Term explanation
Internal communication is particularly important for corporate communication. It communicates important information from leadership to staff so that they can do their jobs in the best possible way and work processes run well.
LIZ AI streamlines internal communication by keeping recurring presentations — from all-hands decks to team briefings — automatically updated and aligned. No more manual version management across departments.
Learn more →Agentic Slides are presentation slides that autonomously respond to changes in connected enterprise systems. Rather than being static documents, Agentic Slides pull live data from sources like CRM, ERP, or BI tools and update their content automatically. When KPIs shift or new information becomes available, the relevant slides are refreshed without manual effort. The concept makes presentations a living part of an organization's data infrastructure.
Learn moreB2B events (business-to-business events) are gatherings organized for professional audiences with the primary goal of enabling business relationships, knowledge exchange, or commercial transactions between companies. They include trade fairs, industry conferences, sales kick-offs, partner summits, and executive roundtables. B2B events are high-stakes environments where presentations, credibility, and networking directly influence business outcomes. Preparation, brand consistency, and data-driven messaging are critical for success.
Learn moreTask decomposition is the process by which an AI agent breaks down a complex, high-level goal into a sequence of smaller, manageable subtasks. The agent identifies dependencies between steps, determines what tools or data each step requires, and decides which subtasks can run in parallel. Task decomposition is a fundamental capability of Agentic AI systems and is central to how an agent loop executes multi-step workflows reliably.
Learn moreAn AI agent is a software system that perceives its environment, reasons over context, and autonomously takes actions to achieve a defined goal — without requiring a human to trigger each individual step. Unlike a chatbot that responds to a single prompt, an AI agent plans, executes multi-step tasks, uses tools, and adapts based on the results it observes. AI agents can operate independently or as part of larger multi-agent systems, and are increasingly embedded in enterprise software to automate complex workflows across departments.
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