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How AI Estimating Works.

AI estimating collects job scope from the customer through a structured conversation, applies your pricing rules, and delivers a formatted quote — without a human touching the calculation. The customer gets an estimate in minutes. You get your time back.

The Short Answer

Scope In. Estimate Out. No Manual Work.

Traditional estimating requires a human to gather scope from the customer, apply pricing rules from memory or a spreadsheet, format the document, and send it. The process typically takes between 30 minutes and several hours depending on complexity. Many estimates never get sent because the queue is too long.

AI estimating compresses this to minutes. The AI conducts the scoping conversation — asking the right questions in the right order — and hands the collected scope to your pricing engine. A formatted estimate is generated and sent automatically. No queue. No delay. No manual entry.

The practical effect: you can respond to estimate requests that come in overnight, on weekends, or while you are on a job. The customer gets a number quickly. Fast response on a quote correlates directly with conversion — most customers accept the first credible estimate they receive.

What AI Estimating Replaces

Phone tag to collect job details
Manual calculation from rate cards or spreadsheets
Formatting and sending estimate documents by hand
Chasing customers who did not respond to the quote
Estimating bottlenecks during busy periods

How It Works

From Request to Delivered Quote in Five Steps

01

Customer describes the job

The customer submits a job description by phone call, SMS, or web form. The AI receives the request and begins a scoping conversation to gather the specific details required to price the work accurately.

02

AI asks trade-specific scoping questions

The AI asks the questions that determine scope and price — property size, system type, age of equipment, access conditions, material preferences, urgency, and any other factors your business uses to qualify and price jobs. These questions are configured around your specific trade.

03

AI applies your pricing rules and generates line items

Once scope is collected, the AI applies your pricing logic — labour rates, material costs, call-out fees, complexity adjustments — and generates a line-item estimate. No manual calculation required.

04

Formatted estimate delivered to the customer

The estimate is sent to the customer via SMS or email as a formatted document. It includes your business name, itemised costs, total, and any required terms or next steps. The customer can accept, ask questions, or request a modification.

05

Customer responds; AI follows up if no answer

If the customer accepts, the AI can book the appointment or notify you to confirm. If there is no response, the AI follows up at day 2 and day 5 automatically. Unconverted estimates do not disappear — they remain in the follow-up sequence until resolved.

Key Capabilities

What AI Estimating Can Do

Collect job scope through natural conversation — phone, SMS, or web form

Ask trade-specific scoping questions configured to your service lines

Apply custom pricing rules including labour rates, materials, and call-out fees

Generate formatted, line-item estimates automatically

Deliver estimates by SMS or email within minutes of scope collection

Handle follow-up questions from customers about the estimate

Track estimate status — sent, viewed, accepted, or pending

Follow up automatically on estimates that have not been accepted

Log all estimate activity for review and reporting

Honest Assessment

Where AI Estimating Does Not Apply

AI estimating works best for jobs where scope can be accurately defined through conversation. There are situations where it cannot substitute for physical assessment. Here is where the boundaries are.

Cannot physically inspect a property — estimate accuracy depends entirely on the scope information the customer provides

Complex custom work with unusual site conditions may require a physical site visit before a reliable estimate can be generated

Accuracy degrades when customers provide incomplete or inaccurate scope information; the AI cannot detect what it was not told

Highly variable material costs in volatile markets may require manual price-table updates to keep estimates current

Specialised engineering or structural assessments require a licensed professional — not an appropriate use case for automated estimating

Polemica's Approach

Estimating Built Around Your Pricing, Not a Generic Template

Polemica's AI Estimating Assistant is configured to your trade, your pricing structure, and the specific questions you need answered before you can produce an accurate estimate. It does not use industry-average rates — it uses your rates.

The setup process involves documenting your pricing rules, the scoping questions your estimators currently ask, and the edge cases that require human review. The AI is then trained on these inputs and tested before going live on any customer interaction.

If the job is a poor fit for automated estimating — too complex, too variable, or requires a site inspection — the AI flags this and schedules the site visit. It does not send an unreliable estimate to preserve the appearance of speed.

Common Questions

Questions About AI Estimating

Accuracy depends on scope quality. For well-defined, repeatable jobs — standard HVAC replacements, roof replacements by square footage, fixed-rate plumbing repairs — AI estimates can match manual estimates within 5–10%. For complex, variable jobs where scope requires a site visit, AI estimating handles the initial range and flags that an on-site review is required.

Next Step

See What AI Estimating Looks Like for Your Trade

The free review covers your current estimating workflow, where AI can replace manual steps, and what cannot be automated for your specific job types.