Chatbot

Modern chatbots use Natural Language Processing (NLP) and machine learning to understand user intent and deliver context-relevant responses. They can provide self-service assistance, guide troubleshooting, schedule tasks or surface information from enterprise knowledge systems in real time.

Chatbots are no longer confined to scripted Q&A flows. By combining large-language-model reasoning with structured content and domain data, they can retrieve precise information, resolve queries faster and even personalize recommendations. In global organizations, chatbots also act as multilingual touchpoints. When connected to translation and localization technologies such as Language Weaver, they can converse naturally across markets – giving customers, employees and technicians a seamless support experience in their own language.

For enterprises using Tridion or other content management systems, chatbots can draw directly from approved documentation and knowledge bases, ensuring that the information they provide is accurate, consistent and compliant.

At RWS, chatbots represent the practical application of AI in communication. We combine human linguistic expertise with intelligent automation to create chatbots that understand context, reflect brand tone and operate globally.

Using platforms such as Tridion, Language Weaver and TrainAI, we help organizations design conversational systems that pull verified content directly from structured repositories. This ensures every chatbot response is accurate, compliant and aligned with the organization’s voice. Our Human + Technology approach enables enterprises to build scalable, multilingual chatbots that go beyond automation – delivering clarity, empathy and efficiency across every market.