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Industry-Specific Solutions

Custom Software For Insurance Systems

Automated Claims Processing and Policy Management at Scale

72 hrsClaims Settlement Time
90%Duplicate Claims Reduction
99.9%Agent Commission Accuracy

Why Insurance Systems Needs Custom Software

Insurance companies process thousands of claims daily, each requiring document verification, policy validation, damage assessment, and payout calculation. Manual processing creates backlogs, increases error rates, and frustrates policyholders waiting weeks for claim resolution. OSO Infotech builds intelligent insurance platforms that automate the entire claims lifecycle — from first notice of loss (FNOL) through document AI extraction, automated policy matching, damage estimation, and payout disbursement. We have deployed systems for general insurers that reduced average claim settlement time from 21 days to 72 hours and cut duplicate claim submissions by 90% through intelligent deduplication algorithms.

Industry Challenges

1

Slow Claims Processing

Manual review of claim documents, photographs, and policy terms by human adjusters creates backlogs of 500+ pending claims per adjuster, with average settlement times exceeding 3 weeks.

2

Duplicate and Fraudulent Claims

Without automated cross-referencing, the same damage event is frequently submitted multiple times across different policy numbers, and staged claims go undetected until post-payment audits.

3

Agent Commission Tracking

Complex multi-tier commission structures across agents, brokers, and sub-agents require precise calculation engines that legacy spreadsheet systems cannot handle at scale without errors.

4

Regulatory Reporting

IRDA and state regulatory bodies require periodic reporting on claim ratios, reserve adequacy, and solvency metrics — reports that take weeks to compile manually from disconnected data sources.

Our Solutions

AI-Powered Claims Automation

Our claims engine uses OCR and NLP to extract key data from claim forms, medical bills, repair estimates, and police reports. It auto-matches against policy terms, calculates eligible payouts, and routes complex cases to human adjusters with pre-populated summaries.

Fraud Detection and Deduplication

Machine learning models analyze claim patterns, cross-reference claimant history, and flag anomalies (same damage photos across multiple claims, suspicious timing patterns) with a 95% accuracy rate.

Agent Portal with Commission Engine

A dedicated agent portal tracks policy sales, renewals, and cancellations in real-time, with a rule-based commission engine that handles hierarchical structures, clawback provisions, and bonus tiers automatically.

Automated Regulatory Dashboard

Pre-built report templates for IRDA submissions pull data directly from the operational database, generating compliant reports in minutes instead of weeks.

Technology Stack

Next.jsNode.jsMongoDBAWS S3Tesseract OCRPythonTensorFlowRedis

Compliance & Standards

IRDA RegulationsData Protection ActSOC 2

Ready to Transform Your Insurance Systems Operations?

Let's discuss your specific challenges and build a solution tailored to your operational requirements, compliance needs, and growth targets.

Modernize Your Insurance Operations
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