

AI-powered chat widget on a website providing self-service support.

7. Finding what your AI doesn’t know to keep getting better

Even with a great knowledge base and well-trained AI, there will be times the AI can’t give a full or correct answer. These moments aren’t failures; they’re chances to improve! Trying to manually look through conversations to find where the AI struggled is a huge job.

AI can look at its own chats, specifically pointing out times it couldn’t solve a problem or when the customer said they didn’t get the help they needed. This analysis shows you exactly which topics or types of questions your AI couldn’t handle well.

  • This info is super valuable because it tells you exactly where your knowledge base is missing info, is out of date, or isn’t clear.
  • Knowing where your AI (and your knowledge base) isn’t quite right is key to making things better.
  • eesel AI gives you insights, including details on what knowledge is missing.
  • This shows you exactly what info you need to add so you can keep making your training data better.
  • By finding these gaps, you can proactively create new help articles, update old ones, or improve your AI’s training data.
  • This makes your AI work better and improves the quality of your support content overall, for both AI and your human team.
Screenshot showing a report identifying knowledge gaps or areas where the AI needs improvement.

Report highlighting knowledge gaps and areas for AI improvement.

Quick look at AI customer service ideas

Here’s a simple summary of how these smart AI tools can help your customer service team:

Use Case Main Benefit How AI Helps
Automating Tier 1 tickets Less work for agents, faster replies Understands needs and gives instant answers
Smart ticket sorting & routing Faster responses, fewer mistakes Reads content, figures out intent and urgency
Helping agents with instant info Saves time, more consistent replies Suggests drafts, finds the right knowledge fast
Analyzing sentiment & intent Prioritizes better, spots trends Understands feelings and what customers really need
Fetching data & doing simple tasks Solves problems quicker Connects to other systems, retrieves or updates info
Smarter self-service chatbots Better 24/7 support, higher deflection Uses advanced understanding for natural chats
Identifying knowledge gaps Improves content and AI training Finds where info is missing or unclear

Tips for getting AI working well for your support team

Putting AI to work in your customer service isn’t just about picking a tool; it’s about planning how you’ll use it smartly. Here are some tips to help you get the most out of using AI and make sure it goes smoothly.

Screenshot of the eesel AI interface for training the AI on multiple knowledge sources.

eesel AI interface for connecting and training on multiple knowledge sources.

  • Start small, then grow: Don’t try to automate everything at once. Pick one or two key areas maybe common questions or ticket sorting and test carefully before rolling out fully. This lets you fine-tune your process without overwhelming your team.
  • Feed your AI the right info: Your AI is only as good as the knowledge you give it. Keep your help content complete and updated. Train it not just on public FAQs but also on internal guides, SOPs, and past tickets. In fact, eesel AI lets you train your AI on lots of different sources, including past tickets (ZendeskFreshdeskIntercom), documents (Google DocsConfluence), and more. This makes sure your AI has all the info it needs to be truly helpful.
  • Support your agents, don’t replace them: Think of AI as a tool to help your agents, not replace them. Let AI handle repetitive tasks so agents can focus on complex, valuable conversations. Involve them early and ask which tasks they want automated and what support they need most. This builds trust and ensures the AI truly helps.
  • Choose a flexible platform: Your AI should fit into your current workflow, not force you to change everything. Pick tools that connect easily to your helpdesk (Zendesk, Intercom, Freshdesk) and other key tools. Flexibility to adjust answers, actions, and pricing is crucial.
Screenshot of the eesel AI integrations page showing various platforms it connects with.

eesel AI integrations page showing connected platforms.

Ready to make your customer service smarter with AI?

AI customer service isn’t just a passing trend; it’s a set of practical tools that can really change how your support team works. By automating everyday tasks, giving your agents instant access to info, and offering smarter self-service options, AI helps you handle more questions efficiently while also making the customer experience better. Using AI is a smart move towards building a support team that’s more efficient, can handle growth easily, and is better at meeting what today’s customers expect.

Choosing the right partner is really important for getting these benefits without things getting overly complicated or costing too much. eesel AI is built to connect smoothly with the tools you already depend on, giving you flexible, smart automation that fits your unique needs.

Want to see how these smart AI ideas could work for your team? Book a demo with eesel AI to see our AI Agent and AI Assistant live. Or, start a free trial today and see for yourself how flexible, smart AI support automation can help – no credit card needed!

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Kenneth Pangan

Kenneth Pangan is a marketing researcher at eesel with over ten years of experience across various industries. He enjoys music composition and long walks in his free time.

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