Faster strategic research - You will learn how to use AI for market and competitor research to gather sources faster, organize findings more clearly, and turn scattered input into insights you can use in project work.
Stronger document synthesis - You will learn how to review reports, documents, and source materials with AI support so you can summarize content faster, spot the key facts, and cut the time spent on manual reading.
Consulting-grade prompts - You will master prompts for strategic analysis, information synthesis, and recommendation building, so you can guide AI more precisely in the day-to-day work of a strategy consultant.
Practical data analysis support - You will see how to use AI for early data exploration, hypothesis generation, and turning data into conclusions and recommendations that are useful for clients and project teams.
Sharper client presentations - You will learn how to structure presentation storylines, draft slide outlines, and simplify executive messaging so you can prepare client-ready materials faster and with better focus.
Your own AI mini-agents - You will learn how to design simple AI agents for research, analysis, and material preparation, helping you reduce repetitive work and organize project tasks more effectively.
Safer use of AI - You will understand how to protect client data, verify model outputs, and apply responsible AI rules so you can use these tools without compromising quality, trust, or confidentiality.
Immediate use after training - You will work through realistic consulting scenarios and leave with prompts, workflows, and automation ideas that you can apply right away in your own project environment.
The role of AI in the work of a strategic consultant
Overview of AI applications in research, analysis and presentation
Limitations and risks of using AI in consulting projects
Best practices for working with AI in a corporate environment
AI tools supporting the consultant's work
Overview of the ecosystem of AI tools used in business analysis
Application of different AI models to different types of tasks
Selection of tools for research, analysis, presentation and communication
Prompt engineering in the consultant's work
Principles of creating effective prompts
Structuring queries for strategic analysis
Prompts for market and competitive research
Prompts for information synthesis and creating recommendations
Creating your own prompt templates for project work
AI in research and information analysis
Searching for and organizing information from multiple sources
Analysis of reports, documents and source materials
Summarizing and extracting key conclusions
Identification of trends, opportunities and business risks
Working with data with AI support
Initial exploration and interpretation of data
Generating hypotheses based on data
AI support in qualitative and quantitative analysis
Formulating conclusions and recommendations based on data
AI in preparing presentations and materials for the client
Structuring the presentation narrative
Creating outlines and conceptual slides
Adapting the message to different target groups
Translation and adaptation of presentations into other languages
Simplifying and shortening the managerial message
Custom AI agents supporting the consultant's work
The concept of AI agents in project work
Defining the roles and tasks of agents (research, analysis, presentations)
Designing simple agents supporting everyday work
Organizing work with multiple agents in one project
Security, confidentiality and responsible use of AI
Protection of sensitive data and client information
Principles of using AI in consulting projects
Verification of results generated by AI
Building internal rules for the use of AI tools
Practical workshop – scenarios from a consultant's work
Case: market and competitive research using AI
Case: analysis of a business problem and strategic recommendations
Case: preparation of a presentation for the management board
Case: creating a set of prompts and mini-agents for project work
Basics of consulting work - You should understand how research, analysis, and recommendation building work in project settings so you can easily apply AI tools to the tasks you already handle.
Information analysis skills - You should be able to read reports, organize findings, and work with source materials, because the training focuses on improving these tasks with AI support.
Comfort with data and presentations - You should have basic experience in interpreting data and preparing presentations or documents, as the training shows how AI can strengthen both areas of work.
Readiness for digital tools - You should be comfortable using a computer and common online office tools so you can focus on applying AI during the training rather than learning the work environment.
