Revenue Acceleration

AI Estimating Engine

Generates quotes from specs, photos, or voice input — trained on your pricing, supplier rates, and markup matrix. Quote turnaround from days to hours.

Get this automation
8-20x within 90 daysTypical ROI
2-3 weeksDeploy time
3 toolsIntegrated
5 industriesSupported

The Problem This Solves

The owner is the only person who can generate accurate estimates. Custom quoting takes 4-8 hours per complex job. A 2-week quote backlog means all prospects are cooling off. The quoting bottleneck prevents scaling past 4-5 techs and limits revenue to whatever the owner can personally quote.

How It Works — Step by Step

1

Field data captured: photos, measurements, voice description, or digital form

Action: AI analyzes inputs — identifies equipment, failure mode, required parts, and labor scope

Draft estimate framework generated from field data

2

Draft estimate ready

Action: AI applies: your pricing matrix, supplier costs, labor rates, markup, and customer-specific pricing

Preliminary quote with itemized breakdown ready for owner review

3

Owner reviews estimate

Action: Owner adjusts scope, pricing, or terms in 10-15 minutes

Professional proposal sent to customer same-day instead of next week

4

Proposal sent

Action: Quote follow-up sequence activated automatically

Systematic follow-up ensures the quote stays alive through the decision process

Tools Used

  • Parts Catalog Integration
  • Pricing Database
  • Photo Analysis
🛡️
Included in retainerThis automation is deployed as part of the Fractional AI Operations retainer. Setup, testing, monitoring, and optimization included.

Questions About This Automation

Can AI really generate accurate estimates for custom work?

Trained on your specific pricing, supplier relationships, and markup structure. The engine generates a draft — you review and adjust in 10-15 minutes instead of building from scratch in 4-8 hours.

How does it handle different equipment types?

Cross-references your parts catalog by equipment make/model and failure type. Hydraulic cylinder specs, compressor OEM parts, tree size categories — each niche has its own estimation logic.

What if the estimate is wrong?

It's a draft for your review, not an auto-send. Owner always reviews before sending. Accuracy improves over time as the engine learns from your adjustments.

Can this help me scale my quoting capacity?

That's the primary value. An owner who can quote 1 job per day can now quote 5-8. The quoting bottleneck — the single biggest constraint on growth in specialty service businesses — disappears.

What's the ROI?

Faster quoting improves close rates (3-day turnaround converts at 40% vs. 8% for 14-day). At $10K-$150K average tickets across our niches, converting even 2-3 additional jobs per quarter adds $20K-$450K in annual revenue.

Ready to deploy AI Estimating Engine?

Book a free 30-minute call. We'll confirm this automation fits your setup and walk through exactly what deployment looks like for your business.