Term explanation
An autonomous agent is an AI system that independently pursues goals, makes decisions, and executes tasks over time — without requiring continuous human direction. What distinguishes an autonomous agent from a simple automation script is its ability to reason, adapt to new information, and handle unexpected situations. Autonomous agents track progress toward a goal across multiple steps and sessions, making them suitable for complex enterprise workflows such as automated reporting, content updates, and communication management.
LIZ AI functions as an autonomous agent for enterprise presentations: it independently manages the full slide lifecycle — updating data, enforcing brand rules, and preparing decks — while teams focus on higher-value work.
Learn more →Effect Options in PowerPoint allow presenters to customize how animations and transitions behave — including direction, timing, sequence, and the degree of motion applied. For example, a Fly In animation can be set to arrive from the left, right, top, or bottom. Effect Options give presenters precise control over the appearance and feel of animations without requiring advanced design skills, making it easy to fine-tune motion effects to match the tone and pacing of a presentation.
Learn moreThe Slide Sorter view in PowerPoint shows thumbnails of all your slides in horizontal rows.The view is useful for applying global changes to several slides at once. Also it's useful for deleting and rearranging slides.
Learn moreAn Agentic Enterprise is an organization in which AI agents autonomously handle entire workflows — including thinking, deciding, and communicating — on behalf of teams. Rather than using AI as a passive assistant, the Agentic Enterprise embeds autonomous agents into its core processes: data updates, content production, and stakeholder communication all happen with minimal human input. The concept represents a shift from AI-assisted work to AI-orchestrated operations.
Learn moreAI hallucination describes the phenomenon where an LLM confidently produces content that is factually incorrect, fabricated, or entirely made up — presented as though it were true. Hallucinations occur because language models generate statistically probable text based on training patterns, without access to verified facts. In enterprise contexts, hallucinations in presentations are a serious risk. AI grounding — anchoring outputs to verified company data — is the primary strategy for preventing hallucinations in production AI systems.
Learn more
