From automated design to smarter permitting, AI is transforming the built environment. See how new tools are improving workflows and decision-making.
Artificial intelligence is transforming industries, and Haskell embraces AI’s potential to drive efficiency and innovation. Across the company, AI tools are helping teams optimize workflows, improve accuracy and save time. If you haven’t explored AI yet, now is the time – with reports of up to 25% increases in efficiency for construction management, integrating tools like ChatGPT to streamline research, writing and content creation.
According to recent reports, the AI Construction Technology Market is expected to grow from $4 billion in 2024 to more than $12 billion by 2030. A compounding adoption rate reflects these tools' potential to address long-standing challenges in the sector. So, how has Haskell explored this technological frontier, and what has the team learned?
UpCodes: Enhancing Compliance and Efficiency
Haskell’s 2024 pilot of UpCodes was a success, leading to the rollout of 25 licenses across the team. The tool simplifies navigating complex building codes, reducing the time spent searching for regulatory requirements and minimizing compliance risks. Team members have found it especially useful for cross-referencing codes across multiple jurisdictions.
Microsoft CoPilot: Early Results and Potential
Several teams are testing Microsoft CoPilot, an AI-powered assistant integrated into Microsoft 365 applications. Early results show improved efficiency in generating summaries, automating repetitive tasks and drafting documents. While the tool already demonstrates value, updates are expected to refine its capabilities, particularly in project management and collaboration.
Augment: Automating Electrical Design
Haskell is piloting Augmenta, an AI-driven design automation platform that optimizes electrical conduit and raceway layout. Led by Dysruptek and Electrical Engineer Anton Whiteford, the pilot aims to improve design accuracy and reduce manual work for electrical teams. The tool’s AI-powered automation has shown promise in accelerating design timelines while maintaining compliance with industry standards.
Advancing Architectural Ideation with AI
Ted Moore, Haskell’s Operations Manager for Healthcare Architecture, leads AI-powered visualization efforts within the Architecture team by training a custom MidJourney model for architectural ideation. By refining prompts and training on relevant architectural styles, the tool is helping designers rapidly generate conceptual renderings. This approach enhances creative exploration and speeds up the early design phase.
Pulley: Streamlining Permitting Challenges
Navigating complex permitting workflows remains a challenge across the industry. Pulley, an online permitting ecosystem, offers a centralized platform to expedite approvals and reduce administrative burdens. Haskell’s AI team, in collaboration with Dysruptek, has vetted the platform and is seeking a pilot project to evaluate its effectiveness.
InfoDrainage: AI-Driven Hydrology and Drainage Modeling
Civil Project Associate Arthur Bagourd and Haskell’s civil engineering team are testing InfoDrainage, an AI-powered hydrology and drainage simulation tool. The software allows engineers to model rainfall, assess hydrological impacts and optimize drainage solutions in the early design stages. By leveraging AI, the team can improve accuracy and efficiency in hydraulic modeling, ultimately supporting more sustainable and resilient infrastructure solutions.
Embracing AI’s Growing Role in the Industry
AI rapidly shapes the future of construction, engineering and architecture, and Haskell remains committed to exploring its potential. As adoption grows, so will opportunities to refine processes, enhance decision-making and push creative boundaries.
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