Large-scale construction projects are inherently associated with challenges such as schedule delays, increased execution costs, and lack of coordination among various project stakeholders. These issues not only reduce project efficiency but sometimes lead to its suspension or complete failure. In recent years, the emergence of Artificial Intelligence (AI) as a powerful tool in the construction industry has revolutionized the planning, scheduling, and cost management processes.
This article examines the role of AI in forecasting, analyzing, and optimizing time and cost in construction projects and introduces practical applications of this technology in the building industry.
Traditional Challenges in Time and Cost Management
- Inaccurate estimations during the design phase
- Delays in the supply of materials or manpower
- Lack of coordination among contractors
- Sudden increases in material prices
- Human errors in planning and forecasting
The Entry of Artificial Intelligence into Construction Projects
AI, through machine learning algorithms, big data processing, and intelligent predictive systems, is capable of identifying complex patterns and providing smart solutions for optimizing construction projects.
Key Applications:
- Predicting project delays using historical data analysis
- Managing resources and workforce through adaptive algorithms
- Optimizing construction schedules using neural networks and genetic algorithms
- Forecasting additional costs and controlling financial deviations
- Automating reporting and creating intelligent management dashboards
Global Experience in AI Adoption in Construction
In recent years, international companies across the U.S., Europe, and Southeast Asia have used AI to reduce average project delays by up to 20% and save up to 15% in costs. Deep learning algorithms are now replacing traditional software by identifying project bottlenecks, scenario modeling, and simulating real-time schedules.
As the IT arm of Aras Holding, Aras IT has implemented customized AI platforms in construction and infrastructure projects, providing tools for accurate schedule forecasting, cost analysis, and proactive alerts for project managers. These solutions have delivered tangible results, especially in EPC projects in Dubai and other international regions.
Technologies and Tools Used
- Machine Learning: To analyze project histories and build predictive models
- Computer Vision: For monitoring project progress through daily image analysis
- Natural Language Processing (NLP): To examine textual reports and identify risks
- AI-Driven Scheduling Software: Tools such as ALICE and nPlan for dynamic and adaptive scheduling
The use of AI is no longer optional — it is a necessity in the management of modern construction projects. Companies that have embraced this path have gained a lasting competitive advantage. The future of construction is not about working harder, but working smarter — and artificial intelligence is the key to this transformation.
Through its subsidiary Aras IT, Aras Holding offers international AI-driven solutions for optimizing construction projects in Dubai and other global markets. With a deep understanding of project management challenges, this company delivers data-driven solutions to reduce costs and execution times and has achieved notable success in international construction projects.
In 2025, the use of artificial intelligence in construction management has become essential. Aras Holding, led by Aras IT, has made significant strides in the digitalization of the building industry in Dubai and beyond. By combining technical knowledge, smart algorithms, and real-world construction experience, this global group has ushered in a new era of cost and time management in the construction sector.