Term explanation
AI grounding is the process of anchoring an AI system's outputs to verified, real-world data rather than relying solely on knowledge encoded during model training. A grounded AI retrieves relevant, up-to-date information from external sources before generating a response. This significantly reduces the risk of AI hallucinations and ensures that outputs are accurate, current, and contextually relevant — a critical requirement for enterprise AI applications where factual reliability is non-negotiable. Grounding is a core technique used in LLM-powered systems.
LIZ AI grounds every presentation in your actual company data. By connecting directly to your enterprise systems, it ensures that every figure, update, and insight in a slide is pulled from a verified source — not generated from memory.
Learn more →External communication is the exchange of information between two organisations. For example, it can be an exchange with customers, clients or traders. Feedback from a customer also counts as external communication.
Learn moreIf there are used images or videos for communication, it is visual communication. Visual Communication is almost used everywhere like on television, posts on social media (Instagram, Facebook), advertisement.
Learn morePresentation automation refers to the use of software to automatically create, update, or distribute presentations based on predefined rules, templates, or live data. It eliminates repetitive manual tasks such as copy-pasting figures into slides, reformatting decks for different audiences, or applying brand updates across hundreds of files. Common use cases include automated management reports, investor updates, and sales decks that always reflect the latest numbers.
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