The Rise of Agentic AI in Engineering & Construction

Artificial intelligence is moving beyond isolated productivity tools. In the Architecture, Engineering and Construction (AEC) sector, the emergence of agentic AI is opening the door to a new way of managing projects, connecting workflows and supporting complex decisions across the project lifecycle.

Unlike traditional AI applications designed for specific tasks, AI agents can coordinate activities across design, engineering, procurement, planning, project controls and field execution. They can gather information from multiple systems, identify potential issues, prepare recommendations and route decisions to the right teams — while keeping human expertise at the center of critical decisions.

From isolated tasks to connected workflows

Construction projects generate enormous amounts of information: drawings, specifications, schedules, RFIs, procurement records, cost data, field observations and project documentation.

Agentic AI has the potential to connect these fragmented sources of information.

For example, when a construction issue occurs on site, AI agents could compare field information with the latest engineering drawings and 3D models, review procurement data and schedules, assess potential cost and time impacts, and present several possible courses of action to project teams.

This can significantly reduce the time spent searching for information and coordinating between different functions.

Transforming project delivery

The potential applications extend across the entire project lifecycle:

• Estimating: supporting bid analysis, benchmarking and pricing scenarios.
• Design & Engineering: reviewing specifications, identifying constructability issues and supporting design checks.
• Planning & Procurement: assisting with scheduling, sequencing, material availability and procurement coordination.
• Project Controls: supporting cost forecasting, change management, progress tracking and risk identification.
• Construction: helping analyze field observations, quality issues and safety information.
• Project Handover: organizing documentation and preparing information for maintenance and asset management.

The objective is not simply to automate individual tasks. The greater opportunity lies in connecting workflows end to end, allowing information to move more efficiently between teams and project stages.

Human expertise remains essential

The rise of agentic AI does not eliminate the role of engineers, planners, project managers or construction professionals.

Instead, it can shift their focus toward the activities where human judgment is most valuable: evaluating risks, making critical decisions, managing stakeholders and taking accountability for project outcomes.

McKinsey estimates that AI could potentially automate a significant share of nonphysical work in AEC, including up to 50% in architecture and engineering and 39% in construction.

The challenge will therefore be to determine which activities should be human-led, AI-supported or increasingly automated.

Data will become a strategic asset

For agentic AI to deliver lasting value, access to reliable project data will be critical.

AEC companies already possess vast archives of drawings, RFIs, specifications, schedules and project reports. The next step is turning this information into structured, reusable knowledge that AI systems can learn from and support.

This could also transform BIM from a static project deliverable into a continuously updated source of project intelligence, connecting design information with progress, materials, schedules and performance throughout the asset lifecycle.

A new era for AEC

Agentic AI represents a broader shift in how engineering and construction companies can operate. The opportunity is not simply to work faster, but to create more connected, consistent and data-driven project environments.

As AI agents become increasingly integrated into project workflows, companies that combine technology, engineering expertise, quality data and strong governance will be better positioned to improve project delivery while maintaining human accountability.

The future of AEC may not be about replacing professionals with AI. It may be about giving professionals intelligent systems that help them see more, coordinate faster and make better-informed decisions.

Source: McKinsey & Company — “How AI is reshaping the future of the AEC industry”