Business Analysis Using AI: From Requirements to Optimized Process – Expanded Version

Course code: ITBAGAILLM

The IT Business Analyst is a key role in the implementation of especially IT innovations. In the Czech Republic, there are several tens of thousands of analysts and many other IT professions who perform analysis as part of their work.

Newer AI technologies have the potential to significantly change the way individual professions work. And this cannot be avoided even by the profession of IT Business Analytics. To remain competitive in the job market, experts or newcomers to the craft need to know and use new AI tools.  The use of AI increases productivity and efficiency in the practice of analytical craft while making it easier for beginners to enter the profession. Being able to use AI tools in IT Business Analysis thus adds to the necessary digital skills of 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

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Starting date: 08.12.2026

Place : Praha

Type: In-person

Course duration: 2 days

Language: cz/sk

Price without VAT: 830 EUR

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Starting date: Upon request

Type: In-person/Virtual

Course duration: 2 days

Language: en/cz

Price without VAT: 830 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
20.10.2026 Praha In-person 2 days cz/sk 830 EUR Register
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 that teaches you how to integrate the entire business analysis process with AI tools into a functional workflow — from BACCM and process mapping to test scenarios and handover to JIRA. Participants work on real-world types of assignments throughout the training, rather than just in one dedicated exercise. Compared to the basic version, you have more time to work through each step and, in addition, you will set up your own AI assistant for the team.

Training Objectives

  • Using AI across the entire business analysis process — from BACCM and process analysis through requirements and testing to handover to JIRA
  • Mastering prompting and custom AI assistants — the RCTF framework and setting up a reusable AI assistant for the team
  • Practical outputs with more time for hands-on practice — more time for each use case, more complex assignments, and room for participants’ own questions

 

 

Target Audience

  • Business analysts who want to integrate AI throughout the entire analysis process and have more time for hands-on practice.
  • Also suitable for IT business analysts, business architects, and product managers involved in preparing requirements.

 

Course Structure

0. Introduction and Orientation in AI Tools

  • Why AI and why now — what large language models can and cannot actually do
  • Getting familiar with AI tools and when to use which one
  • Platforms for different AI tools — browser, desktop applications, mobile, and integrations with corporate tools
  • Basic AI setup and personalization to fit your own working style
  • Cheatsheet: which AI is best suited for which type of output (process models, requirements, tests, mockups, etc.)

All examples and methods in this course are designed to be applicable across all commonly used AI tools (MS Copilot, Google Gemini, ChatGPT, Claude).

1. How to Give AI Tasks It Can Understand

  • Why prompt quality matters (a live demonstration of a weak vs. strong prompt)
  • The RCTF framework: Role – Context – Task – Format
  • Action verbs — how a single word can change the entire output
  • Iterating and refining the output

2. Business Analysis with AI — Hands-On

In this section, we will work on real-world business analysis tasks and explore how to effectively leverage AI and the techniques covered in the previous section. We will select from the following topics:

  • BACCM from a brief assignment
  • BPMN process mapping — AS-IS / TO-BE
  • GAP analysis — a structured gap table with priorities
  • Business Rules and Decision Tables — translating rules into a decision table
  • Business Requirements and BRD — from a single stakeholder statement to a complete document
  • Use Case specifications, test scenarios, and test data
  • Creating Epics and User Stories from requirements
  • Using AI with MS Office tools

3. AI for Teamwork and Repetitive Tasks

  • How to share successful AI tools and workflows across the team
  • How to provide colleagues with an AI tool backed by a defined knowledge base (NotebookLM, Copilot Notebooks)
  • We will explore how to automate recurring analytical tasks by building an AI assistant. Examples of assistants we will build:
    • Generating a User Story or task from a brief
    • An assistant with a knowledge base focused on a specific regulation (DORA, AI Act, etc.)
    • Checking the completeness of an analytical document
    • An assistant to help you prepare for a challenging meeting
    • An advisory board that provides multiple perspectives on a given topic
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