Case Study: Project management in construction using AI (pre-development stage)

Maryna Melnyk

02 April 2026

Client: LLC “ZARS”
Format: corporate consulting
Subject: Project management in construction
Duration: 28 hours
Coach: Marina Melnik

Context

Construction projects are complex systems with a large number of participants, dependencies, and risks.

Key decisions regarding:

• deadlines and budget
• volume and quality of work
• architectural and technical approaches
• development planning and organization
• are accepted at the predevelopment stage.

At the same time:

• Mistakes in the early stages are the most expensive
• lack of a systematic approach leads to delays and cost overruns
• classic planning approaches do not provide sufficient flexibility

Task

• to form a systematic approach to construction project management even before the start of implementation
• structure the future project (stages, dependencies, roles)
• practice key PM tools on a real case
• integrate AI into planning, analysis and decision-making processes

Decision

A practical project management program was implemented, where all tools were immediately applied to a real project at the pre-development stage.

The focus of the work:

Project structuring

• formation of requirements and design documentation
• building a WBS (work breakdown structure)
• definition of stages and execution logic

Planning

• calendar and network planning
• critical path definition
• coordination of contractors' work

Budget and control

• budget structure
• control of changes and deviations
• cost management approach

Communication and management

• working with stakeholders
• building a communication model
• coordination of project participants

Risks and changes

• risk identification
• construction of a risk matrix
• project change management

Using AI in the project

AI has been used as a tool to enhance management decisions:

• structuring complex tasks and documentation
• analysis of dependencies between stages
• preparation of solution options
• rapid development of scenarios (“what-if”)
• support in working with documents and communications

The focus was not on generation, but onenhancing thinking and decision-making speed

Result

The program included:

• the project is structured before the start of implementation
• the logic of work execution and key dependencies have been formed
• potential risks identified at an early stage
• an approach to budget and change management is laid out
• a systemic vision of project implementation has been formed

The use of AI has enabled the project manager to see how to analyze options faster; identify risks in advance; make more informed decisions; improve quality by establishing clear criteria before construction begins; and reduce the potential for changes, cost overruns, and delays.

FAQ