
The 5 AI Models Every CX Analyst Must Know
AI is reshaping customer service—but not all AI models are created equal. For customer experience (CX) analysts, understanding the mechanics behind these models isn’t just helpful—it’s critical.
We get it.
Every day, the experience you deliver helps your customers know that they made the right choice.
But as you grow, it’s not as easy to go above and beyond for each and every customer.
How can you ensure a high-quality, personal touch without slowing down a high-growth business?
See how Loris turns your customer interactions into a goldmine of conversational intelligence, giving you better CX at the scale your business needs.
Discover the top reasons your customers are contacting you, why they’re frustrated, and gain visibility into what is really impacting your customer service.
Ensure you have the accurate visibility into how your team members are handling each customer.
Spot issues immediately – to address small missteps before they become bad habits.
Help each team member say the right thing, at the right time with guided workflows that help them showcase their personalities while staying within your policies and responding to customers in a timely, accurate, and empathetic way. Everytime.
Loris AI delivers real-time insights from millions of conversations. Connect with our team to learn how fintechs like yours are already using Loris today.
AI is reshaping customer service—but not all AI models are created equal. For customer experience (CX) analysts, understanding the mechanics behind these models isn’t just helpful—it’s critical.
The integration of AI in the contact center is driven by a growing demand for rapid responses and deeper insights. This technology can parse massive amounts of customer interactions, detect patterns, and highlight emerging issues long before they impact large numbers of customers.
It’s 2025, and the conversation around customer service automation has matured. The hype around replacing support teams with chatbots has met the friction of reality. Now, leading companies are asking smarter questions: not “How can I automate more?” but rather