Accelerating Property Damage Estimation with Mobile & AI
Challenge:
Fragmented systems and manual processes complicated workflows, slowing and reducing the quality of reports and estimates.
Industry
Insurance
Solutions:
- Mobile-First Approach with 3D Modeling
- AI-powered Damage Detection
Results:
50% less time spent, 30% fewer missed line items, 3 days → 1 day scope assembly, 30% faster job creation
Location:
USA
About the Client
The client is a leading provider of property damage estimation and claims support services. They work closely with public adjusters, restoration companies, and property attorneys to deliver accurate, time-sensitive damage assessments.
The company handles over 7000 estimates annually. However, manual processes limited their ability to scale while maintaining speed and accuracy. The company recognized the need to modernize its workflows by leveraging technologies such as AI and 3D modelling. They aimed to accelerate scope assembly, reduce missed line items, create jobs faster, and deliver quality estimates more efficiently. It also sought to enhance inspection documentation with richer visual context that could serve as clear, defensible evidence during claim reviews.
Case Overview
Fingent helped the client develop an open-source, mobile-first application for field inspectors. The application eases job creation, speeds property scanning and damage analysis, centralizes documentation, and accelerates scope assembly.
The application includes LiDAR-based interior scanning that lets inspectors capture room dimensions, structural layouts, photographs, annotations, and field notes. 3D modelling digitizes property layout creation, improving the speed and accuracy of inspection documentation. The platform also uses AI-powered computer vision to enhance damage detection. Fingent’s solution enables the company to deliver accurate, quality estimates on time, while scaling inspection volumes without increasing manual effort.
CHALLENGES
Roadblocks Faced In The Existing Systems
Weak reports & documentation
Challenged evidence in review
2- 4 hrs spent in documentation
Fragmented systems and manual overload
Inability to offer on-site scope
SOLUTION
Fingent’s Approach - Mobile-First Approach with 3D Modeling & AI
The open-source mobile application equally empowers office teams and on-site inspectors. Where offsite teams can seamlessly create Jobs, auditors in the field get a clear view of the scheduled jobs as per priority. The app’s LiDAR-based interior scanning helps instantly capture room dimensions, structural layouts, photographs, annotations, and field notes. Users can also generate accurate 3D models and floor plans on the go.
The system also uses OpenAI and the REST API to extract job and quotation details from lengthy emails and PDF documents. This speeds review and accelerates job creation. AI-powered computer vision empowers inspectors to quickly identify roof and interior property damage, enabling faster assessments.
Integrates with a web portal, enabling back-office teams to coordinate inspections
Custom tagging helps organize images and associate property assets better
Enables voice and text notes with image annotations to provide richer evidence
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BENEFITS
Making An Impact On Client Success
What previously took approximately 4 hours to review photos and translate damage into line items can now be completed in about 1 hour, reducing the overall time spent turning field inspections into estimates by 50%. Centralized data capture, with images, notes, and damage details maintained in context, also helps reduce missed line items and improve estimate completeness. Faster job creation and streamlined inspections further reduce scope assembly time from 3 days to 1 day.
Faster property analysis and more accurate estimation reports
Centralized data access & management
Richer inspection documentation
Faster turnaround times for insurance claims
