Term explanation
A multi-agent system is a setup in which several autonomous AI agents work together, each handling a specific part of a larger task. The agents can communicate, divide work, and combine their outputs to achieve goals that would be difficult for a single model. Typically, an orchestrator agent coordinates the workflow while specialist agents execute defined subtasks. In enterprise contexts, multi-agent systems allow complex workflows — such as researching a topic, drafting content, checking compliance, and distributing a presentation — to be fully automated.
The architecture behind LIZ AI is built on multi-agent principles: specialized agents handle data retrieval, content composition, brand compliance, and distribution — working in concert to deliver complete, production-ready presentations.
Learn more →Formal communication follows established channels, structures, and protocols within an organization or institution. It includes official announcements, board reports, written policies, structured presentations, and any message delivered through authorized pathways. Formal communication is carefully worded, documented, and often subject to approval or review processes. It ensures accountability and consistency, particularly in regulatory, legal, or governance contexts where clear records are essential.
Learn moreA .pps file is a legacy PowerPoint slideshow format that opens directly in presentation mode rather than the editing view. Double-clicking a .pps file launches the slideshow immediately, which made it popular for distributing finished presentations to audiences. The .pps format was later replaced by .ppsx as part of Office 2007's shift to an open XML-based file structure.
Learn moreGenerative engine optimization (GEO) is the practice of structuring content and digital presence to improve visibility in responses generated by AI systems — such as ChatGPT, Perplexity, Google Gemini, or Claude — rather than solely optimizing for traditional search engine rankings. Where SEO aims to rank on a results page, GEO aims to be cited inside an AI-generated answer. As AI-generated responses now account for over 60% of all search interactions, GEO has become critical alongside classical prompt engineering strategies for any organization that wants to remain visible in AI-driven search.
Learn moreHuman-in-the-loop (HITL) refers to a design pattern in AI systems where a human is involved at specific decision points to review, approve, or correct the AI's actions before they are executed. Rather than running fully autonomously, the system pauses at predefined checkpoints and waits for human confirmation — particularly for high-stakes or irreversible actions. HITL works alongside AI guardrails as a key governance principle in enterprise Agentic AI, balancing the efficiency of automation with accountability and human judgment.
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