Sales decks, board updates, training materials: many companies still spend hours manually
putting together PowerPoint presentations – copying numbers, adjusting slides, checking
brand guidelines. AI in PowerPoint promises to fix this, but most tools only deliver isolated
blocks of text, with no real understanding of how a presentation actually works.
LIZ AI picks up exactly here: built on a Large Presentation Model, LIZ AI automatically combines company knowledge, audience context, live data, and brand guidelines into finished, presentation-ready slides – taking a noticeable load off companies' everyday work. To learn exactly what sets a Large Presentation Model apart from a classic language model, read our comparison Large Presentation Model vs. Large Language Model.
It gets more interesting once you see how that plays out in everyday work. The following five LIZ AI use cases in practice show typical situations where exactly what used to cost employees hours of their time now gets automated.
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Contents
1. Sales: Sales decks that automatically adapt to every audience
Sales teams spend a lot of time putting together a custom deck for every customer meeting: updating product information, picking the right references, pulling numbers from the CRM. The automated presentation preparation takes over exactly this step – it turns existing product and customer knowledge into an on-brand sales deck tailored to the audience, in real time. Sales reps spend the time they gain on the conversation itself instead of on building slides beforehand. This is a typical example of how LIZ AI, powered by a Large Presentation Model, turns company knowledge into presentation-ready form in real time.
2. Management reporting: Board decks that update themselves overnight
Monthly management reports and board presentations require the same manual work in many companies, month after month: pulling current metrics from various systems, rebuilding tables and charts, checking formatting. With automatic presentation updates, the relevant slides update themselves in the background as soon as the underlying data changes. Whoever walks into the board meeting in the morning already has the current state in front of them – with no last-minute work the night before. If the revenue figure changes in the ERP system, for example, the corresponding KPI slide – chart included – updates itself automatically, with no one needing to touch the deck manually.
3. Training & workshops: Consistent materials across many trainers
As soon as multiple trainers maintain their own slide decks, content and corporate design start to drift apart over time – everyone adapts slides slightly differently. automated brand protection ensures that every slide created or edited automatically stays within brand guidelines, no matter who created it. For training and L&D departments, that means consistent quality without every slide needing manual sign-off. If a trainer deviates from corporate design on colors, logo placement, or fonts, LIZ AI detects and corrects it automatically before the slide ever reaches the course.
4. Investor relations: Quarterly updates with current numbers and no risk of errors
Investor updates are among the presentations with the highest demands on accuracy and consistency – and often among the most stressful, because numbers keep changing right up until the meeting. Automated presentation preparation pulls current financial metrics directly into the presentation, consistently formatted. That reduces not only the time spent, but also the risk of outdated or incorrect numbers slipping through. Quarterly results, growth metrics, or cash flow forecasts get automatically translated into consistent charts and tables – in exactly the same format as last quarter, so investors can compare developments at a glance.
5. Internal communications: All-hands presentations built from distributed company knowledge
Company-wide meetings often need input from many departments – updates scattered across different documents, emails, and tools. LIZ AI pulls this distributed information together and turns it into a structured, consistent presentation, instead of one person having to gather everything manually. For company meetings, that means less coordination effort and one consistent narrative, even when the content comes from many different sources. Instead of asking every department for their slides weeks in advance, LIZ AI pulls the relevant updates directly from connected systems and brings them into one shared format – even when HR, sales, and product all use completely different templates.
6. What these examples have in common
Each of these five use cases is a typical example of how LIZ AI works thanks to a Large Presentation Model: LIZ AI doesn't just handle a single formatting task – it covers the entire path from distributed company knowledge to a finished, on-brand presentation. That's exactly what sets a Large Presentation Model apart from a Large Language Model. In early use cases, this has led to time savings of up to 80 percent compared to manual slide design.
