Agentic AI

Agentic AI

Term explanation

Definition and meaning

Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.

LIZ AI is built on agentic principles: it orchestrates the entire presentation cycle — from pulling live data to updating slides and enforcing brand compliance — without requiring manual intervention at each step.

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Other glossary terms

Agentic Enterprise

An 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.

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Recall Questions

Recall questions ask participants to retrieve and state information they have previously learned or been told. They test memory and knowledge retention rather than understanding or analysis. In training sessions and educational presentations, recall questions at the end of a segment can reinforce key points and check how much the audience has absorbed. While they don't assess deeper comprehension, they are an efficient tool for checking baseline knowledge and reinforcing core facts.

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Learning Chunk

A learning chunk is a small, self-contained unit of educational content covering a single concept or skill. Chunking is a core principle of instructional design: breaking complex topics into manageable segments reduces cognitive load and improves retention. Learning chunks are the building blocks of microlearning programs and modular course structures, and work well in both digital and instructor-led training contexts.

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Display duration

Display duration in PowerPoint refers to the length of time a slide remains visible before automatically advancing to the next one. Setting a display duration enables auto-play presentations that run without manual input — useful for kiosks, event loops, or self-running demos. Duration settings are configured per slide in the Transitions panel and can be combined with timing controls on individual animations to choreograph a fully automated presentation sequence.

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