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ChatGPT's accessibility means many construction estimators have already tried using it informally, often with mixed results because the requests weren't structured for consistent output. This session gives construction estimators, preconstruction managers, and project leaders a structured, practical framework for using ChatGPT specifically within the estimating process, moving beyond ad hoc use toward a repeatable method that produces dependable results.
The session covers realistic applications: organizing scope documents and specifications before pricing begins, using ChatGPT to surface ambiguities or missing information, drafting clear cost narratives and qualifications, and structuring bid documentation for internal review or client presentation. A structured prompting framework gives attendees a dependable way to get consistent, usable output from ChatGPT on estimating tasks, replacing trial-and-error requests with a repeatable method.
The session also addresses the practical considerations that come with using a general-purpose AI tool on estimating work — including how to protect proprietary pricing data, how to build an internal review habit so AI-assisted output is checked with the same rigor as any other estimate, and where estimator judgment must always remain final. Attendees will leave with a practical, low-risk way to bring more structure to how they already use ChatGPT in their estimating work, whether they are refining an existing habit or starting from scratch.
ChatGPT is one of the most widely available AI tools, and many construction estimators have already experimented with it informally — often without a structured approach to get dependable results. Used casually, it can produce inconsistent output; used with the right method, it can meaningfully support parts of the estimating process.
This session gives construction estimators and preconstruction professionals a structured, practical approach for using ChatGPT specifically within the estimating workflow — organizing scope information, drafting cost narratives, and structuring bid documentation. Attendees will leave with a repeatable prompting method, a realistic view of where ChatGPT adds genuine value in estimating work, and a clear sense of which decisions must always remain with a qualified estimator.
Soundarya Jeyadurai is a corporate trainer specializing in enterprise AI adoption, prompting practices, and workplace communication. Over the past 4 years, she has delivered knowledge-based webinars and training sessions to professionals across industries, helping teams move beyond surface-level familiarity with AI tools like Claude to build practical, confident, everyday fluency with them. Her sessions focus on translating powerful but unfamiliar technology into clear, usable skills — covering effective prompting, workflow integration, and responsible AI use in real organizational contexts.
Beyond AI adoption, Soundarya's training practice extends into organisational and workplace skills, including professional communication, soft skills development, and spoken English coaching — reflecting her broader belief that technology adoption succeeds only when paired with strong human communication and collaboration. She holds an M.Sc. in Chemistry and a B.Ed. in Physical Science, and brings a structured, education-first approach shaped by years of teaching experience to every session she designs and delivers.