An estimate that takes two days to write is not competing with an estimate that takes 60 seconds to send. Speed is not a feature. In the contracting business, speed is the close.
Step 1: The engine is already set for your trade
Instant Estimates does not start from a blank form. The engine is configured around your trade before any lead enters the flow. Your custom fields — the things your estimators actually need to know for a roofing job, or a plumbing quote, or a landscape project — are already built in. Your pricing rules are loaded. Your AR tags are set to the features that matter for your work. Your margin targets are baked in. The engine is not generic. It is shaped around your trade.
When a new lead comes in, the system knows immediately what questions to ask, what measurements to pull, and what price range to build toward. That configuration work happens once, at setup. Every lead after that benefits from it.
Step 2: Satellite or records load the property data
While the lead qualifier is running, the system is already pulling property data. For most trades, that means fresh satellite imagery and automated measurement — roof squares, linear footage, lot area, depending on what your trade needs. For HVAC and plumbing, it pulls county records, prior permits, and system data filed on the address. For restoration work, it pulls claim and weather event data.
By the time an estimator looks at the estimate, the property data is already there. Not a placeholder, not a "check Google Maps" note in the file. The actual numbers.
Step 3: The qualifier runs the intake
The lead qualifier chat runs simultaneously with the data pull. It asks the questions that predict close probability: what is the project, when do they need it done, what is the budget range, who makes the decision. Every answer generates a score. Cold to ready-to-buy.
By the time the lead reaches an estimator, they have a property data set and a lead score. They know what they are walking into before they touch the estimate. That context is worth more than most estimators realize — a high-score lead deserves more attention and more care. A low-score lead that wants to buy eventually deserves acknowledgment and a follow-up sequence, not the same 90-minute site visit as a ready-to-close customer.
Step 4: Your fields and pricing rules take over
The estimator reviews the pre-loaded data, fills in the trade-specific details that still require human judgment — material grade, access conditions, any anomalies the satellite flagged — and the pricing engine calculates. Line items, materials, labor, taxes, and deposit amount, priced against current data for your trade in your market. The estimator is reviewing and confirming, not building from scratch.
For straightforward jobs in well-configured trades, this step takes under ten minutes. For complex jobs with multiple variables, it takes longer — but the starting point is always a nearly-complete estimate rather than an empty form.
Step 5: Signature and payment, on one screen
The estimate goes out with a signature line and a Stripe button for the deposit. Not a PDF that the customer has to print, sign, scan, and email back. Not a request to call the office. One link. They tap to sign. The deposit processes in real time. You get a notification the moment they sign. Your calendar books the job automatically.
This is where the 60-second framing becomes real: from the moment a homeowner asks for a quote to the moment your calendar shows a booked job, the entire flow — qualifier, measurement, pricing, delivery, signature, deposit — can be completed faster than your competitor finishes loading the address into their GPS.
Step 6: It connects to your existing stack
The estimate does not live in Instant Estimates. It flows into your CRM. The calendar books the install. Dispatch gets the job. Payroll closes the loop when the job is marked complete. Instant Estimates sits on top of your existing tools and runs them — it does not ask you to replace your software. It asks you to let the AI front-end do the part that was slowing everything else down.