Your Claims Logic is Trapped in a 1998 Windows Form

The most dangerous part of an insurance enterprise isn't the fluctuating market or regulatory shifts—it’s the

event handler in a VB6 application that hasn't been documented since the Clinton administration. In the high-stakes world of insurance, the user interface is the documentation. When a claims adjuster navigates a complex series of nested modals to approve a payout, they are traversing a labyrinth of hard-coded business rules that no living developer fully understands.

According to Replay’s analysis, 67% of legacy systems in the financial services sector lack any form of functional documentation. For insurance carriers, this creates a "modernization paralysis." You cannot move to the cloud or adopt AI-driven adjudication if you cannot extract the logic governing your current workflows. The traditional approach—manual requirements gathering and "clean sheet" rewrites—is a recipe for disaster. Industry experts recommend a shift toward visual extraction to bridge this gap.

TL;DR: Manual insurance claims processing extracting of business rules from VB6/Legacy systems takes 40+ hours per screen and has a 70% failure rate. Replay uses Visual Reverse Engineering to convert video recordings of legacy workflows into documented React components and Design Systems, reducing modernization timelines from years to weeks.

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The Crisis of Insurance Claims Processing Extracting#

Insurance claims are not simple CRUD (Create, Read, Update, Delete) operations. They are complex state machines influenced by state-specific regulations, policy riders, and historical precedents. When these rules are buried in Visual Basic 6.0, PowerBuilder, or legacy Delphi applications, the risk of "logic leakage" during a rewrite is astronomical.

The process of insurance claims processing extracting usually involves a business analyst sitting next to a claims adjuster, taking notes as they navigate a green-screen or a clunky WinForms UI. This is inherently flawed. Humans miss edge cases. They forget the specific sequence of "Tab" and "Enter" that triggers a hidden validation rule.

Video-to-code is the process of using computer vision and AI to analyze screen recordings of legacy software, identifying UI patterns, state changes, and business logic to generate modern, documented source code.

The $3.6 Trillion Technical Debt Problem#

The global technical debt has ballooned to $3.6 trillion. In the insurance sector, this debt manifests as "zombie systems"—applications that are too critical to shut down but too fragile to change. When you attempt insurance claims processing extracting manually, you are essentially trying to perform archeology while the building is on fire.

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Why VB6 is the Final Boss of Modernization#

Visual Basic 6 applications are notorious for "spaghetti logic." Unlike modern React applications where state management is centralized (e.g., Redux or Context API), VB6 logic is often scattered across UI event listeners. A single "Calculate Premium" button might trigger a chain of hidden API calls, local database queries, and conditional visibility toggles that are invisible to the naked eye.

When we talk about insurance claims processing extracting, we aren't just talking about the UI layout. We are talking about the intent of the workflow.

Visual Reverse Engineering is the automated analysis of a software’s user interface and behavioral patterns to reconstruct its underlying architecture and logic without access to the original source code.

Replay bypasses the need for the original source code by "watching" the application in action. By recording a claims adjuster processing a standard claim, Replay’s AI Automation Suite identifies the components, the data flow, and the validation logic.

Extracting Logic from the View Layer#

In a legacy VB6 claims environment, a "Total Loss" checkbox might trigger a validation that requires a "Supervisor ID." In the code, this is a mess of

statements. Replay identifies these transitions. It sees the "Before" state, the "Action," and the "Resulting" state.

Modernizing Financial Services requires more than just a fresh coat of paint; it requires capturing these micro-interactions that define the business.

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From Video to React: A Technical Deep Dive#

How does Replay turn a video of a 20-year-old insurance portal into a modern React component? The process involves several layers of analysis:

1. •OCR & Spatial Mapping: The AI identifies every label, input field, and button.
2. •State Transition Analysis: By analyzing the frames, Replay detects how the UI responds to user input.
3. •Componentization: The system groups related elements into reusable React components.
4. •Logic Synthesis: Replay generates the TypeScript logic required to mimic the legacy behavior.

Example: The Legacy "Claims Validation" Logic#

Imagine a VB6 screen where a claim is flagged if the "Damage Amount" exceeds the "Policy Limit." In the legacy system, this might be a hidden label that becomes visible.

Legacy VB6 Logic (Pseudo):

vb
Private Sub txtDamageAmount_Change()
    If Val(txtDamageAmount.Text) > Val(lblPolicyLimit.Caption) Then
        lblWarning.Visible = True
        btnSubmit.Enabled = False
    Else
        lblWarning.Visible = False
        btnSubmit.Enabled = True
    End If
End Sub

When performing insurance claims processing extracting with Replay, the platform generates a clean, functional React component that maintains this logic but adheres to modern architectural standards.

The Generated Modern Equivalent (React + TypeScript)#

Replay's Blueprints editor allows you to refine the generated code, but the initial output provides a production-ready foundation:

typescript
import React, { useState, useEffect } from 'react';
import { Alert, Button, Input } from '@/components/ui';

interface ClaimValidationProps {
  policyLimit: number;
  onValidSubmit: (amount: number) => void;
}

/**
 * Replay Generated Component: ClaimValidation
 * Source: ClaimsPortal_v4_Screen2.mp4
 */
export const ClaimValidation: React.FC<ClaimValidationProps> = ({ policyLimit, onValidSubmit }) => {
  const [damageAmount, setDamageAmount] = useState<number>(0);
  const [isOverLimit, setIsOverLimit] = useState<boolean>(false);

  useEffect(() => {
    // Logic extracted via Replay State Transition Analysis
    setIsOverLimit(damageAmount > policyLimit);
  }, [damageAmount, policyLimit]);

  return (
    <div className="p-4 space-y-4 border rounded-lg shadow-sm">
      <label className="block text-sm font-medium text-gray-700">
        Enter Damage Amount
      </label>
      <Input 
        type="number" 
        value={damageAmount} 
        onChange={(e) => setDamageAmount(Number(e.target.value))}
        className={isOverLimit ? 'border-red-500' : ''}
      />
      
      {isOverLimit && (
        <Alert variant="destructive">
          Warning: Damage exceeds policy limit of ${policyLimit.toLocaleString()}.
        </Alert>
      )}

      <Button 
        disabled={isOverLimit} 
        onClick={() => onValidSubmit(damageAmount)}
      >
        Submit Claim
      </Button>
    </div>
  );
};

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Scaling Insurance Claims Processing Extracting Across the Enterprise#

For a large insurance carrier, one screen is just the beginning. The average enterprise rewrite timeline is 18 months, often because the team gets bogged down in the "Flows"—the sequence of dozens of screens required to complete a single task like "New Auto Policy Onboarding."

Replay solves this through its Flows feature. By recording a complete end-to-end workflow, Replay maps the architectural relationship between screens. This is critical for insurance claims processing extracting because it reveals how data is passed between different modules of the legacy system.

Building a Design System from the Ashes#

One of the biggest hurdles in modernization is the lack of a cohesive design system. Legacy insurance apps are often a patchwork of different UI styles added over decades. Replay’s Library feature automatically identifies recurring UI patterns across your recordings and aggregates them into a unified Design System.

According to Replay's analysis, companies using a centralized component library during modernization save an additional 30% on front-end development costs. Instead of building 50 different "Submit" buttons, Replay identifies them as a single component with different states.

Implementation of a Modernized Claims Hook#

Beyond the UI, Replay helps extract the "Rules Engine" logic. In insurance, rules are everything. Here is how a complex multi-factor validation might look once extracted into a custom React hook:

typescript
// useClaimRules.ts - Extracted from Legacy VB6 Business Logic
import { useMemo } from 'react';

interface ClaimData {
  state: string;
  claimType: 'Auto' | 'Home' | 'Life';
  amount: number;
  yearsInsured: number;
}

export const useClaimRules = (data: ClaimData) => {
  const validation = useMemo(() => {
    const rules = {
      isManualReviewRequired: false,
      requiresPoliceReport: false,
      adjustmentFactor: 1.0,
    };

    // Logic extracted from 'frmClaims_Logic.bas' via Replay
    if (data.amount > 5000) rules.isManualReviewRequired = true;
    
    if (data.claimType === 'Auto' && data.amount > 1000) {
      rules.requiresPoliceReport = true;
    }

    // State-specific regulatory logic extracted visually
    if (data.state === 'NY') {
      rules.adjustmentFactor = 1.15;
    }

    return rules;
  }, [data]);

  return validation;
};

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Addressing Security and Compliance in Regulated Environments#

Insurance is one of the most heavily regulated industries on earth. You cannot simply upload screen recordings of sensitive PII (Personally Identifiable Information) to a public cloud.

Replay is built for these environments. With SOC2 compliance, HIPAA-readiness, and On-Premise deployment options, Replay ensures that your insurance claims processing extracting project doesn't become a liability. The platform includes automated PII masking, ensuring that while the structure and logic of the UI are captured, the actual sensitive data of your policyholders is never processed or stored.

Technical Debt in Insurance is often a security risk in itself. Legacy systems are harder to patch and often rely on deprecated protocols. Modernizing with Replay allows you to move to a secure, modern stack while ensuring that the business logic remains intact.

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The Economics of Visual Reverse Engineering#

Let’s look at the math for a typical insurance claims modernization project involving 100 core screens.

Traditional Manual Approach:

• •100 screens x 40 hours/screen = 4,000 hours
• •Average Developer/BA rate: $150/hr
• •Total Cost: $600,000
• •Timeline: ~12-15 months (with a 70% chance of failure or delay)

Replay Visual Approach:

• •100 screens x 4 hours/screen = 400 hours
• •Total Cost: $60,000 (Development time) + Replay Platform Fee
• •Timeline: ~2-4 weeks
• •Total Savings: >$500,000 and 11 months of time.

Industry experts recommend that enterprises prioritize high-value, high-complexity workflows for visual extraction first. By starting with the most convoluted claims processing screens, you prove the ROI of the platform immediately.

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Frequently Asked Questions#

Does Replay require access to my legacy VB6 source code?#

No. Replay uses Visual Reverse Engineering to analyze the application's behavior through video recordings. This makes it ideal for systems where the source code is lost, undocumented, or written in obsolete languages that current teams cannot navigate.

How does Replay handle complex business logic that isn't visible on the screen?#

While Replay excels at extracting UI-driven logic, it also captures the effects of backend logic (state changes, error messages, data transformations). For deep backend calculations, Replay provides the architectural "Flows" and "Blueprints" that tell your backend engineers exactly what the new API needs to accomplish to support the UI.

Can Replay generate code for frameworks other than React?#

Currently, Replay is optimized for React and TypeScript, as these are the industry standards for enterprise modernization. The generated components are designed to be framework-agnostic in their logic, allowing for easy adaptation if necessary.

Is the code generated by Replay "clean" or is it machine-code?#

Replay generates human-readable, documented TypeScript and React code. It follows modern best practices, including componentization, prop-typing, and clean state management. It is designed to be a "developer-in-a-box" that provides a 70-80% head start on development.

How do you handle PII (Personally Identifiable Information) in the recordings?#

Replay includes built-in AI-powered masking that redacts sensitive information during the recording and analysis phase. Furthermore, for highly sensitive environments, Replay can be deployed entirely On-Premise, ensuring no data ever leaves your network.

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The Future of Modernization is Visual#

The era of the 24-month "big bang" rewrite is over. The risks are too high, and the $3.6 trillion technical debt mountain is growing too fast. For insurance companies, the key to agility lies in insurance claims processing extracting—taking the "brain" out of the legacy system and transplanting it into a modern, scalable React architecture.

By leveraging Visual Reverse Engineering, you aren't just updating a UI; you are reclaiming your business logic from the "black box" of the past. You are turning institutional knowledge that currently lives in the heads of a few veteran adjusters into documented, version-controlled code.

Ready to modernize without rewriting? Book a pilot with Replay and see how we can convert your legacy workflows into a modern React library in days, not years.