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Estimating example

AI for construction estimating

Standardize the information and steps behind an estimate so AI can prepare useful work for the estimating team.

The problem

Where the work gets stuck

Preparing estimates takes time when key information, working methods, and examples of good work are difficult to find or inconsistently applied.

The work combines AI with standardized source data, reusable templates, and a documented estimating process.

The workflow

From drawing to draft estimate

  1. Organize the source information

    Input
    Drawings, takeoffs, project requirements, and key decision data.
    AI supports
    Help organize and standardize the information used in estimating.
    People decide
    The estimating team chooses authoritative sources and resolves missing or conflicting information.
    Output
    A consistent set of estimating inputs.

  2. Capture how estimating works

    Input
    The team's working methods and undocumented process knowledge.
    AI supports
    Help turn the process into clear steps and reusable instructions.
    People decide
    Experienced estimators verify the sequence and judgment calls.
    Output
    A documented estimating process.

  3. Show what good looks like

    Input
    Reusable templates and representative estimate examples.
    AI supports
    Follow the supplied structure and requirements when preparing work.
    People decide
    The team defines the standards and checks that examples represent good work.
    Output
    Consistent templates and reference examples.

  4. Review takeoffs and drawings

    Input
    The standardized inputs and estimating instructions.
    AI supports
    Support review of takeoffs and drawings and prepare estimating work.
    People decide
    An estimator checks interpretations, missing information, and assumptions.
    Output
    Draft estimating work ready for review.

  5. Verify the estimate

    Input
    The prepared estimate and supporting information.
    AI supports
    Keep source information and unresolved questions available for review.
    People decide
    The estimator verifies and approves the estimate before it moves forward.
    Output
    An approved estimate and a repeatable process.

What it takes

Inputs and ownership

  • Representative drawings and takeoffs.
  • Authoritative estimating data and reusable templates.
  • Time with experienced estimators to document the process.

Result and scope

87% less estimating time

Reported estimating result

Estimating took 13% of the time it previously required.

Questions

Before you use this pattern

What information does AI need to support estimating?

It needs relevant drawings and takeoffs, authoritative estimating data, examples of good work, and instructions that capture how the team estimates.

Who checks the estimate?

An estimator reviews the prepared work, resolves assumptions and missing information, and approves the estimate.

Keep exploring

Explore the related service: AI consulting

Talk through your workflow

What could this look like in your organization?

Discuss your estimating process