
AI,
automated translation,
AI translation,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
6 minute read
Customer service is all about convenience. Whether it’s a question, a complaint, or just an inquiry, customers expect their needs to be addressed promptly and accurately. This is where real-time text translation can come in handy. With the power of machine learning and artificial intelligence, businesses can now provide customers with near-instantaneous translations of messages and inquiries in any language. Here’s how real-time text translation for customer service can revolutionize the way you do business.
We have developed Automated Translation, a real-time, AI-powered solution. A powerful, easy to use, full-size tool to solve any and all translation problems.
We have created this solution from the ground up using AI to create a tool that recognizes patterns and idioms to create a natural translation. The goal here is empowering agents, not replacing them. Giving agents a tool to increase their performance and productivity, and giving businesses the ability to offer 24/7 accurate, fast, and reliable customer support due to the fact that you can hire anywhere to provide support in any language, at any time.
The example illustrates how easy it is to use Automated Translation because it seamlessly integrates into the agent workflow. It does complicate the workflow by two clicks but overall greatly reduces the time needed for responses. This is thanks to the fact that agents can focus on using their expertise on helping the customer instead of worrying if they’re going to be understood.

Created at Thu Sep 17 2026
6 min read
Something happens when a technology concept outpaces the terminology we have to describe it. Across the customer experience landscape, vendors start applying the same label to wildly different things. For instance, industry leaders start buying into the AI label instead of its real operational capability. And somewhere between the pitch deck and the production environment, the real question gets lost: does any of this actually address a real operational need? Agentic AI has reached that stage.

Created at Fri Sep 11 2026
3 min read
This is an interesting thought experiment that is worth exploring for anyone involved in buying or selling enterprise services. Think about two companies in your industry that essentially offer the same services, but in an entirely different way. Banking is a good example. There are several European banks that have been continuously operating for almost 300 years. You can imagine how some of these bank branches look. I

Created at Fri Sep 11 2026
16 min read
When a single negative interaction sends more than 50% of customers to a competitor, CX is make-or-break for every brand. From goal and lever metrics to leading and lagging indicators, experience stats like customer satisfaction (CSAT) and net promoter score (NPS) to efficiency measures like average resolution time, team health factors, and even AI-powered customer service KPIs, learn everything you need to track to assess your customer