Ship your product 2.5x faster.Explore AI-assisted development

Insurance Fraud Detection Software Services We Offer

We build custom solutions that strengthen fraud prevention across your insurance operations and fit your existing technology environment

Custom fraud detection software

Building fraud detection platforms that expose claim risk before payout and reduce financial losses through structured investigation

AI fraud detection models

Developing AI and machine learning models trained on insurer data to recognize fraud patterns and improve risk scoring

Integration and modernization

Connecting fraud detection tools with claims platforms and data sources, upgrading legacy systems without disrupting operations

Fraud detection consulting and audit

Reviewing your fraud detection system to uncover weaknesses and define practical improvements that strengthen accuracy

Insurance Fraud Detection Software Features We Develop

Purpose-built fraud detection modules that rank claim risk and give investigators clearer evidence for each review

Anomaly detection

AI flags unusual claims and transaction patterns so fraud investigators can quickly prioritize the highest-risk cases

Real-time claims monitoring

Real-time monitoring checks incoming claims and alerts investigators to suspicious activity before payouts occur

Case management

Investigation workspaces centralize case activity, speeding reviews and coordination between investigators and claims staff

Predictive risk scoring

Risk scoring models estimate fraud likelihood before claim approval to focus reviews on cases with the highest potential risk

Identity verification and KYC

Identity checks verify policyholder data against trusted sources to reduce fraud during onboarding and claims processing

Fraud analytics dashboards

Interactive dashboards track fraud detection performance and reveal where insurers can improve investigation results over time

Pattern analysis

Behavioral analytics uncover links across claims, policyholders, providers, and past activity to expose organized fraud

Watchlist screening

Automatic screening checks parties against fraud databases, sanctions lists, and watchlists during verification stages

Compliance management

Configurable rules adjust fraud controls to changing regulations and insurer policies without rebuilding the entire platform
Build custom insurance fraud detection software that helps your team detect fraud earlier and investigate cases faster, reducing claims losses
Strengthen insurance fraud prevention

Insurance Software We've Delivered

We develop insurance software that fits your operational workflows and strengthens fraud prevention across the claims lifecycle

Car Insurance Platform
Under NDA

USA

Insurance

Car Insurance Platform

Challenges solved during the creation of an auto insurance platform:

  • Delivered one web platform, iOS and Android apps, plus CRM integration for synchronized customer and policy data
  • Added KYC identity verification to confirm customer data before policy activation and reduce risks linked to unverified applicants
  • Automated claims filing with status tracking, document access, and real-time communication between policyholders and insurance staff

Learn about Cleveroad’s expertise in Projects Portfolio

in Projects Portfolio

Show more

Our Clients Say About Us

Client photo...
DK flagDenmark
FinTech

CTPO of Penneo A/S

"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."

AI Technologies We Apply in Insurance Fraud Detection

AI strengthens insurance fraud detection through hidden-pattern analysis and faster case triage across complex claim workflows

Network and link analysis

AI maps hidden links between claim participants to expose organized fraud schemes

  • Reveal connected fraud networks

  • Detect suspicious relationships

  • Surface coordinated activity

Document and image forgery detection

Computer vision analyzes claim documents and images for tampering before approval

  • Detect altered documents

  • Identify manipulated images

  • Flag suspicious submissions

Natural language processing for claims

NLP scans claim texts for inconsistencies, suspicious wording, and fraud patterns

  • Analyze claim narratives

  • Detect inconsistent statements

  • Surface fraud indicators

Agentic AI for investigation automation

AI agents automate investigation workflows while keeping fraud analysts in control

  • Gather supporting evidence

  • Recommend next actions

  • Prepare investigation summaries

Discuss an AI-powered fraud detection system that fits how your insurance team investigates suspicious activity
Build AI-driven fraud detection

Choose Delivery Model that Fits Your Project

We offer flexible engagement options from a classic human team to AI-native squad. Pick the model that matches your scope and budget

Traditional team

Iterative

The dependable, human-led baseline suited to any kind of project.

Base

Development budget

Team composition

  • Project Manager
  • Business Analyst
  • UI/UX Designer
  • QA Engineer
  • Backend Engineer
  • Solution Architect
  • Frontend Engineer
  • DevOps Engineer

Iterative delivery

Spec evolves during delivery

Write a sprint scope, deliver it, try it, then revise the spec or functionality.

Best for

Flexible-scope projects where each iteration reshapes the plan as you go

AI-assisted team

Iterative + AI

Your familiar full-stack squad, accelerated with AI support in every role.

30% less

Development budget

Team composition

  • Project Manager
  • Business Analyst
  • UI/UX Designer
  • QA Engineer
  • Backend Engineer
  • Solution Architect
  • Frontend Engineer
  • DevOps Engineer
+

Iterative delivery

Spec evolves during delivery

The same write-deliver-review sprint repeats, just accelerated with AI.

Best for

Brownfield projects that need fast iteration without locking scope too early

AI-native team

Spec-first

A minimal lean team with maximum AI leverage and strict human oversight.

50% less

Development budget

Team composition

AI Solution Architect. Owns the approved spec and the architecture the build follows

Prompt Engineer. Turns the spec into precise prompts and guardrails for AI code generation

AI Product Owner. Owns milestones and acceptance against the fixed spec

+

Milestone delivery

Spec locked before delivery

Approve once upfront. The spec becomes the source of truth for milestones.

Best for

MVPs and greenfield projects with fixed scope and milestone-driven delivery

Benefits of Custom Insurance Fraud Detection Software

With insurance fraud costing $308.6B a year, custom detection software targets your risk model to cut losses and speed investigations

Higher fraud detection accuracy

Models learn from your claims data and detection rules. Fraud investigators identify suspicious activity earlier with scoring based on real risk patterns

Faster insurance decisions

Risk scores surface relevant concerns at each review stage. Claims specialists and underwriters reach decisions faster because high-risk cases receive attention first

Lower fraudulent claim losses

Automated controls flag risky submissions before payouts. Investigators focus on stronger fraud signals, reducing losses without delaying legitimate claims

Fewer false positives

Custom models learn real fraud patterns. Legitimate customers face fewer unnecessary reviews, while investigators spend less time on low-value alerts

Tech Stack We Use for Insurance Fraud Detection Software

Cleveroad engineers select technologies based on your fraud detection model, data architecture, integration scope, and security requirements

Claims management systems

Guidewire ClaimCenter

Duck Creek Claims

Majesco Claims

Sapiens ClaimsPro

Policy administration systems

Guidewire PolicyCenter

Duck Creek Policy

Socotra

Applied Epic

Identity verification and KYC

Onfido

Jumio

Trulioo

Sumsub

Data and watchlist services

LexisNexis Risk Solutions

Experian

ComplyAdvantage

Dow Jones Risk & Compliance

Payment and transaction systems

Stripe

Adyen

Plaid

PayPal

Front-end

React.js

Angular

Vue.js

Next.js

TypeScript

Back-end

Node.js

NestJS

.NET Core

Python

Java

Databases

PostgreSQL

MySQL

MongoDB

Redis

Elasticsearch

iOS

Swift

SwiftUI

Android

Kotlin

Java

Cross-platform

Flutter

React Native

Machine learning frameworks

TensorFlow

PyTorch

Scikit-learn

XGBoost

LightGBM

Computer vision

OpenCV

YOLO

Amazon Rekognition

Azure AI Vision

MLOps and model management

MLflow

Kubeflow

Azure Machine Learning

Amazon SageMaker

Natural language processing

spaCy

Hugging Face Transformers

Amazon Comprehend

Azure AI Language

Graph analytics

Neo4j

NetworkX

Amazon Neptune

Cloud platforms

AWS

Microsoft Azure

Google Cloud

Containers and orchestration

Docker

Kubernetes

CI/CD and monitoring

GitHub Actions

GitLab CI/CD

Prometheus

Grafana

Sentry

Certifications

We keep deepening our expertise to meet your highest expectations and build business innovative products

ISO 27001

ISO 27001

Information Security Management System

ISO 9001

ISO 9001

Quality Management Systems

AWS

AWS

Select Partner Tier

AWS

AWS

Solutions Architect, Associate

Scrum Alliance

Scrum Alliance

Advanced Certified Scrum Product Owner

AWS

AWS

SysOps Administrator, Associate

Our Expertise in Insurance Regulations

We build insurance software with regulatory controls embedded into its architecture and verified throughout delivery

Data privacy and protection

  • GDPRflag
  • GLBAflag
  • UK GDPRflag
  • PIPEDAflag
  • CCPA / CPRAflag

Anti-money laundering and KYC

  • FATFflag
  • AMLD6flag
  • Bank Secrecy Actflag
  • POCAflag
  • USA PATRIOT Actflag

Insurance industry standards

  • NAIC Model Lawsflag
  • IDDflag
  • NAIC DSLflag
  • ACORD Standardsflag
  • Solvency IIflag

Information security standards

  • ISO/IEC 27001flag
  • NIST CSFflag
  • SOC 2 Type IIflag
  • PCI DSSflag

Industry Contribution Awards

Leading rating & review platforms rank Cleveroad among top software development companies due to our tech assistance in clients' digital transformation.

70 clutch reviews

4.9

Award

Award

Clutch 1000 Service Providers, 2024 Global

Award

Award

Clutch Spring Award, 2025 Global

Ranking

Ranking

Top AI Company,
2025 Award

Ranking

Ranking

Top Software Developers, 2025 Award

Ranking

Ranking

Top Web Developers, 2025 Award

Ranking

Ranking

Top Staff Augmentation Company in USA, 2025 Award

Talk to an insurance software expert
Discuss your fraud detection software with specialists who understand insurance workflows and can turn your requirements into a working product

Why Choose Us as Your Insurance Fraud Detection Software Company

We turn complex fraud investigation requirements into secure software aligned with your insurer’s data environment and operating model

member

Oleksandr Riabushko

Engagement Director

  • Proven expertise in insurance and FinTech software

    Since 2011, Cleveroad has delivered 200+ digital products, including solutions for regulated insurance and FinTech operations. This background helps us translate complex fraud scenarios into practical software logic that supports real investigation processes

  • AI built around insurance data

    Our AI engineers design detection models around your historical cases and risk criteria rather than generic fraud assumptions. You get explainable scoring that reflects how suspicious activity appears across your specific insurance products

  • Compliance embedded from discovery

    Cleveroad’s ISO/IEC 27001-certified processes bring security controls and auditability into the architecture before development begins. Your fraud detection software follows applicable privacy and insurance requirements without costly compliance fixes near release

  • Full-cycle product ownership

    Our in-house specialists take responsibility from system assessment through implementation and post-release support under one contract. You retain one accountable partner as fraud patterns change and your detection software requires further development

Questions You May Have
Practical answers about building insurance fraud detection software
How much does custom insurance fraud detection software cost?
A focused MVP usually falls between $60,000 and $150,000+, while an enterprise platform with custom models, legacy connections, and investigation modules may start at $150,000. Cost grows with data preparation, rule complexity, external data sources, user roles, and model explainability requirements. After discovery, we break the estimate down by product module, integration, AI workload, and delivery stage.
Can you integrate with our existing policy and claims systems?
Yes. The fraud detection layer can connect to policy administration, claims management, CRM, identity, payment, and document systems without replacing the insurer’s current core. Risk scores and alerts can return directly to familiar workflows, while investigation outcomes feed back into the model.
How long does it take to build?
A focused fraud detection MVP often takes four to six months. More advanced platforms need additional time for data preparation, model validation, and insurer-side testing. The schedule usually depends on:

  • Data quality: incomplete records extend preparation work
  • Detection scope: more fraud scenarios require added model logic
  • System access: legacy APIs can slow integration work
  • Validation needs: regulated workflows require controlled testing
How do you keep the software compliant?
Compliance begins with data mapping, access rules, retention requirements, and model accountability before development starts. We add encryption, role-based permissions, regional data storage, audit trails, and traceable decision logic into the product architecture. Requirements such as GDPR, GLBA, AML, KYC, and ISO/IEC 27001 practices are matched to the insurer’s market, fraud process, and data sources.

Latest Insights

BlogFintech
Insurance App Development: Everything to Consider in 2026

Dec 16, 2025

BlogAI
AI in FinTech in 2026: Benefits and Use Cases

Dec 01, 2025

BlogAI
Machine Learning in Fintech in 2026: 7 Impactful Use Cases

Oct 14, 2025

Start growing your business with us
By sending this form I confirm that I have read and accept the Privacy Policy