Ask any independent roof assessor what they spend most of their time on, and the answer is never 'inspecting roofs.' It is always some variation of 'writing reports,' 'sorting photos,' 'formatting documents,' or 'chasing templates.' The inspection itself, the part that requires professional expertise, the part the client is actually paying for, accounts for a minority of the assessor's working day.
We surveyed 120 assessors across Australia and New Zealand in late 2025. The average time spent compiling a single residential roof inspection report was 3.5 hours. The inspection itself, travel, site access, capture, and on-roof assessment, averaged 2.1 hours. The report took longer than the inspection.
Where the time goes
Report compilation is not a single task. It is a chain of small, repetitive activities that add up: selecting the best photographs from 80 to 200 captures, cropping and annotating them, writing descriptive text for each damage finding, populating property information fields, formatting everything into the insurer's required template, proofreading, and exporting to PDF.
Each of these steps is manual. Each introduces the possibility of error. Each takes longer than it should because the tools were not designed for the job, most assessors use a combination of Microsoft Word, a photo editor, and sometimes a spreadsheet to compile what should be a structured, automated output.
The most time-consuming step, consistently, is photo management. An assessor captures 80 to 200 images per property. They need to identify the 20 to 40 that belong in the report, label each one, associate it with a specific finding or section, and ensure the images are in the correct order. This step alone averages 45 minutes per report.
The cost calculation
At an average assessor rate of $95 per hour (blended across independent and employed assessors), 3.5 hours of report compilation costs $332.50 per report. For an assessor completing 4 reports per day, that is $1,330 per day spent on administrative output rather than professional assessment.
Scale that across a panel of 40 assessors working 220 days per year, and the aggregate cost of report compilation is approximately $11.7 million annually, for one insurer's assessor panel. This is not the cost of inspections. This is the cost of turning inspections into documents.
During catastrophe events, severe hailstorms, cyclones, flooding, these costs spike. Claim volumes increase 5x to 10x, but assessor capacity does not. The backlog compounds in the reporting phase, not the inspection phase, because every assessor can inspect more properties than they can write reports for.
Quality variance
Cost is only half the problem. The other half is quality variance. When an assessor is rushing to complete their fourth report of the day at 7pm, the quality of report #4 is not the same as report #1. Descriptions become shorter. Photo selections become less thorough. Formatting inconsistencies creep in.
For insurers managing a panel of assessors, this variance is a material risk. A poorly documented report that results in a disputed claim costs significantly more than the original report, supplementary inspections, second opinions, internal reviews, and potential litigation all add to the cost stack.
One national insurer we work with estimated that 18% of their claim disputes originated from insufficient or inconsistent report documentation, not from disagreements about the actual damage, but from reports that did not adequately document what the assessor observed on site.
What automation changes
ARIS Detect reduces the average report compilation time from 3.5 hours to approximately 15 minutes. The workflow is fundamentally different: the assessor uploads imagery, the AI identifies and categorises damage, the assessor reviews and confirms findings, and the system generates a formatted, branded PDF with all imagery, annotations, measurements, and narrative text included.
The assessor's role shifts from document assembly to quality assurance. They spend their time confirming AI detections, adding professional observations that require human judgment, and ensuring the report accurately represents the property condition. The repetitive work, photo selection, annotation, formatting, template population, is handled by the platform.
For the 120 assessors in our survey, those who had transitioned to ARIS Detect reported completing 6 to 8 inspections per day compared to their previous 3 to 4. Their hourly rate remained the same, but their productive output nearly doubled. Several reported that the quality of their evenings improved materially, no more spending 2 to 3 hours after dinner finishing reports.
The resistance pattern
Despite the numbers, adoption is not instant. Many assessors have spent years building report templates that they are proud of. The formatting, the language, the structure, it represents their professional identity. Asking them to hand that over to a platform feels like a loss of control.
The assessors who adopt fastest are typically those with the highest claim volumes, they feel the pain of manual reporting most acutely. The assessors who resist longest are often those with lower volumes who have optimised their manual workflow over years and do not see the efficiency gap as clearly.
The tipping point, consistently, is the first catastrophe event after adoption. When claim volumes spike and every other assessor in the panel is drowning in a reporting backlog, the ARIS users are delivering reports in real-time from the field. That visibility, seeing colleagues struggle with a problem you no longer have, is the most effective adoption driver we have observed.
Damon Smith
Founder, ARIS Detect