Cross-industry engineering experience across regulated and high-growth sectors.
All Industries
“The global insurance claims management market is projected to reach $13.95 billion by 2032, growing at 13.3% CAGR.” — Fortune Business Insights
“Insurers using AI-powered automation in claims operations achieve 20–30% reduction in loss adjustment expenses compared to manual claims processing benchmarks.” — McKinsey & Company
USA
PL
UA
MX
TRInsurance claims automation is the use of AI, robotic process automation, and intelligent workflows to handle insurance claims with minimal or no manual intervention. Automated systems process first notice of loss intake, triage and route claims, verify coverage, run fraud scoring on claim data, estimate damages, and settle straightforward claims automatically — reducing processing time from days to hours and cutting loss adjustment expenses across the claims portfolio.
Automatable claims processes include FNOL intake via digital portals or chatbots, automatic data validation and duplicate detection, coverage verification against policy systems, fraud scoring using ML models, damage estimation for standard cases using Xactimate for property and Mitchell for auto claims, adjudication of in-threshold claims without adjuster review, reserve calculation, settlement payment authorization, subrogation opportunity identification, and automated compliance report generation.
AI improves claims processing in several ways: natural language processing extracts structured claim data from unstructured documents, accident reports, and medical records. Computer vision and optical character recognition analyze property damage or vehicle images for automated repair estimates. Machine learning fraud models identify suspicious claim patterns across historical claims data at a scale no manual process can match. Together these capabilities raise straight-through processing rates and improve adjudication consistency.
Straight-through claims processing is the automated handling of an insurance claim from submission to settlement without human adjuster intervention. It applies to straightforward, low-complexity claims that fall within predefined approval thresholds — such as glass claims, minor property damage, or standard life insurance death claims. Industry-leading straight-through processing rates reach 80–90% for eligible claim types, significantly reducing loss adjustment expenses and claims processing time.
Zoolatech implements claims automation for Guidewire ClaimCenter, Salesforce Financial Services Cloud Claims, ClaimsPro by Sapiens, Riskonnect, BriteCore, Duck Creek Claims, and custom-built claims processing systems. Automation layers including ML fraud scoring, RPA data processing, and intelligent document processing are integrated via the platform’s API layer or as standalone services connected to the core claims system.
A focused claims automation engagement covering FNOL automation, standard claims triage, and fraud scoring for a single line of business typically takes 3–6 months from discovery to UAT sign-off. A comprehensive claims automation program covering all claim types, multi-system integrations, and advanced ML models for a full insurance carrier can take 9–15 months. Zoolatech runs a discovery and process mapping phase before any development to confirm scope and timeline.
