AI document summaries are on their way - do you want to get started?
AI document summarization will soon be part of FirstAgenda Prepare. But how does it work and what does it mean for data security and your meeting preparation?
Here you'll find everything you need to present the new feature to your colleagues - with knowledge and insights into the development.
What is AI?
Your guide to artificial intelligence in the workplace
What is AI?
AI stands for "artificial intelligence" and refers to technologies that enable computers to mimic human thinking and decision-making. This means that a computer can analyze data, understand language, learn from experience and suggest solutions - all without human intervention.
(Bringsjord, Selmer and Naveen Sundar Govindarajulu, Fall 2018; B.J. Copeland, 2025)
Where was AI created?
AI stands for "artificial intelligence" and refers to technologies that enable computers to mimic human thinking and decision-making. This means that a computer can analyze data, understand language, learn from experience and suggest solutions - all without human intervention.
(Bringsjord, Selmer and Naveen Sundar Govindarajulu, Fall 2018; B.J. Copeland, 2025)
When did you first see AI?
The first AI systems emerged in the 1950s and 60s, but it's only in the last 10-15 years that AI has become powerful enough to solve complex tasks such as image recognition, language analysis and automated decision-making. The biggest breakthroughs have happened since 2015 with the emergence of so-called language models and large-scale machine learning.
(Google DeepMind, 2025; Nestor Maslej, Loredana Fattorini, Raymond Perrault
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Nestor Maslej, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Tobi Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, Sukrut Oak. "The AI Index 2025 Annual Report." AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2025. The AI Index 2025 Annual Report by Stanford University is licensed under Attribution-NoDerivatives 4.0 International.
Why use AI at work?
AI can help automate repetitive tasks, analyze large amounts of data at lightning speed, and make sense of complex content. In a public sector context, this means that employees can spend their time on strategy and decision-making instead of manually searching for information. That's exactly why we at FirstAgenda have chosen to use AI to generate summaries of documents - so you show up well prepared and with an overview, without having to read everything from cover to cover.
AI is older than you think! Although AI feels like a new technology, the very concept of "artificial intelligence" was actually invented way back in 1956 by mathematician John McCarthy. So the first ideas and experiments with AI date back more than 60 years, although the big breakthroughs have come more recently!
Did you know that...
Behind the AI summary in FirstAgenda Prepare
You press the 'AI summary' button in FirstAgenda Prepare when you open a meeting with attachments.
The summary is returned to Roburef, which sends it back to FirstAgenda Prepare.
The meeting material is automatically sent to our partner Droids Agency and their AI platform, Roburef.
Roburef assesses the content and sets rules for how the summary should be created
Content and rules are sent to Mistral AI in France, where the AI processes the text.
Mistral AI creates the final summary based on Roburef's guidelines.
Within 24 hours, you'll receive the summary, directly in the meeting - ready to use.
AI can read thousands of pages in seconds.
Imagine having to sift through a thick stack of documents in seconds. AI systems are able to process and analyze massive amounts of data, including thousands of pages of text, at a speed and scale that surpasses human capabilities. This enables them to identify key information, patterns and trends that would take a human hours, days or even weeks to find. According to research in big data analytics with artificial intelligence, the goal is to automate data analysis and make the process faster, more accurate and more scalable. This ability is the foundation of AI summarization tools that can condense complex information into an easily digestible overview.