
customer service,
translation,
AI translation,
chat translation,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
10 minute read
The rapid advance of technology, and especially the technology connected to communication, means that we are experiencing a strong shift from interlingual, written, and delayed communication to spoken, immediate communication. In spoken communication we rely on knowing the other person’s language, using a lingua franca or, more recently, real-time language translation.

The point of new tools and technologies is that they should help with, enhance or simplify the agent experience. We’ve all met with new devices or solutions that seem great on paper but just end up being more of a hassle than they’re worth. That was the main thing we set out to avoid.
Our real-time translation tool was made with ease of use in mind. We wanted the agent to quickly and effortlessly implement the tool into their workflow, requiring as little deviation from their standard routine as possible. Also, the tool takes the agent’s mind off of translation by allowing them not to worry if their message is coming across correctly so that they can focus on the task at hand. This in turn increases both agent and customer satisfaction.
Faster and more accurate service? Happy customers!
The integration aspect continues down the path of ease of use. There’s no point in a solution that can’t work with specific platforms or that has to be bent into place to work. Seamless integration was a goal for us from the word go.
This means that, whatever your platform, Automated Translation can be integrated with ease. Making the start of use in the near future without the need for restructuring or many intense work hours to set up.
Lastly, the whole point of a real-time translator is to translate and to do it well. Our tool boasts a 97% accuracy making worrying about the meaning and correctness of translation a thing of the past.
Not only that, but Automated Translation is AI-powered meaning it understands context and idioms, translating them with regard to what’s around them and not the sentences in isolation.

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.
This creates a more natural and fluid conversation between agent and customer and leads to better understanding and communication.

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