
How to build a world-class AI customer service team
Templates and guidance on building a customer service team that uses both AI and human agents to their fullest potential.
Learn MoreHere's how we use the LLMs to impact customer service, and what training processes we employ to ensure effective and secure deployment.
Differentiate your customer experience with AI omnichannel customer service. Not sure how? Read this extensive guide to learn how.
What is the omnichannel customer service dilemma, and how can we solve it? Chief Product & Technology Officer, Mike Gozzo, has some ideas.
Hallucinations in AI occur when an AI model generates information that is inaccurate or misleading but presents it as if it were true. For businesses relying on AI customer service, false or misleading information can erode customer trust and lead to operational inefficiencies.
There’s no magic solution to eliminating hallucinations, but there are ways to circumvent them. Here's everything you need to know about grounding and AI hallucinations.
Explore real-world examples of AI hallucinations, why they occur, and what's being done to address this challenge.
Why does AI hallucinate? Here's some clear and effective ways to prevent, detect, and correct AI hallucinations.
AI hallucinations aren’t an insurmountable obstacle, but rather an opportunity to continuously refine and enhance our AI systems.
Despite the undeniable impact of AI, only 24% of customer service professionals currently using it. Here's why.
Ready to automate your customer service emails? Here are some things to consider.
The future of CX automation is getting brighter and driving even better results. We recently covered this and more in our annual Spring product launch.
Companies are shifting their AI strategies to focus on supercharging leading models with their own data and processes. Here's why.