Guide to building vs. buying an AI Agent for customer service
This guide will help you assess the build vs buy question from 5 main angles so you can make a confident, informed decision.
Learn MoreCustomer service automation can free up valuable resources. Here's how AI can pave the way for quality service at scale for SaaS companies.
Here are five pitfalls of AI customer service that you need to be aware of — and how to side step them.
Wondering what most high-growth SaaS companies have in common? An automated customer service strategy backed by AI.
AI is how you transform omnichannel customer service in 2024 — delivering seamless, personalized experiences that impress customers and drive loyalty.
Here'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.