Gilbane’s AI Strategy: A Glimpse Into Preconstruction Trends
General contractors understand that preconstruction is a critical phase where speed and accuracy can make or break a bid. Gilbane's recent focus on AI-powered workflows highlights how technology is addressing long-standing inefficiencies in this area.
This shift isn’t just about adopting digital tools; it’s about tackling specific challenges like manual drawing takeoffs. These processes are time-consuming and error-prone, often delaying subsequent steps in the bidding process.
The Problem With Manual Takeoffs
Manual takeoffs require significant time and effort, diverting resources from other critical tasks like refining bids, negotiating subcontractor prices, or evaluating go/no-go decisions. For many contractors, especially smaller firms, the cost of advanced tools can be a barrier, leaving them reliant on outdated methods.
Even for larger firms, manual processes can create inefficiencies that compound over multiple projects. In a competitive market, these delays can put firms at a disadvantage.
AI Takeoff: A Faster, Smarter Alternative
AI tools are transforming how contractors approach takeoffs. These tools can extract quantities from drawings much faster than manual methods, enabling teams to focus on higher-value tasks. AI systems can identify room areas, wall lengths, and fixtures like doors and windows across various trades, streamlining the estimation process.
Illustrative example — A contractor using AI for takeoffs on a mid-sized renovation project could save significant time compared to manual extraction, allowing for faster bid submission and potentially more accurate estimates.
The Bigger Picture: Integrated Workflows
AI is not just about speed; it’s enabling more integrated preconstruction workflows. By automating tasks like rate lookups, subcontractor bid normalization, and real-time updates to the Bill of Quantities (BOQ), AI tools help teams maintain consistency and reduce manual errors.
For instance, updating a single rate in a spreadsheet can automatically adjust related line items, eliminating the need for repetitive manual updates. This level of integration allows teams to focus on strategic decisions rather than administrative tasks.
Why Smaller Contractors Should Take Note
The construction industry is becoming increasingly polarized. Larger firms are leveraging AI to streamline their processes and gain a competitive edge, while smaller firms risk falling behind by sticking to manual methods. Missing deadlines or submitting less competitive bids can lead to lost opportunities, making it essential for smaller contractors to explore affordable AI solutions.
Practical Takeaways for Preconstruction Teams
- Test AI Tools on a Small Project: Start with a manageable project to evaluate how AI can improve your workflow.
- Speed Up Takeoffs: Use AI to handle drawing extractions, freeing up estimators for strategic tasks.
- Integrate Workflows: Explore tools that combine rate analysis, subcontractor bid leveling, and drawing revisions into a cohesive process.
Common Mistakes to Avoid
- Rushing Implementation: Gradual adoption with proper training ensures smoother integration.
- Overlooking Accuracy: Prioritize tools with a proven track record to balance speed and precision.
- Underestimating ROI: Evaluate the potential savings and efficiency gains before dismissing AI tools.
The Bottom Line
Gilbane’s adoption of AI reflects broader trends in preconstruction, emphasizing speed, accuracy, and integration. For contractors still relying on manual workflows, adopting AI tools could be a critical step toward staying competitive in an evolving industry.
