Construction & Engineering · Sales

Tiered estimate generation from site photos

Generates tiered good-better-best pricing quotes for foundation repair jobs from site photos, job descriptions or satellite property measurements. The estimator reviews and sends the finished quote to the homeowner.

An AI workflow Blueprint — a documented use case for Sales in Construction & Engineering. Complexity: Standard. Deployment: Platform-native.

  • Complexity: Standard
  • Deployment: Platform-native

The problem

Foundation repair is high-ticket, documentation-heavy work with sales cycles of 2 to 6 weeks. Estimators measure on site, then spend hours back at the office pricing the job. In the documented case, manual measurement and estimation took 2 to 3 hours per quote, and slow quotes lose leads to faster competitors.

  • Hours of site measurement and office pricing for every estimate
  • Wasted inspection trips to properties that were never going to qualify
  • Follow-up over a multi-week sales cycle depends on the salesperson remembering
  • Leads go cold while the quote is still being built

The solution

An estimating workflow produces a complete, tiered quote from site photos, a job description or satellite measurements, formatted the way structural salespeople present options.

  1. Takes site photos of the foundation, walls and cracks, or a written job description
  2. Estimates property dimensions from satellite imagery with MapMeasure Pro before anyone drives out
  3. Builds good-better-best pricing tiers covering options such as push piers, wall anchors and interior drainage
  4. Formats the quote as a presentation ready for the sales conversation
  5. Logs the lead in the CRM and schedules follow-up across the sales cycle

Where people stay in control

  • The estimator reviews every quote and sends the finished version to the homeowner
  • Pricing tiers come from the company's own price book, not from the AI
  • Satellite measurements screen properties before a visit; the on-site inspection still confirms the scope

Systems and data

The workflow uses site photos, job descriptions and aerial imagery as inputs, and writes leads, quotes and follow-up tasks to the company's CRM. Quotes can also connect to payment and scheduling tools the business already uses.

  • CRM
  • MapMeasure Pro

Results

  • Estimates that took 2 to 3 hours are produced in minutes in the documented case
  • Teams reported absorbing 30 to 40 percent more leads without adding estimators

Why platform-native

This is a contained workflow: one estimating process, a CRM and a measurement tool, with the estimator approving every quote. It runs well platform-native, directly on the model platform with Altivus providing monitoring and governance.

Frequently asked questions

Can AI produce an accurate estimate from photos?

It produces a complete draft quote from photos or satellite measurements in minutes. The estimator reviews and adjusts it, and the on-site inspection confirms the scope before work is sold.

What is a good-better-best quote?

A quote that presents three priced options for the same job, so the homeowner can choose a level of repair. The workflow formats every estimate this way.

Does this help with follow-up?

Yes. Leads and quotes go into the CRM with follow-up scheduled across the 2 to 6 week sales cycle, so fewer leads go cold.

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