Insurance

    AI Transformation of a Multi-Carrier Insurance Platform

    Read Time5 minutes
    IndustryInsurance
    Technologies
    Node.jsMongoDBOpenAILangChainPython

    Case Study: AI Transformation of a Multi-Carrier Insurance Platform

    How we brought AI capabilities to an established multi-carrier insurance platform, automating claims processing, quoting, document ingestion, and policy support across all user roles.

    This project builds on our long-running partnership delivering the original insurance platform, which we have been developing since 2016.

    Background

    Since 2016, we have been building and maintaining a multi-carrier insurance platform that handles the full lifecycle of insurance operations, from submission and quoting to policy issuance, renewals, and claims. The platform serves over 30 insurance companies and supports agents, underwriters, and insureds through dedicated portals.

    As the platform matured and the insurance industry began adopting AI, the client saw an opportunity to transform manual workflows into intelligent, automated processes. Rather than building a separate AI product, we integrated AI capabilities directly into the existing platform, allowing users to benefit immediately without changing their workflow.

    Challenge

    While the platform had already digitized core insurance workflows, several processes still depended heavily on manual effort, slowing down operations and limiting scalability.

    Key challenges driving the AI transformation:

    • Manual Claims Review: Claims processing relied on human review at every step, creating bottlenecks and inconsistencies in turnaround time.
    • Slow Quoting: Risk assessment for new submissions required underwriters to manually review loss history, coverage needs, and carrier rules before generating quotes.
    • Paper-Heavy Ingestion: Agents submitted forms in varied formats including PDFs, scans, and handwritten documents, requiring manual data entry.
    • Coverage Gaps: Agents lacked a systematic way to identify optimal coverage combinations, often defaulting to standard packages instead of tailored recommendations.
    • Loss Run Complexity: Analyzing loss run reports across multiple carriers and years was time-consuming and prone to human error.
    • Information Bottleneck: Agents, underwriters, and insureds all needed quick answers about policies but had no self-service option beyond calling or emailing support.

    AI Features Delivered

    We introduced six AI capabilities across the platform, each addressing a specific operational bottleneck. All features were integrated into the existing user interface so adoption required no retraining.

    • AI-Powered Claim Processing: Automated extraction of claim details from submitted documents, flagging key fields for review and routing claims to the right adjuster based on type and complexity.
    • Intelligent Quoting and Risk Analysis: AI-driven risk scoring that evaluates submission data, loss history, and carrier appetite to generate competitive quotes faster.
    • Automated Form Ingestion: OCR and NLP pipeline that reads uploaded documents in any format, extracts structured data, and populates submission fields automatically.
    • Coverage Recommendations: AI engine that analyzes applicant profiles, industry risks, and historical claims to suggest optimal coverage packages tailored to each submission.
    • Loss Run Analysis: Automated parsing of loss run reports across carriers and policy periods, summarizing trends, flagging high-risk patterns, and feeding insights into the quoting engine.
    • Permission-Aware AI Assistant: A RAG-based chatbot that answers natural language questions about policies, claims, and coverage, scoped to each user's role and data access permissions.

    Role-Based AI Access

    Every AI feature respects the platform's existing role-based access model. Users only see AI-generated insights from data they are authorized to access, maintaining strict data boundaries across carriers and roles.

    How each role benefits from AI:

    • Agents: Policy comparisons, coverage lookups, quoting assistance, and submission status tracking through natural language queries.
    • Underwriters: Risk analysis summaries, loss run insights, exclusion lookups, and carrier-specific rule references.
    • Insureds: Claims process guidance, coverage questions, certificate requests, and policy details in plain language.

    Results

    The AI transformation delivered measurable improvements across the platform:

    • Faster Claims Processing: AI extracts and routes claim details automatically, reducing manual review time and improving consistency.
    • Accelerated Quoting: Risk scoring and quote generation happen in parallel, cutting the time from submission to quote significantly.
    • Eliminated Manual Data Entry: OCR-powered form ingestion handles documents in any format, populating fields without human intervention.
    • Smarter Coverage Selection: AI recommendations help agents identify optimal coverage combinations instead of relying on standard packages.
    • Actionable Loss Insights: Automated loss run analysis surfaces risk patterns and trends that were previously buried in spreadsheets.
    • Self-Service for All Users: The AI assistant gives agents, underwriters, and insureds instant answers without waiting for support.

    Technologies and Tools

    AI capabilities were built on top of the existing MEAN stack platform, adding Python-based ML services, OpenAI integration, and LangChain for the RAG pipeline.

    Node.jsNode.js
    MongoDBMongoDB
    OpenAIOpenAI
    LangChainLangChain
    PythonPython

    Results & Impact

    Measurable outcomes that drove real business value

    0
    AI Features

    AI capabilities deployed across the platform

    0
    User Roles

    Agents, underwriters, and insureds served

    0
    Carriers Onboarded

    Insurance companies on the platform

    0
    Partnership

    Long-running client relationship

    Client Feedback

    "Since 2016, we've been in a great partnership with Angular Minds, and I feel truly lucky to have their team by my side. Together, we've created an insurance platform that automates the entire insurance process - from Quoting to Policy Binding, Renewals, and Payments. Thanks to the hard work of the entire team, we've successfully onboarded over 30 insurance companies onto our platform. Kudos to everyone involved!"

    Derek LovrenichFounder of insurEco System, Inc.

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