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Claude for Construction Estimation
- 16
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10:00 AM PDT | 01:00 PM EDT
Duration: 60 Mins
Level
Intermediate
Speaker
- Where Claude fits — and where it doesn't — in the construction estimating workflow
- Organizing scope documents, specifications, and takeoff data before pricing begins
- Using Claude to surface ambiguities, missing scope, and potential change-order risk early
- The RTCFG prompting framework (Role, Task, Context, Format, Guardrail) applied to estimating tasks
- Drafting clear cost narratives, qualifications, and assumptions for internal and client review
- Structuring subcontractor and vendor quote comparisons for consistency and completeness
- Protecting proprietary pricing data and confidential client information when using AI tools
- Building an internal review habit so AI-assisted work receives the same scrutiny as any other estimate
- A practical, ready-to-use prompt library for common estimating tasks
- Where human judgment and estimator accountability must always remain final
Overview of the webinar
Estimating remains one of the highest-stakes functions in construction — the numbers built into a bid shape a project's profitability long before the first shovel hits the ground. This session introduces construction estimators, preconstruction managers, and project leaders to a structured, practical approach for incorporating Claude into everyday estimating work, without compromising the judgment and accountability the role demands.
Rather than treating AI as a shortcut, the session frames it as a thinking partner for the estimating process: helping organize scope documents and specifications, surface ambiguities or missing information before they become change orders, structure cost narratives and assumptions clearly for internal review or client presentation, and organize vendor or subcontractor quotes for side-by-side comparison. Central to the session is a repeatable prompting framework — built around Role, Task, Context, Format, and Guardrail (RTCFG) — that gives attendees a dependable structure for getting consistent, usable output from Claude on estimating-related tasks, rather than relying on trial and error.
The session also addresses where the line should be drawn: what estimating decisions should never be delegated to AI, how to protect proprietary pricing data and client information, and how to build internal review habits so AI-assisted work is checked with the same rigor as any other estimate. Attendees will leave with a practical prompting toolkit, a realistic understanding of AI's role in the estimating workflow, and a framework for expanding that use responsibly across their teams.
Who should attend?
- Construction Estimators
- Chief Estimators
- Preconstruction Managers
- Project Managers
- Cost Engineers
- Business Development Managers (Construction)
- Construction Directors/Owners
- Senior Estimators
- General Contractors
- Subcontractor Estimators
Why should you attend?
Construction estimating carries significant financial exposure — a missed line item or an under-scoped assumption can turn a profitable bid into a loss. As firms explore AI tools to support their estimating process, many estimators are left unsure where a tool like Claude genuinely fits into an established takeoff-to-bid workflow, and where it doesn't.
This session gives construction estimators, project managers, and preconstruction professionals a clear, practical framework for incorporating Claude into their estimating work — from organizing scope documents and clarifying ambiguous specifications, to drafting cost narratives, structuring bid comparisons, and communicating assumptions to stakeholders. Attendees will leave with a structured prompting method they can apply immediately, a realistic view of where AI adds genuine value in estimating work, and the judgment to know which decisions must always remain with a qualified estimator.
Faculty - Ms.Soundarya J
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.