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AI in construction – analysis of documentation, cost estimates and schedules

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Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

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AI for construction work - You will learn how to apply AI to real construction tasks so you can review data faster, reduce mistakes, and support better decisions during tendering and project delivery.

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Faster tender document review - You will learn how to summarize tender documents quickly, spot participation requirements and risks, and build checklists that keep your bid preparation structured and clear.

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Quicker bidding workflow - You will see how AI can help you draft RFQs, review quantity takeoffs, and compare subcontractor offers, making it easier to collect and evaluate bid data efficiently.

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Stronger estimating support - You will practice reviewing takeoffs and work scope, identifying missing items, and preparing inputs for cost estimates, so you can catch gaps before submitting an offer.

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Better project execution control - You will discover how to use AI for site reports, progress tracking, daily planning, and trade coordination, helping you maintain clearer control over project execution.

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Effective prompting - You will learn how to write precise prompts, structure requests effectively, and avoid common mistakes, so AI gives you more accurate answers and more useful outputs.

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Cleaner document handling - You will master working with PDFs, quantity takeoffs, and contracts, summarizing content and finding key information faster to create practical checklists and procedures.

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Safe use of AI - You will understand AI limits, the risk of overinterpreting data, legal responsibility, and good usage practices, so you can apply these tools with greater confidence and care.

Training programme

1. Introduction to AI in the construction industry

  • what AI is and how it works in practice,
  • where it provides the greatest value in the investment process.
 

2. Analysis of tender documentation (SWZ) with the help of AI

  • summary of the SWZ,
  • identification of risks and conditions for participation,
  • tender checklists.

3. Automation of the quotation process

  • creation of RFQ to subcontractors,
  • analysis of the bill of quantities,
  • comparison of offers.

4. AI in cost estimating and analysis of the scope of works

  • analysis of bills of quantities,
  • identification of omissions,
  • support for the preparation of the cost estimate.

5. AI in investment project execution management

  • construction site reports,
  • progress analysis,
  • daily plan and interdisciplinary coordination.

6. Basics of prompt engineering

  • how to ask AI questions,
  • the structure of an effective prompt,
  • typical mistakes.

7. Working with documents in AI

  • analysis of PDFs, bills of quantities and contracts,
  • summarizing and searching for information,
  • building checklists and procedures.

8. Automation of work with AI

  • creating repeatable prompts,
  • query templates (e.g. RFQ, SWZ analyses),
  • use of AI in the daily work of the office and construction site.

9. Limits and safety of AI use

  • overinterpretation of data,
  • legal responsibility,
  • good practices for using AI.

What are the prerequisites for participating in the training?

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Basic construction process knowledge - You should understand the main stages of an investment project and know what tenders, project documents, cost estimates, and schedules are to follow the examples with ease.

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Document handling skills - You should be able to read and navigate documents such as PDFs, quantity takeoffs, contracts, or summaries so you can find the information needed during practical exercises.

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Basic computer skills - You should be comfortable using a computer, web browser, and text editor so you can complete tasks smoothly, write prompts, and work with the training materials.

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Industry experience - You should have practical exposure to site office work, bid preparation, estimating, or coordination so you can easily connect AI tools with your own daily responsibilities.