Intake accuracy decides whether a water loss is profitable.

Two of the four numbers that determine whether a Cat-1 water loss makes money get captured by the intake person in the first sixty seconds. The water-loss P&L runs on category, square footage, materials affected and source water source. The first and the fourth come out of the intake call. The second and third get refined on site but start with the intake estimate. A bad intake call carries the cost forward for the life of the job.

Most restoration operators treat intake as a customer service function. The company that treats it as a financial function makes more money. The intake person is the first estimator on the job, whether the company has framed the role that way or not.

The four numbers

Category determines the cleanup protocol under IICRC S500. Cat 1 is clean water, the lightest protocol. Cat 2 includes some contamination. Cat 3 is sewage and grossly contaminated water and triggers the most aggressive protocol. The category determines whether materials are dried in place, removed and replaced or full-tear-out. A Cat misclassification at intake can shift the job cost by 40% or more. The math runs against the company either way. If the intake person calls a Cat 3 a Cat 2, the techs over-scope on site and burn margin. If they call a Cat 2 a Cat 1, the carrier rejects the estimate on review and the company eats the rework.

Square footage drives drying time and equipment count. A 400 sq ft Cat 1 needs a different equipment package than an 1,800 sq ft Cat 1. The intake person who captures floor dimensions, even roughly, lets the dispatcher build the right truck before it leaves the yard. The intake person who does not forces a return trip for additional equipment, which kills utilization and adds carrier visibility into a job that should have been clean.

Materials drive replacement scope. A hardwood floor under Cat 2 water is a replacement job. A vinyl plank floor under the same conditions might be a dry-in-place job. The intake call that captures flooring type, wall material and ceiling material gives the estimator data to work with before the truck arrives. The intake call that captures only the address and the homeowner's name leaves the estimator solving the job for the first time on site.

Source water source is the input to category determination. Clean supply line. Dishwasher overflow. Toilet overflow. Sewage backflow. Roof leak. Storm water. Each of these maps to a different category and a different protocol. The intake person who asks "where is the water coming from" with a follow-up on whether the source is clean is doing the protocol work that defends the estimate at carrier review.

What the intake call should capture

A strong intake call on a Cat 1 to Cat 3 water loss captures fourteen data points. Property address with floor count. Homeowner name and callback number. Insurance carrier name. Loss date and time of discovery. Source water source. Approximate affected square footage by room. Flooring material by affected room. Wall material if affected. Ceiling material if affected. Whether the water source has been stopped. Whether power is on at the property. Whether anyone is currently in the affected space. Photographs sent by the homeowner during the call. A stated category preliminarily assigned by the intake person.

Capturing these fourteen points takes a structured intake person somewhere between three and five minutes. Most companies capture five or six of them. The rest get filled in by the tech on site, or get missed entirely and surface as rework on the estimate.

The downstream cost of bad intake

The cost of a weak intake call compounds in three places. The first is the truck roll. A truck dispatched on a partial intake either over-equips for the job, which wastes the equipment for the day, or under-equips and triggers a return trip. The return trip is the most expensive single event in restoration ops. It hits utilization, customer experience and tech morale at once.

The second is the estimate. A Xactimate estimate built on partial intake data shows up to the carrier with assumptions baked in. Those assumptions get questioned at review. Questioned line items get reduced. Reduced line items cost the company gross margin.

The third is the homeowner experience. A homeowner who has to explain the water source three times across an intake call, a tech arrival and an estimator visit is forming an impression of the company's competence. That impression shows up in reviews and referrals.

The intake person as estimator

The companies that have raised their intake accuracy have done so by reframing the intake role. The intake person is the first estimator on the job. They are not just capturing a service request. They are gathering the inputs that make the estimate, the dispatch and the carrier submission run cleanly. This reframing pulls the intake role up in the org chart, raises the pay grade for the position and changes the training profile.

The operators who have not done this reframing are leaving margin on the floor. Intake accuracy is a closed-system problem with a known set of fourteen variables. Solving it does not require more revenue, more techs or more marketing budget. It requires discipline at the front of the workflow.

Where AI fits

An AI voice agent built for restoration intake captures the fourteen-point list by default. The structure of the conversation is built around the protocol, not around the operator's training. This is one of the cleaner cases where AI moves a restoration metric without changing anything else in the operation. Stoa's intake agent runs through the fourteen-point capture on every water-loss call, with the category and the equipment recommendation in the dispatcher's hand before the homeowner hangs up.