AI for Xactimate: Support the Estimate and Check the Details

Xactimate is the estimating platform most widely used in property damage claims — for insurance restoration, remediation, and related construction work. AI cannot use Xactimate for you, and it cannot produce Xactimate line items or prices reliably. What it can do is help with the text-based work around an estimate: organizing scope notes, drafting review questions, and keeping a record of the assumptions a project team has agreed on.

The risk in restoration estimating is that an AI-produced number gets entered as if it were a Xactimate calculation. That approach produces estimates that do not hold up to review. A tool like fenbs helps by keeping project assumptions, human decisions, and outstanding review items in a shared record that every estimator starts from.

What AI can and cannot do around Xactimate

AI can help with the language side of estimating: drafting scope summaries, writing the narrative description of damage for a claim, organizing notes from a site inspection into a structured list, and checking that the written scope matches the line items in a completed estimate.

What AI cannot do is log into Xactimate, create or edit line items, apply the correct regional pricing, or understand Xactimate's specific calculation logic. Any AI output about Xactimate line items or prices is a general estimate, not a Xactimate output. The two are not the same and should not be treated as such.

The useful mental model is to let Xactimate do what it is designed to do — calculate from its database — and let AI assist with the surrounding preparation and review work that the estimator would otherwise do manually.

Organizing scope notes before you open Xactimate

A good estimate starts with organized observations. A site inspection produces photos, measurements, and notes that need to be turned into a structured scope before you start entering line items. AI can help with that conversion: give it your raw notes and ask it to organize them by category (structural, finishes, contents, equipment) and flag anything missing.

The output is a draft scope, not a complete one. The estimator who did the inspection reviews it for accuracy and adds anything the notes missed. The AI saves the organization time; the professional confirms the content.

Keep the raw notes and the AI-organized draft separate. If the scope is challenged during the claim review process, the original inspection notes are the authoritative record. The AI draft is a working document.

Reviewing a completed estimate for gaps

After an estimate is complete in Xactimate, one useful AI task is a gap review. Describe the loss type and the scope categories to AI, and ask it to list items commonly included in that type of loss that might be missing. Not every item on the list will apply — that is the estimator's judgment — but the review can catch omissions before the estimate goes to the adjuster.

AI can also help check that the written scope and the line-item estimate tell the same story. If the scope narrative mentions moisture remediation but the estimate has no drying equipment lines, that is worth reviewing. An inconsistency found before submission is easier to resolve than one found during review.

These reviews are most useful when the estimator is working quickly on multiple claims. They do not add professional oversight to the estimate; they assist the estimator who is already responsible for the estimate's accuracy.

Assumption documentation and project decisions

Restoration projects involve decisions that are made once and need to be carried through the entire claim: which pricing matrix was applied, whether certain categories were included or excluded by agreement with the insurer or carrier, what demolition scope was approved before work began.

When those decisions live only in an estimator's memory or in an email thread, they are easy to lose track of, especially when a file moves between adjusters, contractors, or supplementing estimators. Recording each assumption as a decision, with the person who approved it and the date, creates a reference that everyone uses.

AI can help draft a list of the assumptions that typically need to be documented for a restoration project. The estimator reviews the list, adds or removes items for the specific project, and records the actual decisions as the project progresses.

Writing and reviewing claim narratives

A restoration claim often requires a written narrative describing the damage, the cause of loss, and the scope of repair. These narratives need to be accurate, clear, and consistent with the Xactimate estimate. They are also time-consuming to draft when you are managing multiple files.

AI can draft a narrative from a structured description of the loss and the scope. The estimator reviews it for accuracy, adjusts the technical language for the specific loss type, and confirms it is consistent with the estimate. The AI version will often need editing; it saves the blank-page problem, not the review.

Keep insurance terminology precise. An AI-drafted narrative may use general language where Xactimate and insurance claims have specific terms. Review those carefully: the terminology in the narrative should match the line items and the policy language.

How to do this with fenbs

1. Create a free account and add a project for the claim or the job file. Include the loss type, the claim number or project reference, and the key dates.
2. Add tasks for each stage: inspection notes review, scope organization, Xactimate entry, narrative draft, and estimate review. Move tasks through In Progress and Completed as work advances.
3. Record each significant decision in Decisions and rules: pricing matrix, included and excluded categories, carrier agreements, and any changes to the scope after the initial estimate.
4. Connect your AI assistant via Integrations and ask it to read the project context before helping draft or review scope materials.
5. Before submitting the estimate, use the Where we left off note to record what was reviewed, what was checked, and any items that required a decision. That note is useful if the estimate is audited.