AI & ChatGPT in Construction Estimation
Time:
12:00 PM PDT | 03:00 PM EDT
Duration:
60 Minutes
Webinar Id:
55435
More Trainings by this Expert
Price Details
Live: One Dial-in One Attendee
Corporate Live: Any number of participants
Recorded: Access recorded version, only for one participant unlimited viewing for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
Corporate Recorded: Access recorded version, Any number of participants unlimited viewing for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
Overview:
This webinar explores how artificial intelligence, including ChatGPT, can be applied within construction estimation to improve efficiency, accuracy, and workflow consistency. It provides practical insight into how AI tools can support key estimating activities such as cost breakdowns, scope development, documentation, and data analysis.
Attendees will gain an understanding of how to use ChatGPT alongside broader AI capabilities to streamline repetitive tasks, enhance data interpretation, and produce more structured and reliable estimates. The session focuses on real-world application, with practical examples and strategies that can be integrated into existing estimation workflows.
Why you should Attend:
This session provides a practical, structured overview of how AI and ChatGPT can enhance construction estimation processes, helping you improve efficiency, reduce manual workload, and increase consistency. Without adopting AI-driven approaches, estimation professionals risk falling behind as the industry evolves toward more data-driven and automated solutions.
Areas Covered in the Session:
- Introduction to AI in construction and its impact on estimation
- Overview of ChatGPT and its role within AI-driven workflows
- Common challenges in traditional construction estimation
- Key use cases for AI and ChatGPT, including:
- Assisting with cost breakdown structures
- Supporting scope development and clarification
- Automating and improving estimation documentation
- Interpreting and summarizing historical cost data
- Supporting bid preparation and submission narratives
- Writing effective prompts for estimation-specific tasks
- Improving efficiency and reducing manual workload
- Enhancing consistency and reducing human error
- Limitations, risks, and governance considerations when using AI
- Best practices for integrating AI into estimation workflows
- Future trends in AI-driven construction estimation
Who Will Benefit:
- Estimators and Senior Estimators
- Quantity Surveyors and Cost Managers
- Commercial Managers
- Project Managers involved in bidding and costing
- Procurement Professionals
- Contractors, Subcontractors, and Consultants
- Professionals involved in pricing, tendering, and cost planning
Speaker Profile
Mike Cunningham is an AI workflow trainer and webinar presenter with a background in multimedia, digital communication, and practical workplace training. He focuses on helping professionals understand how tools such as Claude, ChatGPT, and other AI platforms can be used in realistic, controlled, and commercially useful ways.
Drawing on his experience across multimedia production, communication, and professional development, Mike specialises in translating complex AI concepts into clear, practical workflows. His sessions are designed to help attendees move beyond generic AI demonstrations and understand how AI can support everyday tasks such as drafting, summarising, documentation, reporting, client communication, process improvement, and workflow efficiency.
Mike’s training style is direct, accessible, and workflow-led. He places strong emphasis on responsible AI use, including confidentiality, human review, data boundaries, and professional judgement. Rather than presenting AI as a replacement for expertise, he helps professionals identify where AI can save time, improve clarity, and support better working practices.
Across multiple professional service industry topics, Mike aims to give attendees practical examples they can assess, adapt, and apply within their own roles. His approach combines clear communication, structured teaching, and a strong focus on making emerging technology useful, understandable, and safe for professional environments.
