How AI is Shaping the Future of the Construction

Published by Todd Weyandt on

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Episode Description

What does it take to truly innovate in construction? Should innovation be confined to one team or department, or should it become a collaborative, company-wide effort? In this episode of Bridging the Gap, Todd sits down with Trent Miskelly to explore these questions and the transformative power of how AI is shaping the future of construction. Together, they discuss how AI is revolutionizing workflows, enhancing project management, and unlocking new efficiencies. Trent also shares insights on the evolution and future potential of AI and robotics, as well as lessons from his journey with Document Crunch, a company dedicated to improving risk management in construction. Don’t miss this thought-provoking conversation about the future of innovation and technology in the industry!

Trent Miskelly is Chief Technology Officer at Document Crunch. He has over 20 years of experience in software development, product management, and operations, with a passion for building and scaling B2B software businesses. As the Chief Technology Officer at Document Crunch, he leads the strategy, execution, and growth of the first-of-its-kind solution transforming construction contracts and agreements into actionable insights, powered by a proprietary AI/ML engine. In addition to his role at Document Crunch, he is also an Operating Partner at Integr8d Capital, an early-stage venture capital firm that partners with extraordinary entrepreneurs driven to build enduring businesses.

Todd Takes

  1. Trust but Verify with AI
    While AI is shaping the future and offers powerful solutions, especially in construction, it’s essential to approach its use cautiously. Establishing benchmarks, validating outputs, and ensuring transparency in how data is used are critical for maintaining trust. Companies should embrace AI while building mechanisms to verify its accuracy and relevance to specific tasks.
  2. Finding Your “Thin Edge” to Innovation
    Start small and focus on low-hanging fruit to introduce AI into workflows. For instance, begin with manageable tasks like contract review or data summarization. These quick wins demonstrate AI’s value and build momentum for broader adoption, helping employees adapt and align with innovation efforts.
  3. Crowdsourcing AI Ideas from Employees
    Integrating AI into a company’s culture starts with engaging employees. Ask teams how they want to use AI to improve productivity and solve problems. By crowdsourcing ideas and fostering a collaborative environment, companies can democratize innovation and weave AI seamlessly into their DNA.

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