
agent experience,
AI translation,
translation,
digital transformation,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
10 minute read
This speed and efficiency combined with dynamic routing creates an amazing agent experience especially when fit into other digital operations. Through the use of Automated Translation the agents’ confidence in their work increases because they know there is no language barrier, thus raising their efficiency and satisfaction. Additionally, the agents didn’t have to go through any extra training and didn’t experience disruptions in their workflow due to the fact that the tool adds a single click to their workflow. Too good to be true? Well, it isn’t. We’ve helped a brilliant online streaming client expand to new markets while cutting costs by 50% by implementing Automated Translation into their agents’ workflow. The tool sported near-perfect translation accuracy at 97%, with no decrease in customer satisfaction when compared to data before implementation. The agents working with the tool loved it, reporting 100% agent satisfaction.



Created at Fri Oct 09 2026
10 min read
Customer satisfaction might be key to long-term business success, but satisfying today’s CFOs and board members to secure the necessary investments takes hard financial evidence. Discover what CX ROI really means in financial terms and why it’s so critical to your bottom line. We break down the four-step framework you’ll need to measure it in practice - from establishing baselines and determining CX levers, to linking them to financial outcomes and calculating net returns. We’l

Created at Mon Sep 28 2026
4 min read
DeepSeek was only founded in 2023. The company is based in Hangzhou, an important port city in Eastern China that has been a strategic hub along the Silk Roads for thousands of years. DeepSeek has been building large language models (LLMs) since the company was created, but the[ 2025 release of their R1 LLM challenged](https://www.techtarget.com/whatis/feature/

Created at Fri Sep 25 2026
5 min read
An automated system has answered a customer’s question. The answer is accurate in itself, but it has missed the true reason for the contact. The customer has to explain the situation again, this time to human support. The support representative resolves the issue, but notices something else: the same misunderstanding keeps appearing across multiple customer journeys. When a mistake repeats at scale, who owns the lesson? And what should a global enterprise expect from a CX partner whose job inclu