Speed decides a large share of local service work. A homeowner with a cracked sewer line calls three companies on a Tuesday morning and hires the one that puts a number in front of them first. AA19 builds the pricing math, the intake, and the document generation into one system that runs at 6am and at 11pm.
AI produces more estimates by pricing an inbound request against the company's own rate book within minutes, drafting a branded document with options, and sending it before a competitor answers the phone. Volume rises with no extra estimator on payroll.
Pricing logic lives in the owner's head: production rates, material costs, access difficulty, minimums, travel bands, and the margin floor nobody crosses. That knowledge produces accurate numbers and creates a queue behind one human being.
AA19 turns that logic into a model the system can run. The owner approves the rules once, corrections get preserved, and quoting capacity stops depending on an available evening.
An inbound request arrives from a form, a phone call, a text, or a marketplace lead. The system extracts scope, address, surface or square footage, urgency, and photos. Missing details get requested in the company's voice.
Pricing runs against the rate book. Options get built: good, better, best, with financing language and warranty terms attached. A branded document goes out with e-signature and a deposit link.
Anything priced below the margin floor stops at a human. The exception surfaces with the reasoning attached, which protects gross profit at volume.
Bad automation floods the market with wrong numbers. AA19 verifies output against the standard the owner set, keeps a record of anything sent without review, and escalates edge cases: strange access, historic properties, commercial specs, permit-heavy scope.
Accuracy climbs over time. A correction on a stone patio quote becomes a rule that shapes the next forty patio quotes.
Any company that quotes before it works. Roofers pricing a replacement from measurement reports, plumbers presenting flat-rate options at the counter, remodelers building allowances into a scope document, landscapers bidding install work, pressure washing crews pricing by surface, painters walking a room count, pool builders scoping a plan set, and electrical contractors quoting panel upgrades.
First on the street after a storm
No missed emergency calls
Service calls booked while crews work
Maintenance base stays full
Scope written the same day
More bids submitted
Estimates delivered same day
Denser routes, lower fuel
More estimates out the door
Consultations that book themselves
Minutes from request to priced document, tracked by lead source and hour of day.
Total sent, split between self-serve calculator, drafted-and-approved, and fully autonomous.
Which package wins, and at which price band the win rate drops.
Count of quotes stopped before sending, with the reason preserved.
Scope drives the number. Systems, trades, and custom pieces are all listed on the pricing page.
Yes. The model gets built from the existing rate sheet, production rates, material costs, minimums, and travel bands. Nothing generic gets applied to a job.
An interactive calculator on the website can produce a real range from surface, scope, and access inputs, while the office keeps a detailed internal version of the same math.
A verification gate checks the draft against the margin floor, scope rules, and exclusion list. Failures route to a person with the reasoning attached.
The estimator stops typing documents and starts closing. Field measurement, judgment calls, and negotiation stay human.
A focused estimating build runs two to four weeks from discovery to live operation, depending on the depth of the pricing model.
All eight outcomes: More estimates, More booked jobs, Fewer missed calls, Less admin, Better follow-up, More reviews, Happier customers, Less time in the office.