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.
Look, AI is finally doing real work in customer support! The future is here! But if you’re expecting some kind of plug-and-play miracle, I have bad news: this is less “push button, receive bacon” and more “train new employee (with zero personality) who happens to be made of math.”
AI agents are everywhere in customer service, sales, and operations. But their ubiquity also begs the question: Are my AI agents doing a great job or frustrating customers at an even greater scale. The only answer is to do real AI agent evaluation – not basic resolution and analytics from the AI agent provider
AI in Customer Service seems to be all anyone can talk about. But when it comes to talking about what’s not working, most organizations have been suspiciously quiet. The reason behind that silence was revealed a few weeks ago when a report from MIT unearthed a stark truth: despite billions in investment, 95% of enterprise AI pilots are failing to
