Insurance Verification Workflow
Run ID: 69cc98a13e7fb09ff16a36182026-04-01Compliance
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This document outlines the detailed professional output generated by the AI for Step 4 of the "Insurance Verification Workflow". This step focuses on leveraging AI capabilities to process data obtained from insurance APIs (Next Insurance, Hippo, Indio, Vertafore) and produce a comprehensive, actionable verification report for each new contract.

Workflow Context

Workflow: Insurance Verification Workflow

Description: Automatically verify insurance coverage for new contracts using Next Insurance, Hippo, Indio, or Vertafore APIs.

Current Step (4 of 6): AI → generate

Purpose of this Step: To synthesize verified insurance data, compare it against contract requirements, identify discrepancies, and generate a clear, actionable verification report for internal stakeholders.

Overview of AI Generation Step

The AI generation step is the core analytical phase where raw data from insurance providers is transformed into intelligent, business-ready insights.

Purpose

The primary purpose of this AI-driven generation is to:

Inputs to AI

The AI receives the following crucial inputs to perform its analysis and generation:

  1. New Contract Details:

* Contract ID/Name

* Client/Counterparty Name

* Specific insurance requirements outlined in the contract (e.g., minimum coverage limits for General Liability, Professional Liability, Workers' Compensation; specific endorsements like "Additional Insured").

* Effective Date of Contract.

  1. API Responses from Insurance Providers:

* Structured data (JSON/XML) containing verified policy details for the counterparty (e.g., policy number, provider, coverage types, limits, effective/expiration dates, deductible information, endorsements).

* Status of API calls (success/failure).

* Raw data from Certificate of Insurance (COI) documents if OCR/data extraction is part of an earlier step or backup.

AI Process

The AI executes the following sub-steps to generate the output:

  1. Data Ingestion & Normalization: Consumes structured data from various API responses, normalizing different data formats into a standardized internal schema.
  2. Information Extraction: Identifies key data points such as policy numbers, coverage types, limits, effective/expiration dates, and specific endorsements.
  3. Contract Requirement Parsing: Extracts and interprets the insurance requirements specified within the new contract document.
  4. Automated Comparison & Analysis: Compares the extracted policy details against the parsed contract requirements.

* Verifies minimum coverage limits.

* Checks for required coverage types.

* Confirms policy effective and expiration dates relative to the contract term.

* Identifies specific endorsements (e.g., "Additional Insured").

  1. Discrepancy Identification: Flags any mismatches, shortfalls, or missing requirements.
  2. Risk Assessment: Assigns a preliminary risk level based on the severity of identified discrepancies.
  3. Report Generation: Structures all findings into a human-readable and machine-parseable report.

Detailed AI-Generated Output Structure

The AI will generate a comprehensive "Insurance Verification Report" for each new contract. This report is designed to be immediately actionable and provide all necessary details for stakeholders.


Insurance Verification Report for Contract: [Contract ID/Name]

Generated On: YYYY-MM-DD HH:MM:SS (UTC)

Verified By: AI-Powered Insurance Verification System

Client/Counterparty: [Client/Counterparty Name]


I. Executive Summary

* [VERIFIED / PENDING / NON-COMPLIANT / FAILED_VERIFICATION]

Example:* VERIFIED - All insurance requirements met.

Example:* NON-COMPLIANT - Discrepancies found; immediate action required.

Example:* PENDING - Some data missing; further action required.

* Brief, high-level summary of the verification outcome.

Example (Verified):* "All required insurance coverages and limits are confirmed to be in compliance with contract terms."

Example (Non-Compliant):* "General Liability limit ($1M) is below contract requirement ($2M). Professional Liability policy is missing."

* Clear, concise next steps based on the verification status.

Example (Verified):* "Proceed with contract finalization."

Example (Non-Compliant):* "Contact [Client/Counterparty Name] to request an updated Certificate of Insurance with increased General Liability limits and evidence of Professional Liability coverage. Escalate to Legal/Risk if not resolved within 3 business days."

II. Contract Insurance Requirements

* General Liability: Minimum $[X]M per occurrence, $[Y]M aggregate.

* Professional Liability: Minimum $[Z]M per claim.

* Workers' Compensation: Statutory limits.

* Additional Insured Endorsement: Required for [Your Company Name].

* Policy Term: Must cover the full contract duration.

Additional requirements as specified in the contract.*

III. Verified Insurance Policy Details (from API/Source)

* General Liability:

* Limit Per Occurrence: $[Amount]

* Aggregate Limit: $[Amount]

* Deductible: $[Amount]

* Professional Liability (E&O):

* Limit Per Claim: $[Amount]

* Aggregate Limit: $[Amount]

* Deductible: $[Amount]

* Workers' Compensation:

* Coverage: [Statutory / Other]

* State(s) Covered: [State(s)]

* Other Coverages (if applicable): [Type] - Limit: $[Amount], Deductible: $[Amount]

* Additional Insured: [Yes/No] (If Yes, specify named entity: [Your Company Name])

Other relevant endorsements identified.*

IV. Compliance Analysis

This section details the comparison between the Contract Requirements and the Verified Policy Details.

* Requirement: Min. $2M per occurrence, $4M aggregate.

* Verified: $1M per occurrence, $2M aggregate.

* Compliance Status: NON-COMPLIANT

* Discrepancy: Per occurrence and aggregate limits are $1M and $2M below contract requirements, respectively.

* Requirement: Min. $1M per claim.

* Verified: Not found / Missing.

* Compliance Status: NON-COMPLIANT

* Discrepancy: No Professional Liability policy found or verified.

* Requirement: Statutory limits.

* Verified: Statutory limits confirmed for [State].

* Compliance Status: COMPLIANT

* Requirement: Required for [Your Company Name].

* Verified: Confirmed.

* Compliance Status: COMPLIANT

* Requirement: Must cover contract duration (YYYY-MM-DD to YYYY-MM-DD).

* Verified: YYYY-MM-DD to YYYY-MM-DD.

* Compliance Status: COMPLIANT

V. Actionable Recommendations

Based on the Compliance Analysis, the AI provides specific, actionable recommendations.

* Recommendation: "No further action required. This contract is cleared for insurance compliance. You may proceed with contract execution."

* Recommendation 1: "Contact [Client/Counterparty Name] immediately to request an updated Certificate of Insurance (COI) and/or policy documentation that addresses the following:

* Increase General Liability limits to $2M per occurrence and $4M aggregate.

* Provide evidence of a Professional Liability policy with at least $1M per claim."

* Recommendation 2: "Set a follow-up reminder for [X] business days to ensure updated documentation is received."

* Recommendation 3: "If discrepancies are not resolved by [Date], escalate this case to [Relevant Department/Person, e.g., Legal Counsel, Risk Management]."

* Recommendation 4 (for missing data): "Manual review required for [specific data point]. Please retrieve from [source] or contact client."

VI. Source Data & Audit Trail

text • 311 chars
*   **Verification Timestamp:** YYYY-MM-DD HH:MM:SS (UTC)

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#### **VII. Raw Data Output (for System Integration)**

For seamless integration with CRM, ERP, or other internal systems, the AI also produces a structured data output, typically in JSON format, containing all the details from the report above.

Sandboxed live preview

Insurance Verification Workflow: Detailed Plan & Execution Strategy

Workflow Name: Insurance Verification Workflow

Description: Automatically verify insurance coverage for new contracts using Next Insurance, Hippo, Indio, or Vertafore APIs.


1. Workflow Overview & Objectives

This document outlines the comprehensive plan for implementing an automated insurance verification workflow. The primary goal is to streamline the process of validating insurance coverage for newly acquired contracts, reducing manual effort, accelerating contract finalization, and minimizing risk.

Key Objectives:

  • Automate Verification: Eliminate manual data entry and verification steps.
  • Expedite Contract Processing: Reduce the time from contract acquisition to full activation.
  • Enhance Accuracy: Leverage direct API integrations with leading insurance providers/platforms for reliable data.
  • Minimize Risk: Ensure all new contracts meet required insurance coverage standards before proceeding.
  • Scalability: Design a solution capable of handling a growing volume of new contracts efficiently.
  • Actionable Insights: Provide clear, immediate feedback on verification status.

2. Detailed Workflow Steps (6 Steps)

The following steps detail the execution strategy for the "Insurance Verification Workflow".

Step 1: Contract Data Ingestion & Initial Processing

  • Description: This initial phase focuses on securely receiving new contract data and preparing it for subsequent verification.
  • Actions:

* Data Source Integration: Establish connections to the primary systems where new contracts are generated or finalized (e.g., CRM, Contract Management System, internal database, email parsing for attachments).

* Automated Trigger: Configure a trigger mechanism (e.g., API webhook, scheduled data pull, file upload detection) to initiate the workflow upon creation or update of a new contract record.

* Data Extraction: Identify and extract all relevant contract information necessary for insurance verification (e.g., client name, policy number, coverage type, effective dates, required coverage limits, business type, location).

* Initial Validation: Perform basic data integrity checks (e.g., presence of mandatory fields, correct data types) to ensure the data is suitable for processing.

* Unique Identifier Assignment: Assign a unique workflow ID to each contract for tracking and auditing purposes.

  • Expected Output: A structured dataset containing all pertinent contract information, ready for pre-processing.

Step 2: Data Pre-processing & Standardization

  • Description: Transform and standardize the extracted contract data into a format consumable by various insurance API providers.
  • Actions:

* Data Mapping: Map extracted contract fields to the specific data schema required by Next Insurance, Hippo, Indio, or Vertafore APIs. This will involve creating a standardized internal data model.

* Normalization: Standardize data formats (e.g., date formats, address formats, company names, industry codes) to ensure consistency across different API requirements.

* Enrichment (Optional): If necessary, enrich the data with additional information from internal databases (e.g., client history, risk profile) that may aid in selecting the appropriate insurance API or refining the query.

* Security & Anonymization: Implement data masking or encryption for sensitive client information (e.g., PII, policy numbers) if required for intermediate storage or specific API interactions.

  • Expected Output: A clean, standardized, and API-ready data payload for each new contract.

Step 3: Dynamic API Selection & Integration

  • Description: Intelligently select the most appropriate insurance verification API (Next Insurance, Hippo, Indio, or Vertafore) based on contract specifics and dynamically integrate with it.
  • Actions:

* API Configuration Management: Store and manage API credentials, endpoints, and specific request/response schemas for each integrated provider.

* Selection Logic Development: Develop a decision tree or rule-based engine to determine which API to use. Criteria may include:

* Contract Type: (e.g., commercial vs. personal, specific industry needs).

* Client Profile: (e.g., small business vs. large enterprise).

* Coverage Type: (e.g., general liability, professional liability, property).

* Geographic Location: Some providers might specialize in certain regions.

* Fallback Mechanism: Define a priority order or a fallback API in case the primary choice fails or doesn't support the specific verification request.

* API Client Development: Implement robust API clients for each chosen provider, handling authentication, request construction, and response parsing.

* Connection Testing: Regularly test API connectivity and credential validity.

  • Expected Output: A successfully established connection to the chosen insurance API for the specific contract, with a prepared API request payload.

Step 4: Insurance Coverage Verification Execution

  • Description: Execute the actual API call to the selected insurance provider and retrieve the verification results.
  • Actions:

* API Request Generation: Construct the specific API request using the pre-processed data and the chosen API's schema.

* Secure API Call: Execute the API call securely, ensuring all data is transmitted over encrypted channels (HTTPS/TLS).

* Error Handling: Implement robust error handling for API timeouts, rate limits, invalid requests, authentication failures, and other API-specific error codes. Log all errors for review and potential retry.

* Response Retrieval: Capture the full API response, including status codes and detailed verification data.

* Rate Limit Management: Implement strategies to manage API rate limits (e.g., exponential backoff, token buckets) to prevent service interruptions.

  • Expected Output: Raw API response containing the insurance coverage status and details (or an error message if verification failed).

Step 5: Results Analysis & Reporting

  • Description: Parse the API response, analyze the verification results against predefined requirements, and generate a clear, structured report.
  • Actions:

* Response Parsing: Extract relevant coverage information from the raw API response (e.g., policy status, effective dates, expiration dates, coverage limits, exclusions, insured parties).

* Requirements Comparison: Compare the verified coverage details against the minimum insurance requirements specified in the new contract.

* Status Determination: Determine the overall verification status:

* "Verified - Meets Requirements": Coverage confirmed and sufficient.

* "Verified - Insufficient Coverage": Coverage confirmed but does not meet all requirements.

* "Verification Failed - Policy Not Found": No matching policy found.

* "Verification Failed - API Error": Technical issue during API call.

* "Verification Pending - Manual Review Required": For complex cases or partial matches.

* Audit Trail Generation: Create a comprehensive log of the verification process, including input data, API requests/responses, and final status.

* Report Generation: Assemble a human-readable summary report detailing the verification outcome.

  • Expected Output: A structured verification report for each contract, including the final status, detailed coverage information, and any discrepancies.

Step 6: Actionable Insight & Workflow Trigger

  • Description: Based on the verification report, trigger subsequent actions or notifications within the broader contract management workflow.
  • Actions:

* Conditional Logic: Implement logic to trigger different actions based on the verification status:

* "Verified - Meets Requirements": Automatically update the contract status to "Insurance Verified," proceed to the next stage (e.g., final approval, invoicing, service activation).

* "Verified - Insufficient Coverage" / "Verification Failed": Flag the contract for immediate manual review by the compliance or legal team.

* "Verification Pending - Manual Review Required": Route to a specialized team for deeper investigation.

* Notification System: Send automated notifications (e.g., email, Slack message, internal system alert) to relevant stakeholders about the verification outcome.

* System Update: Update the status of the contract in the primary contract management system, CRM, or ERP with the verification results.

* Archiving: Archive the detailed verification report and audit trail for compliance and future reference.

* Dashboard Integration: Populate a dashboard with real-time verification statistics and pending items.

  • Expected Output: Automated updates in core systems, targeted notifications, and the contract seamlessly moving to its next appropriate workflow stage.

3. Required Inputs & Data Points

To successfully execute this workflow, the following data points are typically required for each new contract:

  • Client Information:

* Client/Company Name

* Client Address (Street, City, State, Zip)

* Contact Person Name (Optional)

* Contact Email/Phone (Optional)

  • Contract Information:

* Contract ID / Reference Number

* Contract Effective Date

* Contract Expiration Date (if applicable)

* Type of Contract/Service

  • Insurance Requirements:

* Required Coverage Type(s) (e.g., General Liability, Professional Liability, Property, Auto)

* Minimum Coverage Limits (e.g., $1M per occurrence, $2M aggregate)

* Required Deductibles (Max)

* Additional Insured Requirements (e.g., "Our Company" as Additional Insured)

* Waiver of Subrogation Requirements

* Policy Holder Name (as it should appear)

  • Existing Policy Information (if provided by client):

* Current Policy Number (Optional, but highly recommended for direct lookups)

* Current Insurance Carrier Name (Optional)

* Current Policy Effective Date (Optional)

* Current Policy Expiration Date (Optional)


4. Expected Outputs & Deliverables

Upon completion of the workflow for each contract, the following will be delivered:

  • Automated Status Update: The contract record in the integrated system (CRM/CMS) will be updated with:

* Insurance Verification Status (e.g., "Verified - Meets Requirements", "Insufficient Coverage", "Verification Failed", "Manual Review Required")

* Date and Time of Verification

* Link to detailed verification report

  • Detailed Verification Report (PDF/JSON): A comprehensive report for each contract, including:

* Contract ID and Client Details

* Required Insurance Coverage Summary

* Verified Insurance Coverage Details (Carrier, Policy #, Types, Limits, Dates)

* Comparison Summary (Met/Not Met for each requirement)

* Overall Verification Status

* Discrepancies identified

* API call details (timestamp, API used, response status)

  • Audit Log: A secure, immutable record of the entire verification process for compliance purposes.
  • Notifications: Targeted email/system notifications to relevant personnel based on verification outcome.
  • Dashboard Metrics: Updated real-time metrics on verification success rates, pending reviews, and processing times.

5. API Integration Strategy

  • Prioritization: The selection of Next Insurance, Hippo, Indio, or Vertafore APIs will be driven by the specific needs of the contract, the type of insurance, and the geographic location. A tiered approach will be developed.
  • Robustness: Each API integration will be designed with fault tolerance, retry mechanisms, and comprehensive error handling.
  • Scalability: API calls will be managed to respect rate limits and ensure efficient processing of high volumes of contracts.
  • Security: All API keys and credentials will be stored securely using industry-standard practices (e.g., secrets management services). All communications will be encrypted.

6. Error Handling & Edge Cases

  • API Failures: Implement exponential backoff and retry logic for transient API errors. For persistent errors, a fallback API or a manual review flag will be triggered.
  • Data Incompleteness/Invalidity: Contracts with missing or invalid critical data will be flagged for manual review at Step 1 or 2, preventing upstream failures.
  • No Policy Found: If an API returns no matching policy, the contract will be flagged for manual review, allowing human intervention to investigate potential data entry errors or non-existent coverage.
  • Partial Matches: If coverage is found but doesn't meet all requirements, the system will clearly indicate which requirements are unmet and route for review.
  • Rate Limiting: Implement token bucket or leaky bucket algorithms to manage API call rates effectively.
  • New API Versions: Monitor for API version changes from providers and plan for proactive updates to integrations.

7. Security & Compliance

  • Data Encryption: All sensitive data (PII, policy details, API keys) will be encrypted both in transit (TLS 1.2+) and at rest.
  • Access Control: Strict role-based access control (RBAC) will be implemented for all systems involved in the workflow.
  • Audit Trails: Comprehensive audit logs will be maintained for all actions, data access, and verification outcomes to ensure traceability and compliance.
  • Data Retention: Data retention policies will be defined and enforced in accordance with legal and regulatory requirements.
  • Regulatory Compliance: Ensure adherence to relevant industry regulations (e.g., GDPR, CCPA, HIPAA if applicable) regarding data handling and privacy.

8. Next Steps

Upon your review and approval of this detailed plan, we will proceed with:

  1. Kick-off Meeting: To confirm scope, timelines, and resource allocation.
  2. Data Source Integration: Begin connecting to your primary contract systems.
  3. API Credentialing: Work with you to obtain necessary API keys and access for Next Insurance, Hippo, Indio, or Vertafore.
  4. Development & Testing: Commence the development of the workflow steps and rigorous testing.
  5. User Acceptance Testing (UAT): Involve your team in testing the end-to-end workflow.
Step Output

This document details the execution of Step 2: "AI → generate" within the "Insurance Verification Workflow". This critical step leverages advanced Artificial Intelligence to automate the verification of insurance coverage for new contracts, ensuring efficiency, accuracy, and compliance.


Step 2: AI-Powered Insurance Verification Generation

Workflow Description: Automatically verify insurance coverage for new contracts using Next Insurance, Hippo, Indio, or Vertafore APIs.

Step Objective: To automatically generate comprehensive insurance verification reports by intelligently extracting relevant data from new contracts and interacting with leading insurance provider APIs (Next Insurance, Hippo, Indio, Vertafore). This step aims to provide a rapid, accurate, and structured summary of insurance coverage status.


AI-Driven Process Details

Our AI engine executes a sophisticated multi-stage process to achieve automated insurance verification:

  1. Input Data Analysis & Extraction:

* Document Ingestion: The AI system ingests new contract documents, which can be in various formats (e.g., PDF, scanned images, digital forms).

* Optical Character Recognition (OCR): For scanned or image-based documents, OCR technology is applied to convert the content into machine-readable text.

* Natural Language Processing (NLP) & Named Entity Recognition (NER): Advanced NLP models analyze the extracted text to identify and extract key insurance-related data points from the contract, including:

* Policyholder Name and Contact Information

* Insured Entity Details

* Contract Effective and Expiration Dates

* Required Coverage Types (e.g., General Liability, Professional Indemnity, Workers' Compensation)

* Minimum Required Coverage Limits (e.g., per occurrence, aggregate)

* Specific Policy Numbers (if provided in the contract)

* Any special endorsements or clauses pertinent to insurance requirements.

  1. Intelligent Provider Routing:

* Based on the extracted information (e.g., specific insurer mentioned, industry type, geographic location, or existing policy details), the AI intelligently determines the most appropriate insurance provider API to query.

* The system prioritizes and routes requests to one of the integrated platforms: Next Insurance, Hippo, Indio, or Vertafore.

* In cases where no specific provider is indicated, the AI can be configured to query multiple providers concurrently or in a pre-defined priority sequence to locate matching policy information.

  1. API Request Formulation:

* The AI dynamically constructs precise API requests using the extracted data, adhering to the specific data models, authentication protocols, and query parameters required by each chosen provider's API.

* This ensures that all mandatory fields are populated correctly and data formats are optimized for successful communication with the insurance provider's system.

  1. Response Processing & Validation:

* Upon receiving responses from the insurance provider APIs (typically in JSON or XML format), the AI parses the data to extract critical verification details.

* The system then performs a rigorous validation process, comparing the returned insurance data against the contract's requirements:

* Active Status Confirmation: Verifies if the policy is currently active and in force.

* Coverage Matching: Confirms that all required coverage types are present.

* Limit Compliance: Checks if coverage limits meet or exceed the contract's specified minimums.

* Policyholder Verification: Ensures the policyholder and insured entity details match those in the contract.

* Exclusion/Endorsement Review: Flags any significant exclusions or endorsements that might impact compliance.

* Any discrepancies, missing coverage, or expired policies are automatically identified and flagged.

  1. Output Generation:

* The AI synthesizes all processed data and validation results into a structured, comprehensive, and human-readable report.

* This report highlights key findings, the overall compliance status, and any identified issues or areas requiring further attention.


Key Deliverables & Outputs

This AI-powered step generates critical outputs directly relevant to the insurance verification process:

  • 1. Insurance Verification Report (IVR):

* A detailed, structured document summarizing the entire verification outcome.

* Verification Status: Clearly indicates "Verified," "Partially Verified," "Not Verified," or "Discrepancy Found."

* Policy Details: Comprehensive information including policy number, effective and expiration dates, policyholder, and the issuing insurer.

* Coverage Summary: Itemized list of coverage types, corresponding limits, and deductibles obtained from the API.

* Compliance Check: A side-by-side comparison of contract-required coverage vs. verified coverage, highlighting compliance status for each item.

* Discrepancy Log: A clear log of any mismatches, missing information, or non-compliant aspects flagged for immediate review.

* API Interaction Log: A timestamped record of the API calls made and the raw responses received, providing an audit trail.

  • 2. Automated Notifications:

* Triggers real-time alerts or notifications to designated internal teams or stakeholders in cases of verification failures, critical discrepancies, or expired policies.

  • 3. Structured Data Output:

* The verified and processed insurance data is also generated in a machine-readable format (e.g., JSON, XML) suitable for seamless integration into existing CRM, ERP, contract management, or other internal systems.


Benefits of AI-Powered Generation

  • Enhanced Accuracy & Reliability: Eliminates manual data entry errors and ensures precise verification against contract requirements.
  • Unprecedented Speed & Efficiency: Reduces the insurance verification timeline from hours or days to mere minutes, accelerating contract finalization.
  • Significant Cost Reduction: Lowers operational costs associated with manual processing and reduces the need for extensive human intervention.
  • Guaranteed Compliance: Proactively identifies and flags non-compliant insurance policies, mitigating risks and ensuring adherence to contractual obligations.
  • Superior Scalability: Effortlessly handles a high volume of new contracts without increasing manual overhead, allowing your business to scale efficiently.

Next Steps

Upon the successful generation of the Insurance Verification Report and associated outputs, the workflow will automatically proceed to Step 3: Human Review & Approval. This next step will involve a designated team member reviewing any flagged discrepancies or non-compliant items identified by the AI, and providing final approval for the verified contracts or initiating follow-up actions for unverified ones.

Step Output

Step 3: AI-Powered Insurance Verification - Generation Phase

This document outlines the detailed professional output for Step 3 of the "Insurance Verification Workflow," focusing on the AI's generation capabilities for automatically verifying insurance coverage. This step leverages advanced AI models to intelligently interact with specified insurance provider APIs, ensuring efficient and accurate verification for new contracts.


Objective

The primary objective of this AI generation step is to automatically retrieve, process, and validate insurance coverage details for new contracts by integrating with Next Insurance, Hippo, Indio, or Vertafore APIs. The AI will generate a comprehensive verification report, confirming coverage status and extracting key policy information, thereby significantly reducing manual effort and turnaround time.

AI Role and Core Capabilities

The AI component acts as an intelligent orchestrator and data processor, designed to perform the following core functions:

  • Intelligent Data Parsing: Extract relevant contract and client information from various input formats.
  • Dynamic API Selection: Determine the most appropriate insurance provider API (Next Insurance, Hippo, Indio, Vertafore) based on the contract details or pre-configured rules.
  • Automated API Interaction: Securely authenticate and execute API calls to retrieve real-time insurance policy data.
  • Data Extraction and Normalization: Parse complex API responses, extract critical policy details, and normalize them into a standardized format.
  • Coverage Validation Logic: Apply predefined business rules to verify active coverage, policy limits, deductibles, and other essential parameters against contract requirements.
  • Report Generation: Compile all verified information and status into a clear, structured, and actionable output.
  • Error Handling & Escalation: Identify and flag discrepancies, missing information, or API errors for human review.

Input Data for AI Verification

For the AI to initiate the verification process, it requires structured or semi-structured data related to the new contract and the associated client. Typical input data includes:

  • Contract ID / Reference Number: Unique identifier for the new contract.
  • Client/Insured Information:

* Legal Name of Insured Entity/Individual

* Business Address

* Contact Information (Email, Phone)

* Tax ID / EIN

  • Policy Information (if available):

* Existing Policy Number (if renewal or known)

* Insurance Carrier Name (e.g., "Next Insurance", "Hippo")

* Type of Coverage Required (e.g., General Liability, Professional Liability, Property, Auto)

* Minimum Coverage Limits required by the contract

* Effective Date of Coverage required

  • Document Attachments (Optional):

* Copy of the new contract (for AI to extract details if not provided explicitly).

* Existing Certificate of Insurance (COI) for cross-verification.

Detailed AI Verification Process

The AI-powered verification process is executed through the following sequence of steps:

  1. Data Ingestion & Parsing:

* The AI receives input data, either directly from an upstream system or by parsing attached documents (e.g., PDF contracts) using OCR and NLP capabilities.

* Key entities like client name, address, contract requirements, and potential existing policy details are extracted and structured.

  1. Intelligent API Routing:

* Based on the extracted Insurance Carrier Name (if provided) or predefined business logic (e.g., "for small businesses, prefer Next Insurance; for property, prefer Hippo"), the AI dynamically selects the appropriate API endpoint (Next Insurance, Hippo, Indio, or Vertafore).

* In cases where the carrier is unknown, the AI can attempt verification across multiple APIs or flag for manual carrier identification.

  1. API Interaction & Authentication:

* Using secure API keys and authentication protocols (e.g., OAuth 2.0, API key headers), the AI establishes a secure connection with the chosen insurance provider's API.

* A verification request is constructed, mapping the parsed input data to the specific API's required parameters (e.g., client_id, policy_number, coverage_type).

  1. Response Processing & Data Extraction:

* The AI receives the API response, typically in JSON or XML format.

* It then parses this response, extracting critical policy information such as:

* Policy Status (Active, Inactive, Pending)

* Policy Number

* Insured Name

* Policy Effective and Expiration Dates

* Coverage Types (e.g., General Liability, Property)

* Per-Occurrence Limit

* Aggregate Limit

* Deductibles

* Additional Insureds (if applicable)

* Policy Terms and Conditions Summary

  1. Coverage Verification & Validation Logic:

* The extracted policy details are cross-referenced against the minimum coverage requirements specified in the input contract.

* The AI applies predefined rules to validate:

* Active Status: Is the policy currently active and valid for the contract's duration?

* Coverage Type Match: Does the policy cover the required types of insurance?

* Limit Compliance: Do the policy limits meet or exceed the minimum contract requirements?

* Effective Dates: Does the policy cover the required period?

* Named Insured Match: Is the client correctly named as the insured party?

  1. Output Generation:

* Based on the validation results, the AI compiles a comprehensive verification report.

API Integration Strategy

The AI is configured to integrate with the following insurance provider APIs:

  • Next Insurance API: Ideal for small business insurance, offering streamlined access to general liability, professional liability, and other commercial policies. The AI will leverage Next Insurance's API for real-time policy lookups and status checks.
  • Hippo API: Primarily focused on home insurance, Hippo's API will be utilized for verifying property-related coverages, including homeowners, renters, and potentially landlord policies.
  • Indio API (Applied Systems): As a digital insurance application platform, Indio's API can be used to retrieve application status, policy details, or initiate new application processes, particularly for commercial lines managed through brokers utilizing Indio.
  • Vertafore APIs (e.g., AMS360, Sagitta, ImageRight): Vertafore offers a suite of agency management systems. The AI will integrate with relevant Vertafore APIs to access client policy data managed by agencies using their platforms, providing a broad reach for various insurance types.

Each API integration is built with robust error handling, rate limiting, and secure credential management to ensure reliable and compliant operation.

Output of AI-Generated Verification

The AI will generate a structured output, typically in JSON, XML, or a human-readable PDF/HTML report, containing the following details:

  • Verification Status: VERIFIED, PARTIALLY_VERIFIED, NOT_VERIFIED, ERROR.
  • Contract ID: Unique identifier.
  • Client/Insured Name: Name of the entity whose insurance was verified.
  • Insurance Carrier: Name of the carrier (e.g., Next Insurance, Hippo).
  • Policy Number: The verified policy number.
  • Policy Status: (e.g., Active, Inactive).
  • Effective Date: Policy start date.
  • Expiration Date: Policy end date.
  • Coverage Details:

* List of verified coverage types (e.g., General Liability, Property).

* Per-Occurrence Limit (for each applicable coverage).

* Aggregate Limit (for each applicable coverage).

* Deductible Amount.

  • Compliance Summary:

* Meets All Requirements: Boolean (True/False).

* List of specific requirements met.

List of specific requirements not* met (if any, with reasons).

  • Discrepancies/Notes: Any deviations, warnings, or additional information.
  • API Interaction Log: Timestamp of verification, API used, and status of the API call.
  • Confidence Score (Optional): An AI-generated score indicating the certainty of the verification.

Error Handling and Exception Management

Robust error handling is critical for an automated system. The AI will implement the following:

  • API Call Failures: Retry mechanisms for transient network issues; immediate flagging for persistent API errors (e.g., invalid credentials, service unavailable).
  • Missing Data: If critical input data is missing for verification, the AI will flag the contract and request additional information.
  • No Match Found: If no policy can be found matching the provided details across all relevant APIs, the AI will report NOT_VERIFIED with a reason.
  • Coverage Discrepancies: If policy details do not meet contract requirements, the AI will generate a PARTIALLY_VERIFIED status, clearly outlining the unmet requirements.
  • Human Escalation: Any NOT_VERIFIED or PARTIALLY_VERIFIED status, or unresolvable API errors, will trigger an automated notification to a designated human reviewer for further investigation.

Security and Compliance Considerations

  • Data Encryption: All data in transit and at rest will be encrypted using industry-standard protocols (e.g., TLS 1.2+, AES-256).
  • Access Control: Strict role-based access control (RBAC) will be enforced for the AI system and its underlying infrastructure.
  • API Key Management: API keys and credentials will be securely stored in a dedicated secrets management system and rotated regularly.
  • Audit Trails: Comprehensive logs of all AI activities, API calls, and data access will be maintained for audit and compliance purposes.
  • Privacy: Adherence to data privacy regulations (e.g., GDPR, CCPA) will be ensured, particularly regarding the handling of Personally Identifiable Information (PII).

Next Steps in the Workflow

Upon successful generation of the insurance verification output, the workflow will proceed to Step 4, which typically involves Review and Approval by a human agent or an automated update to the contract management system. This ensures that the AI's output is either directly actioned or validated before finalization.


Benefits of AI-Generated Output

  • Speed & Efficiency: Dramatically reduces the time required for insurance verification from hours/days
Step Output

This document details the comprehensive output generated by the AI for the "Insurance Verification Workflow," focusing on the automated verification of insurance coverage for new contracts. This output serves as a crucial deliverable, providing clear, actionable insights into the insurance status of each new agreement.


Insurance Verification Workflow: Comprehensive Output Generation

Introduction

The "Insurance Verification Workflow" is designed to provide automated, accurate, and timely verification of insurance coverage for all new contracts. By leveraging advanced AI and integrating with leading insurance APIs, this workflow streamlines the contract onboarding process, significantly reduces manual effort, and mitigates risks associated with insufficient or expired coverage.

Step 5, "AI → generate," is where our intelligent system compiles, analyzes, and presents the verification results in a suite of professional, actionable reports. This ensures that all stakeholders receive clear, concise, and audit-ready information.

Workflow Overview

This workflow automatically verifies the insurance coverage for new contracts by integrating with industry-leading platforms such as Next Insurance, Hippo, Indio, and Vertafore. The process is designed to:

  • Extract relevant insurance details from contract inputs.
  • Query specific carrier APIs to obtain real-time policy data.
  • Validate the retrieved coverage against predefined contract requirements.
  • Generate detailed reports identifying compliance, discrepancies, and recommended actions.

Step 5: AI-Powered Output Generation Details

In this pivotal step, the AI system takes the raw data gathered from various insurance APIs and internal validation checks, transforming it into structured, understandable, and actionable output. This process involves:

  1. Data Aggregation and Normalization:

* Consolidating information retrieved from different APIs (Next Insurance, Hippo, Indio, Vertafore) and internal databases.

* Normalizing data formats to ensure consistency, regardless of the source carrier or API.

  1. Intelligent Analysis and Validation:

* Applying predefined business rules and compliance requirements to assess the adequacy of verified coverage.

* Comparing policy limits, effective dates, endorsements, and exclusions against contract stipulations.

* Identifying any gaps, discrepancies, or non-compliance issues.

  1. Report Structuring and Generation:

* Automatically structuring the analyzed data into various report formats tailored for different stakeholders (e.g., executive summaries for management, detailed reports for compliance teams).

* Ensuring clarity, accuracy, and completeness in all generated deliverables.

Detailed Verification Process

The AI-powered verification process encompasses the following key stages:

  • Input Data Processing: New contract details (e.g., client name, required coverage types, minimum limits, policy numbers) are ingested and prepared for verification.
  • Dynamic API Selection: The AI intelligently selects the most appropriate API(s) (Next Insurance, Hippo, Indio, Vertafore) based on available policy information, carrier relationships, and system configuration to retrieve the most accurate and real-time data.
  • Real-time Data Retrieval: Secure API calls are executed to fetch current policy status, coverage details, effective dates, and any specific endorsements or exclusions.
  • Automated Compliance Checks: The retrieved data is automatically cross-referenced against the specific insurance requirements outlined in the new contract. This includes:

* Verification of policy in-force status.

* Confirmation of minimum coverage limits (e.g., General Liability, Professional Liability).

* Validation of specific endorsements (e.g., Additional Insured status).

* Checking policy effective and expiration dates.

  • Discrepancy Identification: Any deviation from the required coverage or missing information is automatically flagged and categorized by severity.

Generated Output Structure and Deliverables

Upon completion of the verification process, the AI generates a suite of detailed, professional reports. These outputs are designed to be immediately actionable and provide comprehensive insights:

1. Executive Summary Report (Per Contract)

  • Verification Status:

* CLEAR: All insurance requirements met.

* PENDING REVIEW: Minor issues identified, requires internal review.

* ACTION REQUIRED: Significant discrepancies found, client intervention needed.

  • Contract ID: Unique identifier for the new contract.
  • Client Name: The entity associated with the contract.
  • Policy Holder Name: The insured party.
  • Insurance Carrier: The provider of the verified policy.
  • Policy Number: The unique identifier for the insurance policy.
  • Key Coverage Limits: A summary of critical coverage types and their verified limits (e.g., General Liability: \$1M/\$2M).
  • Policy Effective Dates: Start and end dates of the verified policy.
  • Overall Compliance Score: A percentage or rating indicating adherence to contract requirements.
  • AI Recommendation: A concise, actionable recommendation (e.g., "Proceed with contract," "Contact client for updated policy," "Escalate to Legal").

2. Detailed Insurance Verification Report (Per Contract)

  • Comprehensive Policy Data: All verified policy details, including full coverage breakdown, deductibles, and sub-limits.
  • Requirement Matching Matrix: A side-by-side comparison of each contract-required insurance element against the verified policy details, explicitly stating "Met" or "Not Met."
  • Endorsements and Exclusions: Specific details on verified endorsements (e.g., Additional Insured, Waiver of Subrogation) and any relevant exclusions.
  • API Transaction Log: A detailed record of all API calls made during verification, including timestamps, API used, request parameters (sanitized), and key response data, ensuring full auditability.
  • Source Document References: Links or references to any policy documents or certificates of insurance used in the verification process.

3. Discrepancy & Action Required Report

  • Discrepancy ID: Unique identifier for each identified issue.
  • Type of Discrepancy: (e.g., "Insufficient Coverage Limit," "Expired Policy," "Missing Endorsement," "Policy Holder Mismatch," "Data Ambiguity").
  • Severity Level: (e.g., Critical, High, Medium, Low) to prioritize follow-up actions.
  • Contract Requirement: The specific requirement from the contract that was not met.
  • Verified Policy Detail: The corresponding detail found (or not found) in the verified policy.
  • Recommended Action: Clear, step-by-step instructions for resolution (e.g., "Request updated COI from client," "Internal legal review required," "Notify sales team").
  • Assigned Stakeholder: Identification of the team or individual responsible for addressing the discrepancy.

4. Audit Trail & Data Integrity Log

  • Timestamped Actions: A granular record of every step performed during the verification, from input reception to report generation.
  • System User/Process ID: Identifies the automated process or user initiating actions.
  • Data Changes Log: Tracks any modifications or updates made to policy data during verification.
  • Error Logs: Records any technical errors encountered during API calls or data processing.
  • Ensures full compliance, transparency, and traceability for regulatory and internal auditing purposes.

Benefits of AI-Powered Output Generation

The AI-driven generation of these detailed outputs delivers significant value:

  • Enhanced Accuracy: Eliminates human error in data interpretation and report compilation.
  • Unprecedented Efficiency: Automates a time-consuming manual process, freeing up resources.
  • Standardized & Consistent Reporting: Ensures uniform, high-quality reports across all contracts.
  • Accelerated Decision-Making: Provides clear, actionable insights for quick resolution and contract progression.
  • Proactive Risk Mitigation: Identifies and flags potential coverage gaps or non-compliance issues before they become problems.
  • Full Transparency & Auditability: Detailed logs and reports support compliance and provide a clear historical record.

Next Steps (Step 6 of 6: Integration & Notification)

Upon generation, these comprehensive outputs will be seamlessly integrated into your existing systems:

  • System Integration: The verification status and relevant report data will be automatically pushed to designated CRM, ERP, or contract management systems.
  • Automated Notifications: Key stakeholders (e.g., sales, legal, operations) will receive automated notifications based on the verification outcome, ensuring timely awareness.
  • Task Assignment: For contracts requiring action, automated tasks will be created within your project management or workflow tools, streamlining follow-up and resolution processes.

This structured and intelligent output ensures that your organization remains fully informed and compliant, significantly enhancing the efficiency and security of your new contract onboarding.

Step Output

This document details the comprehensive output generated by the "Insurance Verification Workflow," specifically focusing on the automated verification capabilities and the resulting deliverables. This workflow is designed to streamline and enhance the accuracy of insurance coverage validation for new contracts.


Insurance Verification Workflow - Completed Output

We are pleased to present the detailed output for the "Insurance Verification Workflow." This workflow successfully automates the critical process of verifying insurance coverage for new contracts, leveraging advanced API integrations and intelligent processing. This final step (AI generation) synthesizes the system's capabilities and the structured output it provides, ensuring efficiency, accuracy, and compliance.


Workflow Summary & Objective

The primary objective of this workflow is to automatically verify insurance coverage for new contracts by integrating with leading insurance platforms and data providers. By automating this process, the workflow significantly reduces manual effort, accelerates contract processing times, minimizes human error, and ensures that all new contracts adhere to predefined insurance requirements.

Key Benefits:

  • Enhanced Efficiency: Faster contract onboarding and reduced administrative burden.
  • Improved Accuracy: Automated checks eliminate manual data entry errors.
  • Risk Mitigation: Proactive identification of insufficient or expired coverage.
  • Compliance Assurance: Ensures adherence to contractual and regulatory insurance requirements.
  • Scalability: Capable of handling a high volume of new contracts seamlessly.

Workflow Steps Executed

This workflow comprises 6 distinct steps, culminating in this detailed AI-generated output:

  1. Contract Submission/Trigger: A new contract is submitted, initiating the verification process.
  2. Data Extraction: Key information (e.g., customer name, contract type, required coverage) is automatically extracted from the contract.
  3. API Selection & Data Mapping: The system intelligently determines the most appropriate insurance API(s) to query (Next Insurance, Hippo, Indio, Vertafore) and maps the extracted data to their respective API parameters.
  4. API Call & Data Transmission: Secure API calls are made to the selected insurance providers, transmitting the necessary verification data.
  5. Response Processing & Verification Logic: API responses are received, parsed, normalized, and then evaluated against predefined business rules and contract requirements.
  6. AI Generation of Output: This step synthesizes all verification results into a comprehensive, actionable report, as detailed below.

Deliverable: Automated Insurance Verification System Output & Design

This section outlines the core functionality of the automated insurance verification system and the comprehensive, structured output it generates for each new contract.

1. Verification System Overview

The automated system is engineered to provide a robust and reliable mechanism for validating insurance coverage.

  • Purpose: To automatically validate insurance coverage for new contracts against predefined requirements using external insurance APIs.
  • Process Flow:

1. Contract Intake: New contract data (customer details, required coverage, contract type, effective dates) is ingested into the system.

2. Data Extraction & Mapping: Key data points (e.g., policyholder name, required coverage types, limits) are automatically extracted and accurately mapped to the relevant fields required by the various insurance APIs.

3. Intelligent API Selection & Call: Based on the contract type, industry, and available integrations, the system intelligently selects and queries the most appropriate insurance API (Next Insurance, Hippo, Indio, Vertafore). This ensures the most efficient and accurate data retrieval.

4. Response Processing & Normalization: API responses are received, parsed, and normalized into a standardized data format, regardless of the originating API.

5. Rule-Based Verification: The extracted and normalized policy data is rigorously cross-referenced against the contract's specific insurance requirements using a set of configurable business rules. This includes checking for policy existence, effective dates, coverage types, limits, and endorsements.

6. Output Generation: A detailed, human-readable verification report is automatically generated, summarizing the status, coverage details, and any identified discrepancies.

2. Supported Insurance APIs & Use Cases

The workflow integrates with a selection of industry-leading insurance platforms to provide broad coverage for verification needs:

  • Next Insurance:

* Use Case: Ideal for verifying small business insurance policies, including General Liability, Professional Liability, Workers' Compensation, and Commercial Auto. Provides quick, digital policy status and summary data.

* Integration: Leverages Next Insurance's API for real-time policy lookups.

  • Hippo:

* Use Case: Primarily used for verifying residential property insurance (homeowners, landlord policies). Essential for contracts involving real estate, property management, or where property insurance is a key requirement.

* Integration: Connects via Hippo's API to retrieve property-specific coverage details.

  • Indio (Applied Systems):

* Use Case: Specializes in commercial insurance application management. Can be leveraged to verify complex commercial policies, retrieve detailed policy schedules, or confirm application status for clients who utilize Indio for their insurance submissions.

* Integration: Interfaces with Indio's platform for comprehensive commercial policy data.

  • Vertafore (e.g., AMS360, Sagitta, ImageRight):

* Use Case: Comprehensive agency management systems that house a vast array of client policy data. Allows for deep verification of various commercial and personal lines policies managed by agencies using Vertafore products. This integration provides access to a wide spectrum of policy types and historical data.

* Integration: Requires secure, agency-level access and robust integration with Vertafore's platform APIs.

3. Key Data Points Verified

The system performs a thorough check on the following critical data points to ensure comprehensive coverage verification:

  • Policy Existence & Status: Confirms if a policy exists and its current status (Active, Lapsed, Cancelled).
  • Named Insured: Verifies that the contracting entity or individual is accurately listed as the named insured on the policy.
  • Policy Effective & Expiration Dates: Ensures that the policy's coverage period is current and overlaps appropriately with the contract's duration.
  • Coverage Types & Limits: Confirms that all required coverage types (e.g., General Liability, Auto Liability, Workers' Compensation, Professional Liability) are present and meet the specified monetary limits (e.g., per occurrence, aggregate limits).
  • Additional Insured / Waiver of Subrogation: Verifies the presence and correct wording of specific endorsements if mandated by the contract.
  • Deductibles / Self-Insured Retentions (SIRs): Highlights any significant deductibles or SIRs that could impact the risk profile.
  • Carrier Information: Identifies the issuing insurance carrier.

4. Generated Output & Reporting

For each insurance verification request, the system produces a structured, clear, and actionable report. This report is designed to provide immediate insight and guide subsequent actions.

  • A. Overall Verification Status: A quick, color-coded indicator of compliance:

* VERIFIED (Green): All contractually required insurance coverages and conditions have been met.

* PARTIALLY VERIFIED (Yellow): Some minor discrepancies or pending items were identified (e.g., a slightly lower limit, a missing endorsement that can be easily remedied).

* NOT VERIFIED (Red): Critical requirements were not met, or the system was unable to verify essential policy details (e.g., policy expired, missing a mandatory coverage type, significant limit shortfall).

* PENDING (Blue): Verification is in progress, requires manual review due to complexity, or awaits additional information.

  • B. Detailed Coverage Summary: A comprehensive breakdown of the verified policy information:

* Policy Holder: Name of the insured entity.

* Policy Number: Unique identifier for the insurance policy.

* Insurance Carrier: Name of the company providing coverage.

* Policy Type: E.g., General Liability, Commercial Auto, Homeowners.

* Effective Date: Start date of the policy coverage.

* Expiration Date: End date of the policy coverage.

* Coverage Details: A clear listing of all coverages with their respective limits (e.g., General Liability: $1,000,000 per occurrence / $2,000,000 aggregate; Auto Liability: $500,000 combined single limit).

  • C. Discrepancy Report: Specific details of any mismatches or issues found:

* Itemized Discrepancies: "General Liability limit verified at $500K, contract requires $1M."

* Missing Coverages: "Required Professional Liability coverage not found."

* Policy Status Alerts: "Policy expired on YYYY-MM-DD."

* Endorsement Issues: "Additional Insured endorsement missing/incorrect wording."

  • D. Actionable Recommendations: Clear guidance on next steps based on the verification status:

* "Request an updated Certificate of Insurance (COI) with revised limits."

* "Contact the customer for clarification on policy XYZ or to provide proof of required coverage."

* "Escalate to the legal/

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"); zip.file(folder+".gitignore","node_modules/ dist/ .env .DS_Store *.local .angular/ "); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join(" "):"# add dependencies here "; zip.file(folder+"main.py",src||"# "+title+" # Generated by PantheraHive BOS print(title+" loaded") "); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt ``` ## Run ```bash python main.py ``` "); zip.file(folder+".gitignore",".venv/ __pycache__/ *.pyc .env .DS_Store "); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^```[w]* ?/m,"").replace(/ ?```$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+" "; zip.file(folder+"package.json",pkgJson); var fallback="const express=require("express"); const app=express(); app.use(express.json()); app.get("/",(req,res)=>{ res.json({message:""+title+" API"}); }); const PORT=process.env.PORT||3000; app.listen(PORT,()=>console.log("Server on port "+PORT)); "; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000 "); zip.file(folder+".gitignore","node_modules/ .env .DS_Store "); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Setup ```bash npm install ``` ## Run ```bash npm run dev ``` "); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:" "+title+" "+code+" "; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */ *{margin:0;padding:0;box-sizing:border-box} body{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e} "); zip.file(folder+"script.js","/* "+title+" — scripts */ "); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+" Generated by PantheraHive BOS. ## Open Double-click `index.html` in your browser. 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Generated by PantheraHive BOS
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