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Ice Breaker Workshop

Nacorm x KLAI

 4 Sessions to Make AI Understandable and Actionable for Construction Professionals

AI, big data, and regulatory frameworks generate a lot of interest — but they often remain abstract when it comes to real-world application.

With our 4 complementary sessions, turn these complex topics into operational levers, engage your teams around your expertise, and leave with a clear, validated, and directly actionable framework.

 

By the end of the program, you’ll walk away with:

  • A structured assessment of your current practices
  • Concrete tools: templates, checklists, and targeted recommendations
  • A validated architecture, designed to be actionable and aligned with your operational goals

 

This method is designed for all stakeholders in the construction and real estate sectors:

  • Project managers, BIM managers, data engineers
  • Innovation and digital transformation leads
  • Any team ready to move from theory to action

 

Workshop Overview:

Session 1: Data
This interactive session will help you master data usage throughout its lifecycle. You’ll learn how to structure, organize, qualify, and ensure the quality of your data to unlock its true informational value. With practical tools and concrete examples, you’ll leave with proven methods to ensure data reliability and boost your project efficiency, with or without the use of AI.
 

Program

Theoretical Session (1h30)

  • Introduction to data and its lifecycle
    • Types of data: structured, unstructured, geometric, alphanumeric.
    • The data lifecycle in project environments: collection, organization, sharing, and use.
  • Fundamentals of data structuring and organization
    • Tools and methods for effective data structuring.
    • How to qualify data to ensure its relevance and reliability.
  • Data quality: key criteria and best practices
    • Quality indicators: accuracy, consistency, completeness, accessibility.
    • Validation and control processes.
  • Data valorization: understanding its impact on projects
    • Optimizing data use for decision-making and project management.
 

Practical Session (2h00)

Hands-on application of our DATA Framework to your company’s activities and projects through the following steps:
  • Identifying resources
  • Structuring and qualifying data
  • Data valorization
 
Session 2: AI
This interactive session will introduce you to the transformative potential of AI in your business. You will learn to understand what AI can do, identify the core problem to solve, and define the expected operational outcome. Based on your business use cases, you will design AI architectures tailored to your data and professional context, integrating trust mechanisms throughout the process.
 

Program

Theoretical session (1h30)

  • Introduction to AI
    • understanding its transformative potential of AI and the resources it requires.
    • How AI uses data
  • Understanding AI’s capabilities
    • Presentation of the Human Capabilities Matrix of AI.
    • Processing inputs and analyzing outputs.
    • Identifying applicable business use cases.
  • Implementing AI in a project
    • Key steps for deploying AI.
    • Designing AI pipelines based on outcomes.
  • Integrating trust into an AI project
    • Mechanisms to ensure reliability, transparency, and validation of AI results.
    • Strategies to monitor and assess AI’s impact on the project.
 

Practical session (2h00)

Hands-on application of our AI Framework to your company’s activities and projects, following these steps:
  • Identifying tasks to automate.
  • Specifying AI technologies.
  • Designing the architecture.
 
Session 3: Ethics
This interactive session will help you frame ethics in a world where AI influences cognitive mechanisms and decision-making processes. You will explore the risks of bias and logical fallacies. Through case studies, you will learn to identify and manage these ethical dilemmas while integrating principles of transparency and accountability into AI implementation.
 

Program

Theoretical session (1h30)

  • Introduction to ethics
    • Framing ethical questions.
    • identifying key ethical issues.
  • Biases and logical fallacies
    • Types of bias and logical fallacies.
    • Analyzing their impact and consequences.
  • Ethical dilemmas in decision-making
    • Exploring common dilemmas.
    • Reflecting on the impact of automated decisions.
  • Ethical principles for AI development
    • Presentation of ethical principles for AI: transparency, accountability, privacy, explainability, and interpretability.
    • Importance of embedding these principles from the design stage.
 

Practical session (2h00)

Hands-on application of our Ethics Framework to your company’s activities and projects, following these steps:
  • Interactive exploration of biases and logical fallacies.
  • Identifying the biases and logical fallacies specific to your AI project.
  • Developing ethical solutions and safeguards.
Session 4: Legal
This interactive session will help you understand the legal challenges of AI in your professional practice. You will explore international AI regulations and learn how to manage associated risks and liabilities. You will leave with tools to develop sound legal practices. This module will prepare you to operate in a complex and constantly evolving legal environment.
 

Program

Theoretical session (1h30)

  • Introduction to the legal impact of AI
    • Framing emerging legal issues.
    • Identifying new responsibilities, rights, and obligations related to AI.
  • International AI regulations
    • Comparing international approaches to AI regulation.
    • Analyzing the implications of these regulations.
  • Legal risks and liabilities of AI
    • Understanding legal risks related to AI usage.
    • Exploring liability mechanisms in the context of AI systems.
  • Contractualizing AI
    • Introduction to contractual best practices for AI integration.
    • Ensuring transparency and legal security.
 

Practical session (2h00)

Hands-on application of our Legal Framework to your company’s activities and projects, following these steps:
  • Framing professional liability.
  • Analyzing the legal impact of your AI project.
  • Defining practical and contractual solutions.
Book a preparation meeting Contact us
Overview
Instructors : Candice Hassine, Nabil Sadeg
Duration : 4 x 3h30
Sessions : 4
Language : French, English