Markovate - Generative AI Development Company

Insurance AI Development

Custom AI Solutions for Insurance

We help insurers harness the power of AI to streamline claims processing, enhance customer experiences, and improve fraud detection, all while delivering data-driven insights for better decision-making.

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  • Deployed in Your Infrastructure
AI processing an auto insurance claim: damage detected in vehicle photos, documents extracted, then coverage, fraud check, damage estimate and settlement completed, with straight-through processing stats

AI use cases for insurance

Our Expertise in Insurance AI Solutions

SUBMISSION SUB-30418 · PROPERTYbroker: MarshSubmissionACORD 125 + SOVTIV $48MRisk dataCAT + COPE enrichedLoss historyLR 38% · 5 yrsquoteGuidelineswithin appetiteQ-77120$412k premiumissued ✓applying underwriting rules_quoted in 18 min ✓
Underwriting · Automation

AI Underwriting Automation

Our AI reads each submission, enriches it with risk and loss data, applies your underwriting guidelines, and prepares a quote, so underwriters spend their time on judgment calls instead of data entry.

  • Guideline-based decisions
  • Data enrichment
  • Faster quotes
RISK SCORE · 14 HARBOR RD · WAREHOUSECOPE + CATRISK SCORE68FLOOD ZONEAEPROTECTIONClass 4LOSS RATIO38%Risk factorsFloodWindFireLiabilityCrimeAI recommendationsAdd flood deductibleVerify sprinklersWind rate +6%Accept with termsscoring 140 risk signals_risk tier B ✓
Underwriting · Risk

AI Risk Assessment & Scoring

Score every risk consistently using property, location, catastrophe, and loss history data, with clear risk factors and recommended terms that underwriters can review and adjust.

  • Consistent risk scores
  • Explainable factors
  • Recommended terms
INBOX · submissions@carrier.com3 newMarsh · brokerWarehouse propertyAon · brokerFleet auto renewalWTW · brokerGL + umbrellaPDFXLSXExtracted submissionINSUREDHarbor LogisticsCLASSWarehousingTIV$48.2M · 6 sitesLIMITS$10M / $25MLOSS RUNS5 yrs · 3 claimsEFFECTIVEJan 1, 2027reading ACORD, SOV + loss runs_submission logged ✓
Underwriting · Documents

AI Insurance Document Analysis

Turn broker emails, ACORD forms, statements of values, and loss runs into structured data automatically, so every submission is complete and ready for underwriting in minutes.

  • ACORD + SOV + loss runs
  • Structured fields
  • Ready to rate
OUR FEATURED WORK

Optimizing Insurance Workflows with AI, Engineered for Smarter Decisions

AI Document Data Extraction
- Intelligent Data Extraction Tool

Redefined Large-Scale Document Processing for Accurate Insurance Submissions

We developed an Generative AI-powered document data extraction tool that automates data collection and validation for insurance brokers and underwriters, ensuring accurate submissions and enabling faster and more precise underwriting decisions.
  • 80% improved accuracy in data extraction and validation
  • Identifies missing fields and ensures data consistency
  • Scalable for handling high-volume submissions
  • Improved underwriting decisions with accurate data insights
- Risk Assessment Tool

Enhanced Cash Disbursements Efficiency in Insurance with AI-Driven Risk Assessment

We developed a risk assessment tool to a large healthcare insurance provider to significantly improve audit accuracy and reduce financial risks with advanced transaction anomaly detection and financial risk scoring.
  • Enhanced invoice processing with 98% accuracy
  • Financial risk scoring for prioritizing investigations
  • Reduced error rate from 8% to 2%
  • Lower operational costs with automated anomaly detection
AI Risk Assessment Tool

Explore more Insurance AI solutions we've engineered

Insurance AI Development-example-of-work

Reducing Claim Processing Time with AI Automation

For a leading insurance provider, we developed an AI-powered claims processing platform that transformed the workflow by automating medical code extraction and assignment. Using advanced NLP, the solution accurately generates and validates ICD-10 and CPT codes from claims documents, reducing human errors by 20% and improving claims accuracy by 15%. The platform’s custom dashboard provides user controls for adjusting AI-generated results, enhancing accuracy and flexibility. This automation led to a 40% increase in processing speed, significant cost savings, and a reduction in manual effort. Learn More

MLOps-enhanced gen AI pipeline evaluation to boost underwriting accuracy

We partnered with a leading risk assessment provider to optimize their AI solution for insurance underwriting, focusing on accuracy, reliability, and fair outcomes. By customizing the AI pipeline, we addressed key challenges like bias and error rates, ultimately boosting underwriting accuracy by 20% and reducing errors by 30%. With added transparency and control, the updated AI system provided underwriters with dependable insights, enhancing decision-making and contributing over $20M in revenue growth. Learn More

Enhancing Customer Retention with Predictive Analytics

We developed a predictive analytics tool for an insurance provider to help identify customers at risk of leaving and improve retention. The solution analyzes policy, claims, and interaction data, providing a risk score for each customer and recommending targeted retention actions. Integrated with their CRM, it triggers automated strategies, such as personalized offers or proactive communications. The provider saw a 20% boost in customer retention within six months, strengthening loyalty and reducing churn-related revenue loss.

Works with your insurance stack

Built for Your Insurance Environment

Our AI solutions connect to the core policy, claims, and billing systems your teams already use, so data flows from submission to settlement without rip-and-replace.

Core Systems

Policy, claims & billing

  • Guidewire
  • Duck Creek

Data Standards

Insurance data exchange

  • ACORD
  • REST APIs

CRM & Service

Customers & agents

  • Salesforce
  • Microsoft Dynamics

Data & Analytics

Warehouses & BI

  • Snowflake
  • Power BI

Cloud

Deploy where you run

  • AWS
  • Azure

Other Tools

Custom integrations

Running in-house or legacy systems? We build custom connectors for those too. Talk to us →

Accelerate your insurance AI initiatives with Markovate. Get a Proof of Concept within weeks.

FAQs

Insurance AI development

What kind of data is needed to train AI models for insurance fraud detection, and how secure is it?

The AI models we develop require access to historical claims data, transaction records, loss runs, and schedule of values data. All data is encrypted and handled securely, adhering to industry standards like GDPR and local data protection regulations.

What are the potential cost savings and ROI from adopting AI-powered insurance solutions?

AI can reduce operational costs through automation, faster claims processing, and improved fraud detection. The ROI depends on the scale of the implementation but typically starts showing within 6-12 months.

How quickly can AI solutions be implemented in insurance operations?

The implementation timeline depends on the complexity of the solution, but AI initiatives like customer service chatbots or claims automation can be developed and deployed in as little as a few weeks. Markovate offers rapid Proof of Concept (POC) development to kickstart AI projects.

What infrastructure and technology stack are required to support the AI solution?

The AI solutions require a scalable cloud infrastructure such as AWS, Google Cloud, or Azure for data storage and processing. We leverage technologies like Python, TensorFlow, PyTorch, and Kubernetes for model training and deployment. Additionally, secure APIs and integration layers ensure smooth connectivity with your existing systems.

How does the AI solution ensure the privacy and security of sensitive insurance data?

We implement advanced encryption, access control, and compliance measures to safeguard sensitive customer and insurance data. With every AI solution, we follow data protection standards like GDPR, ensuring all information is securely managed and stored.

What is the process for transitioning from traditional insurance workflows to AI-driven automation?

We follow a step-by-step process: assessing your current workflows, defining AI integration points, creating a customized AI solution, and offering a phased implementation to ensure smooth transition with minimal disruption.

Fast-track your AI implementation with a Proof of Concept. Learn how we can build a POC for your insurance business within weeks.