Any major investment is associated with risks, which is why financial models are required to calculate the investment attractiveness of building a residential building, business center, microdistrict, other facility, or even a whole group of facilities. Financial modeling allows you to evaluate current and future financial indicators, predict results, and make informed decisions.

What is the role of AI in calculating a financial model for construction?

Artificial intelligence (AI) plays an important role in financial modeling of architectural projects. It helps make informed decisions about budgets, timing, and resource allocation, as well as generate accurate cost estimates.

Advantages of AI in calculating a financial model for construction

Improving the accuracy of estimates and forecasts.

Traditional calculation methods often depend on the experience of specialists and are prone to errors, while AI analyzes historical data, identifies patterns, and makes more accurate forecasts for costs and deadlines.

Forecasting risks and deviations.

AI can identify potential delays and cost overruns, and model “what if” scenarios to assess the impact of changes on budget and schedule.
Optimize resource utilization.

AI helps to optimally allocate materials, equipment, and labor, which reduces costs and minimizes expenses.

Automate routine processes.

Artificial intelligence automates data collection and analysis, quality control, and material procurement, which speeds up decision-making and improves project manageability.

Examples of AI application in construction financial modeling

ALICE Technologies platform.

This is the world's first AI platform for selecting optimal construction options. ALICE uses generative algorithms to create and evaluate millions of schedule, resource, and task sequence options, allowing contractors to effectively plan projects and reduce the risk of budget and time overruns.

Akkio

A platform for forecasting cash flows without writing code, analyzes historical data from Excel or Google Sheets, builds models based on regression and time series.

Xero Analytics Plus

Uses AI to analyze past transactions, identify patterns, and predict future cash inflows and outflows.

AI in construction financial modeling is transforming the industry by improving budgeting accuracy, reducing the risk of cost overruns and delays, and optimizing resource utilization. Modern platforms and intelligent systems enable more efficient and sustainable projects, saving money and time. The implementation of AI is becoming a key factor in increasing the competitiveness of architectural firms and the successful delivery of large projects.