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Most businesses know they should automate customer support. But they don’t know where to start, so they automate nothing or try to do everything at once.

And the guides out there don’t help. They explain what support automation is, not what to do first.

I’ve built chatbots for clients for over 6 years, and I use the same three-step process every time. It gets most businesses to a 70 to 90% resolution rate.

In this guide, I’ll teach you those three steps, so you can get started today.

Let’s get started!

Most businesses start with a chatbot on their website. It works. It answers some questions, and everyone’s happy.

Then a customer messages you on WhatsApp. A week later, someone asks about the same product in your Instagram DMs. Then Facebook.

Soon you have three separate bots. Three separate inboxes. Three separate conversations with the same customer. And every time they switch channels, they have to explain themselves all over again.

That’s the exact problem an omnichannel chatbot solves.

I’ve spent the last 7 years building chatbots across channels for hundreds of clients. Some were small shops running their first WhatsApp flow. Others were bigger brands juggling five channels at once.

In this guide, I’ll cover:

• What an omnichannel chatbot is
• How it works
• The biggest benefits
• The mistakes I see most often
• Best practices with omnichannel bots

Let’s get into it!

Most customer service teams spend the majority of their day answering the same handful of questions. Where’s my order? What’s your return policy? How much does this cost? How do I log in? 

AI agents for customer service now handle these conversations automatically, without a script or human involved. They read what the customer is asking, find the answer, and reply on their own.

One of my eCommerce clients, Burker, automated 75% of their customer conversations in the first month using Tidio’s Lyro AI agent.

This guide is based on 7 years of building chatbots and AI agents for real clients across many industries.

To be clear: we’re not an AI agent platform, and we’re not here to sell you our own tool. We’re an independent party, and I tested every platform on this list myself.

Below, I’ll break down the 6 best AI agents for customer service, what each one is best for, and which I’d pick for your situation.

Let’s dive in!

Every SaaS product hits the same wall. You add more users, and support requests pile up. But you can’t hire support agents at that speed.

So your team answers the same questions all day. What does it cost? How do I get started? Does it work with my other tools?

That’s where a SaaS chatbot comes in. Train it on your product documentation, and it answers those repeat questions for you. Your team can focus on conversations that need a real person.

But which platform should you use? I’ve spent the last 7 years building chatbots across 200+ platforms. I’ve tested every tool in this list against what SaaS teams need.

In this guide, I’ll break down the 7 best SaaS chatbots. For each one, you’ll see what it’s best for, where it falls short, and which I’d pick for your team.

To do this, I checked each platform on five things:

• How well it trains on your docs
• How it hands off to a human
• Its channels
• Its integrations
• How easy it is to set up

Let’s get into it!

Customer service volume is growing faster than most teams can hire. More customers, more questions, more channels to cover, but the same number of agents trying to keep up. 

Chatbots fix that. They answer the repetitive questions instantly, around the clock, so your team isn’t drowning. But if you pick the wrong one, you get frustrated customers, money wasted and hours of setup time spent on a tool that didn’t deliver.

I know the difference a good customer service chatbot makes because I’ve seen it. One of my eCommerce clients automated 75% of all their customer conversations in the first month after we set up their bot. Three out of every four messages are handled without a human lifting a finger.

Over the years, I’ve tested 200+ chatbot platforms and built customer service bots for clients across many channels. In this guide, I’ll go over what makes a good customer service chatbot, and the 6 best platforms in .

Let’s get into it!

80% of people who use a customer service chatbot end up more frustrated, not less.

These businesses spent real time and money on their bots. But the result still pushed customers away.

So what went wrong? It’s almost never the tech. It’s usually the setup, the launch, and the upkeep.

I’ve built chatbots for hundreds of clients over the past 7 years. And the same chatbot mistakes come up again and again.

In this guide I’ll cover the 10 most common ones, as well as how to fix them.

Let’s dive in!