Artificial Intelligence

Efficient Content Creation

The outstanding feature of generative AI is its ability to produce novel and original output. Congree integrates generative AI to work in concert with linguistic intelligence to deliver huge gains in efficiency, especially in the creation of content. Centralized deployment of generative AI via Congree UCC makes it available in a controlled manner to all processes and people involved in content creation.

Maximum Flexibility
Due to an AI-Agnostic Approach

AI is evolving at a rapid pace. In a matter of months, new services may appear that are a better fit for you in terms of performance, privacy, or price. That's why Congree UCC takes an AI-agnostic approach. The AI can be replaced at any time without having to redevelop its integration or losing any assets that have been developed.

AI-Created or AI-Assisted
Access and Control for All Parts of the Company

By being integrated into a wide range of editors, Congree UCC empowers you to make AI available to every part of your business. You decide centrally where in fact to use generic AI and whether to allow AI-created or only AI-assisted content. This enables you to protect yourself in terms of privacy, copyright, and liability.

Generative AI Meets Linguistics: An Unbeatable Duo

Generative AI and linguistic intelligence feed off each other in Congree UCC. Generative AI comes up with creative text proposals and handles complicated rephrasing. Linguistic intelligence manages the AI in creating AI-assisted content and ensures its quality.

AI-Assisted Development of Terminology
Making Terminology More Quickly Usable

Generative AI can support the development of the terminology database by providing proposals to help with the creation of definition texts, synonyms, and links. Companies thus benefit from the rapid and comprehensive deployment of terminological resources.

Customization of Language Models
Assets as the Basis for Training

The assets developed in Congree UCC provide excellent training material for the customization of language models. These assets comprise terminology, sentences from the Authoring Memory, style guides, and the anonymized corrections to texts collected from operating the platform.