Applying AI to Construction -- AI in Construction Program (Part 5)

Explore AI uses in estimating, project management, QA/QC, and contract review, always with human oversight.

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Instructor: Hugh Seaton
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1 hour

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Last reviewed 10/2025

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Video Content

Course Description

This module brings AI in Construction to life, showing you how these advanced tools apply directly to your everyday tasks across various construction roles. We will explore the concrete capabilities of both Deep Learning and Generative AI, revealing how they can help classify items, recognize language, predict outcomes, and synthesize new content like text and images. You will learn how AI excels at handling "complicated" tasks—those with many steps but limited interactions—making it a valuable assistant for various workflows. However, we will also reinforce AI's key limits, such as its inability to handle true "complexity," apply human judgment, or understand the nuances of a job site.

Dive into specific applications for key construction functions. For estimating, AI can draft takeoffs, summarize specs, and flag document gaps, while humans focus on project risks and real-world negotiations. In project management, AI assists with submittal logs, schedule drafts, and meeting summaries, but human project managers remain crucial for real-time decisions and interpersonal judgment. We will also cover quality assurance and control, where AI streamlines requirement extraction and connects inspections to schedules, leaving critical oversight and judgment to the human QA team. For trade contractors, AI can draft material lists, track orders, and create daily task lists, but it never replaces the vital trade knowledge and on-site decision-making of skilled professionals. Finally, explore how AI revolutionizes contract, drawing, and specification review, automating document summaries, clash detection, and risk clause flagging, while ensuring human experts retain the critical role in negotiation and risk assessment.

Learning Objectives

  • Describe the core abilities of AI, like deep learning and generative AI.

  • Distinguish construction tasks AI can handle from those needing human judgment.

  • Identify ways AI supports construction roles (e.g., drafting, summarizing, tracking).

  • Explain why human judgment and intuition remain essential in construction.

Prerequisites

Continuing Education Course Credits

Course Title: AI in Construction

Course Number: PC-02-091725

Session Number: 1

Curriculum Group Name: AIA Providers

Credit: 5 AIA LU

Course Expiration Date: 09/24/2028

Procore's Continuing Education courses may qualify for continuing education credits with other professional organizations or fulfill state licensing requirements. If you are a member of a different organization, you can download your course completion certificate from your learning profile and report your completion yourself to the organization for potential credit. Please refer to the organization's continuing education requirements for course eligibility information.


AIA CES Provider statement

Procore Technologies is a registered provider of AIA-approved continuing education under Provider Number 40108059. All registered AIA CES Providers must comply with the AIA Standards for Continuing Education Programs. Any questions or concerns about this provider or this learning program may be sent to AIA CES (cessupport@aia.org or (800) AIA 3837, Option 3).

This learning program is registered with AIA CES for continuing professional education. As such, it does not include content that may be deemed or construed to be an approval or endorsement by the AIA of any material of construction or any method or manner of handling, using, distributing, or dealing in any material or product. AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.

AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.

Frequently Asked Questions

What specific skills will I gain to understand where AI is genuinely useful in construction?faq-icon

This module will help you recognize the precise capabilities of both Deep Learning and Generative AI, showing you when AI is ideal for tasks with lots of data and clear steps, and when it's not suitable for truly complex situations requiring human judgment. You will be able to identify "complicated" tasks that AI excels at, freeing you to focus on the "complex" aspects of your job.

Will this module explain how AI can help identify potential risks and gaps in project documentation?faq-icon

Yes, you will learn how AI can flag missing spec sections, highlight unusual site requirements, identify overlapping scope items between trades, and check for missing safety or insurance requirements in contracts. The module illustrates that AI supports risk management by identifying early warnings and conflicts, leaving human experts to assess true impacts and decide strategies.

Can you explain how this module will show me how to blend AI capabilities with human expertise for better project outcomes?faq-icon

The module consistently demonstrates that AI acts as a powerful tool to support human decision-making, automating complicated tasks to free up time for human judgment, intuition, and handling complexity. You will see how combining AI's data processing speed with human experience in estimating, project management, and quality control leads to reduced errors, faster decisions, and improved project outcomes.

What's Next

Continue your learning journey

This course is part of the “AI in Construction” Learning Path. Explore and Complete the additional Courses in this learning path below to complete your journey.

  1. Program Intro

    Welcome to AI in Construction! Explore program goals, module content, and what to expect in your learning journey.

    View Course Page Arrow pointing right
  2. The Basics of AI

    Dive into AI essentials and learn about Deep and Generative AI and how AI agents perform tasks.

    View Course Page Arrow pointing right
  3. Getting Started with Generative AI & Chatbots

    Learn prompting, context engineering, data security, and navigate AI's probabilistic nature.

    View Course Page Arrow pointing right
  4. Diving Deeper into Prompting

    Elevate your prompting skills. Explore Chain of Thought, creative prompting, and defensive strategies to maximize AI's potential.

    View Course Page Arrow pointing right
  5. Star-Shield

    You are here!

    Applying AI to Construction

    Explore AI uses in estimating, project management, QA/QC, and contract review, always with human oversight.

  6. Working Together: Humans & AI

    Maximize AI's scale and consistency while leveraging human judgment and intuition for success.

    View Course Page Arrow pointing right
  7. Program Exam & Resources

    Test your knowledge with the final exam and explore pathways for continuous AI learning.

    View Course Page Arrow pointing right

Instructors

Avatar

Hugh Seaton

Hugh is CEO of TheLink.ai, a Procore marketplace partner, author of The Construction Technology Handbook (Wiley, 2021), host of the AI in Construction youtube channel, and creator of Procore’s Data in Construction series. As product manager and entrepreneur, Hugh has led the creation of a series of AI products, from voice-activated daily logs to specifications analysis tools and more. Hugh lives in Austin, TX with his dog, Bob.

Linked-In

Plan de estudiosStart Course

  • Introduction
  • AI limits & capabilities
  • AI in estimating
  • AI in project management
  • AI in QA
  • AI in the trades
  • AI in contract review
  • Knowledge check
  • We want to hear from you!
  • Conclusion

Acerca de este curso

Instructor: Hugh Seaton
clock

1 hour

check-in-circle

Last reviewed 10/2025

Monitor

Video Content

Course Description

This module brings AI in Construction to life, showing you how these advanced tools apply directly to your everyday tasks across various construction roles. We will explore the concrete capabilities of both Deep Learning and Generative AI, revealing how they can help classify items, recognize language, predict outcomes, and synthesize new content like text and images. You will learn how AI excels at handling "complicated" tasks—those with many steps but limited interactions—making it a valuable assistant for various workflows. However, we will also reinforce AI's key limits, such as its inability to handle true "complexity," apply human judgment, or understand the nuances of a job site.

Dive into specific applications for key construction functions. For estimating, AI can draft takeoffs, summarize specs, and flag document gaps, while humans focus on project risks and real-world negotiations. In project management, AI assists with submittal logs, schedule drafts, and meeting summaries, but human project managers remain crucial for real-time decisions and interpersonal judgment. We will also cover quality assurance and control, where AI streamlines requirement extraction and connects inspections to schedules, leaving critical oversight and judgment to the human QA team. For trade contractors, AI can draft material lists, track orders, and create daily task lists, but it never replaces the vital trade knowledge and on-site decision-making of skilled professionals. Finally, explore how AI revolutionizes contract, drawing, and specification review, automating document summaries, clash detection, and risk clause flagging, while ensuring human experts retain the critical role in negotiation and risk assessment.

Learning Objectives

  • Describe the core abilities of AI, like deep learning and generative AI.

  • Distinguish construction tasks AI can handle from those needing human judgment.

  • Identify ways AI supports construction roles (e.g., drafting, summarizing, tracking).

  • Explain why human judgment and intuition remain essential in construction.

Prerequisites

Continuing Education Course Credits

Course Title: AI in Construction

Course Number: PC-02-091725

Session Number: 1

Curriculum Group Name: AIA Providers

Credit: 5 AIA LU

Course Expiration Date: 09/24/2028

Procore's Continuing Education courses may qualify for continuing education credits with other professional organizations or fulfill state licensing requirements. If you are a member of a different organization, you can download your course completion certificate from your learning profile and report your completion yourself to the organization for potential credit. Please refer to the organization's continuing education requirements for course eligibility information.


AIA CES Provider statement

Procore Technologies is a registered provider of AIA-approved continuing education under Provider Number 40108059. All registered AIA CES Providers must comply with the AIA Standards for Continuing Education Programs. Any questions or concerns about this provider or this learning program may be sent to AIA CES (cessupport@aia.org or (800) AIA 3837, Option 3).

This learning program is registered with AIA CES for continuing professional education. As such, it does not include content that may be deemed or construed to be an approval or endorsement by the AIA of any material of construction or any method or manner of handling, using, distributing, or dealing in any material or product. AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.

AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.

Frequently Asked Questions

What specific skills will I gain to understand where AI is genuinely useful in construction?faq-icon

This module will help you recognize the precise capabilities of both Deep Learning and Generative AI, showing you when AI is ideal for tasks with lots of data and clear steps, and when it's not suitable for truly complex situations requiring human judgment. You will be able to identify "complicated" tasks that AI excels at, freeing you to focus on the "complex" aspects of your job.

Will this module explain how AI can help identify potential risks and gaps in project documentation?faq-icon

Yes, you will learn how AI can flag missing spec sections, highlight unusual site requirements, identify overlapping scope items between trades, and check for missing safety or insurance requirements in contracts. The module illustrates that AI supports risk management by identifying early warnings and conflicts, leaving human experts to assess true impacts and decide strategies.

Can you explain how this module will show me how to blend AI capabilities with human expertise for better project outcomes?faq-icon

The module consistently demonstrates that AI acts as a powerful tool to support human decision-making, automating complicated tasks to free up time for human judgment, intuition, and handling complexity. You will see how combining AI's data processing speed with human experience in estimating, project management, and quality control leads to reduced errors, faster decisions, and improved project outcomes.

What's Next

Continue your learning journey

This course is part of the “AI in Construction” Learning Path. Explore and Complete the additional Courses in this learning path below to complete your journey.

  1. Program Intro

    Welcome to AI in Construction! Explore program goals, module content, and what to expect in your learning journey.

    View Course Page Arrow pointing right
  2. The Basics of AI

    Dive into AI essentials and learn about Deep and Generative AI and how AI agents perform tasks.

    View Course Page Arrow pointing right
  3. Getting Started with Generative AI & Chatbots

    Learn prompting, context engineering, data security, and navigate AI's probabilistic nature.

    View Course Page Arrow pointing right
  4. Diving Deeper into Prompting

    Elevate your prompting skills. Explore Chain of Thought, creative prompting, and defensive strategies to maximize AI's potential.

    View Course Page Arrow pointing right
  5. Star-Shield

    You are here!

    Applying AI to Construction

    Explore AI uses in estimating, project management, QA/QC, and contract review, always with human oversight.

  6. Working Together: Humans & AI

    Maximize AI's scale and consistency while leveraging human judgment and intuition for success.

    View Course Page Arrow pointing right
  7. Program Exam & Resources

    Test your knowledge with the final exam and explore pathways for continuous AI learning.

    View Course Page Arrow pointing right

Instructors

Avatar

Hugh Seaton

Hugh is CEO of TheLink.ai, a Procore marketplace partner, author of The Construction Technology Handbook (Wiley, 2021), host of the AI in Construction youtube channel, and creator of Procore’s Data in Construction series. As product manager and entrepreneur, Hugh has led the creation of a series of AI products, from voice-activated daily logs to specifications analysis tools and more. Hugh lives in Austin, TX with his dog, Bob.

Linked-In

Plan de estudiosStart Course

  • Introduction
  • AI limits & capabilities
  • AI in estimating
  • AI in project management
  • AI in QA
  • AI in the trades
  • AI in contract review
  • Knowledge check
  • We want to hear from you!
  • Conclusion

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