Business Analysis with AI: From Prompt to an Optimized Process – Extended Version

Course code: ITBAGAILLM

The IT Business Analyst plays a key role in the implementation of IT innovations. In the Czech Republic, there are tens of thousands of analysts and many other IT professionals who perform analysis as part of their job responsibilities.

The latest AI technologies have the potential to significantly change the way various professions operate. This trend will not bypass the field of IT Business Analysis. For experts and newcomers who want to remain competitive in the job market, it is essential to understand and use new AI tools.  The use of AI increases productivity and efficiency in performing analytical work while also making it easier for beginners to enter this profession. Knowing how to use AI tools in IT business analysis is therefore becoming an essential digital skill for every professional.


830 EUR

1 004 EUR including VAT

The earliest date from 20.10.2026

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Course Dates

Starting date: 20.10.2026

Place : Praha

Type: In-person

Course duration: 2 days

Language: cz/sk

Price without VAT: 830 EUR

Starting date: 08.12.2026

Place : Praha

Type: In-person

Course duration: 2 days

Language: cz/sk

Price without VAT: 830 EUR

Register

Starting date: Upon request

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 830 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
20.10.2026 Praha In-person 2 days cz/sk 830 EUR
08.12.2026 Praha In-person 2 days cz/sk 830 EUR Register
Upon request In-person/Virtual 2 days en/cz 830 EUR Register
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Course Description

A two-day hands-on training course that will teach you how to integrate the entire business analysis process with AI tools into a functional work procedure — from BACCM through process maps and test scenarios to handoff to JIRA. Participants work on practical assignments throughout the entire training, not just in a single reserved exercise. Compared to the basic version, you’ll have more time dedicated to each step, and you’ll also set up your own AI assistant for your team.

Training Objectives

  • Using AI in business analysis – you’ll integrate AI as a natural part of your daily analytical work
  • Mastering prompting for analysts – you’ll learn the RCTF framework and how to formulate prompts that AI understands precisely
  • Launching AI on a controlled knowledge base – you’ll learn how to limit the data the AI works with, thereby reducing the risk of incorrect answers
  • Creating AI assistants – you’ll use AI to automatize tasks you perform repeatedly
  • Practical takeaways – you’ll leave with prompts and procedures you can use the very next day on your own project

 

 

Target Audience

  • Business analysts who want to integrate AI throughout the entire analytical process and have more time for their training.
  • Also suitable for IT business analysts, business architects, and product managers involved in preparing project specifications.

 

Course Structure

0. Introduction and overview of AI tools

  • Why AI and why now – what large language models can and cannot actually do
  • Overview of tools and when to use which one
  • Platforms for individual tools – browser, desktop app, smartphone, integration within company tools
  • Basics of configuring and personalizing AI for your own work style
  • Cheatsheet: Which AI is best for which type of output (process models, requirements, tests, mockups…)
  • All examples and procedures in this course are tailored so they can be implemented in all common AI tools (MS Copilot, Google Gemini, ChatGPT, Claudem)
  1. How to Give Tasks That AI Understands
  • Why the Quality of the Prompt Matters (Weak vs. Strong Prompts in Action)
  • The RCTF Framework: Role – Context – Task – Format
  • Action Verbs: How a Single Word Can Change the Entire Output
  • Iteration and Refining the Output

2. Business analysis with AI in action

In this section, we’ll tackle real-life analytical tasks and demonstrate how to effectively apply AI and the knowledge we gained in the previous section. We’ll focus on a selection of the following topics:

  • BACCM based on a brief assignment
  • BPMN AS-IS/TO-BE process map
  • GAP Analysis – Structured Gap Table with Priorities
  • Business Rules and Decision Table – Rules Converted into a Decision Table
  • Business Requirements and BRD – From a Single Stakeholder Statement to a Complete Document
  • Use Case Specifications, Test Scenarios, and Data
  • Creating Epics and User Stories from a description
  • Using AI in MS Office Tools

3. AI for Teamwork and Repetitive Tasks

  • How to share successful AI tools with your team
  • How to provide colleagues with an AI tool featuring a defined knowledge base (NotebookLM, Copilot notebooks)
  • We’ll demonstrate how to automate repetitive analytical tasks—we’ll build an AI assistant. Types of assistants we’re building:
  • Generating a User story or task from a project description
  • Assistant with a knowledge base for specific regulations (DORA, AI Act, etc.)
  • Checking the completeness of an analytical document
  • Assistant to help you prepare for complex meetings
  • Advisory panel that provides multiple perspectives on a given topic
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