
Efficient AI communication: EMMA®AI CONVERSATIONAL AI
EMMA®AI is able to obtain and understand incidents and requests from (ticket) systems as well as to process reported cases via e-mail. In addition, thanks to the integrated Natural Language Processing (NLP), tickets can also be analysed and processed via telephony or chat systems. Our Conversational AI empowers precise and seamlessly natural dialogues between users and EMMA®AI, spanning multiple languages.

NATURAL LANGUAGE PROCESSING
The conversational AI of EMMA®AI empowers users to seamlessly report issues through various channels, including text-based chat and voice-based phone interactions. This versatility allows for engaging in a natural-sounding dialogue, making the communication process feel intuitive and user-friendly. Leveraging advanced natural language processing (NLP) capabilities, EMMA®AI ensures a precise understanding of user inquiries, which significantly enhances the efficiency of AI communication. Upon capturing the reported request, EMMA®AI is designed to ask targeted follow-up questions, guiding users toward the most appropriate and effective solutions. This streamlined approach not only resolves issues more efficiently but also enriches the overall user experience.

MULTI-CHANNEL SOLUTION
EMMA®AI automatically and cross-channel analyzes your inquiries. Customer requests can come in through various channels: optionally through a ticketing system, via email, chat, or phone. It autonomously decides whether it can handle the solution itself or involves one of our highly qualified IT experts for very complex inquiries. Especially the interface capabilities with various ITSM tools such as JIRA, ServiceNow, or SMAX enable our AI to connect with your ticketing platform, receive and process requests. Regardless of the ticketing systems or channels used in your company, EMMA®AI adapts to your system environments and requirements, connects your ticketing system and desired channels in the central EMMA®AI platform, and provides you with a tailored solution.