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Wembley earns $1.5M with ChatBot and other January highlights

4 min read
Jan 30, 2025

AI-powered chat isn’t just about quick replies — it’s changing the game for businesses. This month, we’ll focus on ChatBot and its two success stories: 

From handling 8,000 daily inquiries during major events to fine-tuning AI decision trees for smoother onboarding, these stories show how ChatBot isn’t just a tool — it’s a game-changer.

Don’t believe me? Then let’s dive into it!

Wembley earns $1.5M with ChatBot

Wembley Stadium isn't just about legendary football matches and sold-out concerts — it’s also home to a premium membership and hospitality business. But, as you can guess, handling thousands of customer inquiries for ticketing, events, and VIP packages became a massive challenge.

That’s where ChatBot and LiveChat stepped in, completely transforming their customer support and sales process!

Here’s how:

Want to learn more about this implementation?

Read the story

R&B communication main website

R&B Communications provides IT services, software development, and digital marketing for charter schools and small businesses, with ChatBot as a key part of its offerings.

Ethan Hunter, an account manager, specializes in tailoring ChatBot solutions for educational institutions. While initially just one of many tools, ChatBot quickly became essential for customer engagement.

The secret? Balancing automation with customization. Ethan’s team refined their process over time, making ChatBot implementations smarter, faster, and more cost-effective.

Reflecting on his experience with our program, Ethan shared:

“I’m stoked that you guys are reaching out and trying to make our lives better. That’s great!”

Here are Ethan’s key insights on making ChatBot implementations faster, smoother, and more effective:

1. Understand the client’s real needs
“Getting all the important parties involved early on and having a good discussion about what their real needs are saves time and effort later.”

2. Train the AI with quality content
Many ChatBot training issues stem from bad or outdated content. Ethan advises businesses to audit and refine their FAQs, website info, and documents before feeding them into ChatBot.

3. Use AI to build the decision tree
While manually creating chatbot flows works, Ethan found that letting AI generate the tree first and then tweaking it significantly cut down implementation time.

“I was setting up my own trees at first, but once I realized I could let AI do it and just refine the logic, the workflow became much better.”

4. Set expectations for AI’s limitations
AI chatbots aren’t perfect, and some customers may expect human-level responses. Ethan’s approach is to train clients on how to refine responses over time.

“We show them — if you get a bad response, here’s how you can edit it. Here’s how you can train it.”

5. Combine ChatBot with LiveChat for the best experience
Not every customer question can be handled by AI. Ethan recommends having a live chat option for complex cases.

“Some clients don’t need live agents, but for those who do, having a seamless handoff from ChatBot to a human makes a big difference.”

6. Be patient with the sales cycle
Some customers take time to commit to a chatbot solution, so don’t expect instant sales. Ethan shared a case where a client took three years to finalize their chatbot deployment, but it eventually led to multiple projects beyond ChatBot.

We hope these tips will help you in your ChatBot implementations. And if you haven’t had the chance to test it yet, remember that you can get your demo account and test it for free!

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