How LiveAgent resolved 75% of chat interactions via the AI Chatbot

LiveAgent operates a large SaaS website that attracts significant visitor traffic. While many visitors are interested in the product, a substantial portion access non-product-related pages, such as blogs or glossary entries. As a result, the customer support team was overwhelmed with a high volume of chat inquiries. However, many of these chats were unrelated to product support, including general questions, misrouted requests, or even off-topic inquiries.

Despite this, support agents had to handle them, which took their time away from assisting real customers with valid product-related issues. The team was struggling with increased response times, which reduced overall support efficiency.

The solution? An AI chatbot that could filter, sort, and handle customer interactions without losing the ability to provide help where it was truly needed. Since implementing the AI chatbot, a huge volume of visitor questions has been filtered right at the first point of contact. This has resulted in LiveAgent AI chatbot resolving 75% of all chat interactions across all LiveAgent websites.

Smarter support for a growing customer base

Developed in 2006 by two pioneering developers in Slovakia, LiveAgent has evolved into a versatile customer support tool, offering live chat, ticketing, and help desk capabilities used worldwide. Today, LiveAgent serves over 150 million users and over 40,000 businesses worldwide. With a large website and heavy traffic generating a high volume of customer queries, in 2024 LiveAgent’s customer support team recognized the need to optimize support interactions.

‘To address this, we implemented an AI chatbot to efficiently manage and filter customer requests, ensuring faster, more focused support that continuously evolves with the needs of LiveAgent’s customers,’ says Jozef Štofira, Head of LiveAgent’s Customer support team.

Operational challenges for the support team

When LiveAgent’s customer support team decided to deploy the AI Chatbot, they wanted to address these main challenges:

1. Lighten agents’ workload

Approximately 3,500 live chats with clients were handled by human agents monthly, 1,500 of which were misdirected inquiries. This made it difficult for the team to prioritize their time and focus on important, product-related queries.

2. Delegate tasks to human agents intelligently

Around 2,300 contact forms on industry-related content pages were handled only by automation rules to avoid the support team overload (with mainly additional misdirected inquiries). However, relying solely on automated templates, rather than personalized responses, was leading to a noticeable decrease in response quality and, in some cases, missed opportunities or delays in addressing legitimate customer inquiries.

3. Supporting focused work, not chat chaos

With the growing customer base over the years, LiveAgent’s customer support agents were receiving enormous amounts of requests. As a result, agents often had to juggle several parallel chats at once, frequently switching between topics and questions, many of which were not even directly related to the product itself. This constant disruption made it difficult for agents to maintain focus or pay their full attention to truly product-related inquiries.

4. Scaling support without scaling costs

Before implementing LiveAgent AI Chatbot, handling growing volumes of incoming chats was becoming unsustainable. With monthly interactions rising by 25%, the team faced the challenge of scaling support without significantly increasing costs or overloading their agents. Hiring additional agents would have required an additional investment. They were looking for a cost-effective way to manage simple, repetitive queries while keeping the customer support team focused on more complex issues.

Moment of truth: LiveAgent AI Chatbot deployment

After experimenting and testing various contact options, LiveAgent fully deployed the AI chatbot on its webpage, following these steps:

• Selected specific parts of the website (blogs and glossaries) for the initial deployment.
• Connected account with an AI provider – FlowHunt, and set up the chatbot using the recommended initial template, customizing it with their specific information and requirements:
  • Integrated both the website and knowledge base as primary knowledge sources for the chatbot.
  • Defined escalation rules to ensure seamless handover to human agents when necessary.
  • Created new chat widgets utilizing the chatbot.
• Replaced previous contact form widgets on selected (blogs and glossaries) pages.
• Configured automation to tag all chats from these widgets with the “Chatbot” tag and set up rules to tag chats transferred from the chatbot to human agents to monitor performance.
• Monitored chatbot conversations daily, optimizing system prompts and updating FAQs to improve response accuracy and chatbot overall behavior.
• Rolled out the chatbot to the main page, continuing to enhance performance with further prompt improvements and expanding the FAQ knowledge base.
• Continuously monitored performance metrics and chatbot behavior post-launch for optimal support service and customer experience.

More time for impactful conversations

After the LiveAgent AI Chatbot implementation on the LiveAgent webpage, the team has seen outstanding results:

• 75% of all chat interactions are now resolved by the chatbot across all LiveAgent web pages, including blogs, directories, and glossary pages.
• A 48.5% drop in live chats requiring human agents: from 3,500 to just 1,800 per month — was achieved thanks to the AI chatbot efficiently handling routine inquiries.
• 40% of chat interactions are now successfully handled by the AI chatbot on LiveAgent Product web pages.
• 25% increase in total chat interactions (from 5,800 to 7,300) without hiring additional support agents, thanks to the chatbot’s ability to manage a high volume of simple queries.

What’s next? Expanding AI Chatbot coverage

LiveAgent’s journey with chatbot implementation has already delivered significant improvements in efficiency, but they see this as just the beginning. Looking to the future, LiveAgent has plans to further leverage AI use in customer support.

One of the key initiatives is to create knowledge base articles with AI from resolved tickets. By transforming agents’ resolved support interactions into valuable, easily accessible knowledge FAQ, LiveAgent aims to empower the AI chatbot to answer an even broader range of questions with higher accuracy.

LiveAgent is also excited about the upcoming release of an enhanced version of the AI answer assistant in the platform. This will enable the customer service team to utilize AI more effectively, not only for chat interactions but also for managing email-based tickets. With this capability, LiveAgent anticipates faster resolutions and even more consistent support quality across all channels.

AI and human support in perfect sync

Get started with LiveAgent AI Chatbot, which integrates over 15 advanced AI models to enhance your customer experience.