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Quote & Estimate Generation

Great estimates take the kind of time and experience that's hard to scale.

Arcovo builds AI employees that pull from your line-item library, job history, and vendor pricing to draft estimates your team reviews and sends the same day.
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pain points

Your past jobs hold better pricing data than your catalog, but most quotes never see it.

Your line-item library has standard prices but your accounting system has what last year's job actually cost. Your CRM has what this customer paid before. The data that would sharpen the bid sits in three other systems and most estimators only have time for the catalog.
pain points

Your estimating process lives in a few people's heads.

Most teams have a small handful of people who can build an accurate estimate. When they're on a job site or buried in another bid, the queue stops. The pricing knowledge, vendor relationships, and job history aren't accessible to anyone else. The bottleneck isn't the work, it's that only they know how to price it.
pain points

The right price comes from knowing this customer, this scope, and this history.

Pricing too high loses the job and pricing too low wins it but eats the margin. Getting it right means knowing this customer, this site, and this scope, and most quotes only account for one of those.

It gives you time back on the tedious tasks, and gives your team back time, so they can work on the highest-value work.

How It Works

Every solution follows the same logic.

Every Arcovo solution follows a simple logic. Something triggers it, your AI employee does the work, and a human reviews and approves before anything goes out.
Trigger

A quote request comes in

A request for a quote comes in by email or phone, or a sales lead asks for pricing on a call. That request is the trigger and your AI employee starts pulling line items, vendor pricing, and job history immediately.
AI Action

They price it, you send it

Your AI employee pulls library items, vendor pricing, labor rates, similar-job actuals, and customer history. They flag where actuals run higher than catalog and where this customer's margins differed, then draft the quote with stale pricing called out.
Outcome

Estimator reviews, not builds

A drafted quote is on your estimator's desk the same day the request came in. They confirm the scope, adjust where their judgment says to, and approve. The quote goes to the customer while their interest is still high.
Real Results

Quotes go out the same day

A customer asking for a quote on Tuesday gets one on Tuesday. Your estimator spends thirty minutes reviewing instead of three days gathering and writing. Your customer gets the price while their interest is still high.

Bids built on real costs

When the line-item library says a phase costs X but your last three jobs ran 20% over, your AI employee flags the gap. Your estimator decides whether to bid catalog or actual, but either way the gap is visible before the quote goes out, not after.
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From the very beginning, they understood exactly what we were looking for and how they were solving our problems.

Let's Compare

What changes when quotes go out same-day?

With Arcovo

AI Solution

Without Arcovo

Quote Speed
Same day the customer asks
Days, sometimes weeks
Inputs
Library, actuals, CRM, payroll, pricing
The line-item library, mostly
Cost Accuracy
Catalog adjusted against your actuals
Catalog only
Estimator Time
Review and approve
Gather, write, send
Following Bids
Each estimate informed by the last
Each estimate built from scratch

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