
TALLINN – AI in Office Work
- When
- Thursday 19.11.2026 · 14:00–17:00Local time (Europe/Tallinn)
- Where
- Kadaka Konverentsikeskus (Kadaka Konverentsid OÜ), Kadaka tee 4, 10621 Tallinn, Harju maakond
- Organizer
- TopAI OÜ
Time: 19.11.2026, 14:00–17:00
Trainer: Henn Sarv
Format: Workshop 2 (more advanced; follows Workshop 1)
Audience: Office workers, specialists, project managers, assistants, coordinators, small business owners, and anyone who wants to use AI to tackle more complex work tasks and learn about the associated risks and safe working practices.
AI can do much more than answer questions or draft emails. It can become an assistant that helps organise extensive documents, compare different data sources, plan work processes, and handle tasks made up of several steps. But the more we entrust to AI, the more important data protection, the reliability of results, and personal responsibility become.
In this workshop, we will explore how to use AI to support more complex office work, create customised AI assistants, and combine different tasks into end-to-end workflows. We will also look at the risks of using AI in the workplace, how to protect confidential information and personal data, and how to prevent problems caused by incorrect or misleading results.
The workshop is suitable both for people who have attended a previous AI workshop and for those with some independent experience using AI. Attending the first workshop is not a prerequisite.
In the workshop, you will learn to:
· Use AI to solve multi-step tasks that involve combining information retrieval, analysis, comparison, and presentation of results.
· Work with extensive documents, spreadsheets, and information from different sources, identifying contradictions, missing information, and important connections.
· Create and customise personal AI assistants for recurring work tasks, assigning them tasks, instructions, and the knowledge they use.
· Understand the differences between personal AI services and those managed by an organisation, and assess what work-related data may be shared in different environments.
· Recognise information security and privacy risks associated with AI use, including data leaks, misleading content, and manipulative instructions.
· Check the accuracy, sources, and reliability of AI-generated results, and develop safe working practices in which important decisions remain with people.
In practical exercises, we will tackle multi-step office tasks, try creating AI assistants, analyse documents, and compare different ways to use data safely. We will also examine real cases in which AI use has caused information security problems or led organisations to introduce additional restrictions.
Outcome: Participants will be able to apply AI to more complex work tasks, develop AI-based working practices that suit them, and consciously assess and mitigate the risks associated with using them.
Practical arrangements
· This is a practical, participant-centred workshop. We will work on personal laptops and try out different solutions using sample tasks and, where possible, situations drawn from participants’ own work.
· You will receive a collection of sample tasks (prompts), practical workflows, and recommendations for using AI safely.
· Bring a laptop. Access to an AI application (ChatGPT, Copilot, Gemini, Claude, or another) is recommended. A paid version allows for more in-depth experimentation with file analysis and the creation of customised AI assistants.
· When using work materials, you must follow your organisation’s information security and data protection requirements. Prepared sample data may also be used in the exercises.
Participation is free. Completing a feedback form is required. There are 40 places in the workshop.
The workshop is led by Henn Sarv – consultant, expert, practitioner, and trainer; IT Koolitus Trainer of the Year 2022; MCT (Microsoft Certified Trainer) since 1996; Microsoft MVP in the field of data science from 2004 to 2018.
The workshop is part of Arunädal and the Eesti.ai initiative “The Most AI-Savvy Nation”.
Information comes from the event source. Check changes with the organizer.