Column · @marcoxylg988
What Adjusters Look For in an AI-Assisted Estimate
Here is a quiet truth about ai estimating software: the adjuster does not care how the estimate was written. They care whether it is supported, consistent and priced correctly. An AI-assisted estimate is judged by exactly the same standard as one typed line by line at midnight. That is good news, if you prepare for it.
This essay looks at the file from the adjuster's side of the desk. I use Axiom as the reference tool, because it is explicit about what its drafts contain and what they do not.
They look for the file in the format they expect
Adjusters working in Xactimate want an Xactimate file. Not a screenshot, not a vendor portal link. Axiom outputs a native .esx file that opens directly in Xactimate and reprices on the shop's own price list. That removes the first objection before it is raised. If your carrier works in Symbility instead, confirm their requirements before you build.
They look for evidence behind every line
An adjuster reads a line item and asks, "Where is that in the photos?" A well-built AI-assisted estimate has an advantage here, because the draft was built from the same photos, measurements, floor plans and notes that support it. If a line item cannot be traced back to evidence, expect it to be questioned, regardless of who or what wrote it.
They look for consistency between rooms
Adjusters notice when the kitchen gets a dehumidifier count that does not fit its size, or when two similar bedrooms carry different removal heights. https://buildaxiom.ai/blog/xactimate-line-item-ai-search Axiom organises the draft by room, with Xactimate codes, line items and editable quantities. That layout makes it easier for the estimator to spot inconsistencies during review, before the adjuster does.
They look for ai estimating software output justified by the standard
For water losses, adjusters lean on the IICRC standards, especially S500. Category, class, drying goals and monitoring all need to line up with the equipment and labor on the estimate. AI estimating software can produce the line items. The estimator still needs to write notes that connect them to the standard.
They look for a human signature
This is the big one. An adjuster wants to know a qualified person stands behind the file. Axiom is designed around that. Its output is a draft only. Nothing is final until an estimator reviews and approves it room by room. When photos do not settle an item, its scope assistant asks a question instead of guessing. The adjuster ends up reviewing an estimate a professional has already questioned and approved.
They look for scope that isn't padded
Experienced adjusters can tell when an estimate was built to see what sticks. A draft drawn from patterns across thousands of real claims is a starting point, not a target. Remove what the job does not need. A lean, well-supported estimate gets paid faster than a padded one that gets marked down.
They look for a clean response to their own estimate
When the carrier writes its own number, the adjuster wants a clear, line-by-line response, not a frustrated phone call. Axiom's Compare workflow combines carrier and contractor estimates for line-by-line review. If the carrier's version arrives as a PDF, PDF to Xactimate converts it into an ESX so you can work with it directly.
What adjusters do not look for
They are not looking for the words "AI-generated." They are not impressed by speed claims. They do not want accuracy percentages, and Axiom does not publish one. Leave all of that out of your notes. Let the evidence and the estimator's reasoning speak.
A short pre-submission checklist
- Native ESX, correct price list.
- Every line item traceable to a photo, reading or note.
- Consistent scope across similar rooms.
- Notes tied to IICRC practice where relevant.
- Estimator review completed room by room.
- No padding.
The takeaway
Adjusters judge results, not process. Used well, ai estimating software gives estimators a well-organised starting point and more time to do the parts adjusters actually read: evidence, consistency and justification. Used carelessly, it just produces mistakes faster. The difference is the review.