Insurance Verification Workflow
Run ID: 69cacfa1eff1ba2b796250cd2026-03-30Compliance
PantheraHive BOS
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Insurance Verification Workflow: AI Generation Phase (Step 1 of 6)

Workflow Title

Automated Insurance Verification for New Contracts

Overall Workflow Objective

The primary goal of this workflow is to automatically verify insurance coverage for new contracts, ensuring compliance and reducing manual effort. By leveraging advanced AI and integrating with leading insurance provider APIs (Next Insurance, Hippo, Indio, Vertafore), we aim to streamline the verification process, enhance accuracy, and provide timely insights into coverage status.

Current Step: AI → Generate

This initial step, "AI → Generate," focuses on the intelligent extraction, structuring, and preparation of data from a new contract. The AI's role here is to transform unstructured or semi-structured contract documents into a precise, actionable data payload, ready for subsequent API calls to insurance providers.


Detailed Professional Output for "AI → Generate"

1. Input & Trigger Mechanism

The workflow is triggered upon the ingestion of a "new contract." This input can be in various formats:

Upon ingestion, the contract is immediately routed to our AI engine for processing.

2. AI-Powered Data Extraction and Normalization

This is the core of the "AI → Generate" step. Our AI engine employs advanced Natural Language Processing (NLP), Optical Character Recognition (OCR), and machine learning models to perform the following:

* Insured Party Details: Company name, contact information, policyholder ID.

* Contractual Insurance Requirements: Minimum coverage limits (e.g., General Liability, Professional Liability, Workers' Compensation), policy types required, additional insured clauses, waiver of subrogation requirements.

* Effective Dates: Contract start and end dates, or specific dates for required coverage.

* Subcontractor/Vendor Information: If applicable, details of the entity whose insurance is being verified.

* Jurisdiction/Location: Relevant geographical information for policy lookup.

* Any other specific clauses or endorsements impacting insurance requirements.

3. Intelligent API Route Determination

Based on the extracted data and predefined business rules, the AI will determine the most appropriate insurance provider API(s) to query:

* "If contract value > $1M, check Vertafore."

* "If property-related, check Hippo."

* "If small business/general liability, check Next Insurance."

* "If broker-specific, use Indio."

4. Generation of Verification Payload & Strategy

The ultimate output of this "AI → Generate" step is a comprehensive, structured data package containing everything needed for the subsequent verification steps.

This package includes:

* Target API: (e.g., Next Insurance API, Hippo API, Indio API, Vertafore API).

* Specific Endpoint: The exact API endpoint to be called.

* API Parameters: All necessary parameters formulated from the extracted contract data (e.g., policy number, insured name, effective dates, coverage types, limits).

* Authentication Details Placeholder: Instructions or placeholders for API keys/tokens.


Deliverable for this Step (AI → Generate)

The deliverable for this "AI → Generate" step is a "Verification Request Payload and Strategy Document" (typically in JSON or a similar machine-readable format). This document is the blueprint for the automated insurance verification process, containing all the necessary information for the next workflow steps.

Example Structure of the Generated Payload:

json • 2,399 chars
{
  "workflow_id": "UUID-12345-ABCDE",
  "contract_id": "CONTRACT-XYZ-001",
  "contract_summary": {
    "title": "Master Services Agreement",
    "effective_date": "2023-01-01",
    "parties": ["Client Co.", "Vendor Inc."],
    "document_link": "https://pantherahive.com/contracts/CONTRACT-XYZ-001.pdf"
  },
  "extracted_insurance_requirements": {
    "insured_party": {
      "name": "Vendor Inc.",
      "contact": "john.doe@vendorinc.com",
      "address": "123 Business St, Anytown, USA",
      "tax_id": "XX-XXXXXXX",
      "confidence": 0.98
    },
    "required_coverages": [
      {
        "type": "General Liability",
        "minimum_limit": "2,000,000",
        "per_occurrence_limit": "1,000,000",
        "aggregate_limit": "2,000,000",
        "confidence": 0.95
      },
      {
        "type": "Professional Liability",
        "minimum_limit": "1,000,000",
        "confidence": 0.92
      },
      {
        "type": "Workers' Compensation",
        "minimum_limit": "Statutory",
        "confidence": 0.97
      }
    ],
    "additional_requirements": {
      "additional_insured_clause": true,
      "waiver_of_subrogation": true,
      "policy_effective_date_range": {
        "start": "2023-01-01",
        "end": "2024-01-01"
      },
      "confidence": 0.94
    }
  },
  "verification_strategy": {
    "primary_api": "Next Insurance",
    "secondary_apis": ["Vertafore"],
    "api_queries": [
      {
        "provider": "Next Insurance",
        "endpoint": "/policies/verify",
        "parameters": {
          "company_name": "Vendor Inc.",
          "tax_id": "XX-XXXXXXX",
          "coverage_types": ["General Liability", "Professional Liability"],
          "effective_date": "2023-01-01"
        },
        "expected_data_points": ["policy_status", "coverage_limits", "additional_insured_status"]
      },
      {
        "provider": "Vertafore",
        "endpoint": "/agency/policy-lookup",
        "parameters": {
          "client_name": "Vendor Inc.",
          "policy_holder_id": "AUTO_GENERATED_BY_AI", 
          "coverage_types": ["Workers' Compensation"],
          "date_of_inquiry": "2023-10-27"
        },
        "expected_data_points": ["policy_status", "coverage_details"]
      }
    ]
  },
  "ai_processing_log": {
    "timestamp": "2023-10-27T10:30:00Z",
    "nlp_model_version": "v3.2",
    "ocr_engine_version": "v2.1",
    "warnings": []
  }
}
Sandboxed live preview

Next Steps in the Workflow

This generated payload will serve as the input for the subsequent steps in the "Insurance Verification Workflow":

  • Step 2: API Execution: The system will use the "api_queries" from the generated payload to make actual API calls to Next Insurance, Hippo, Indio, or Vertafore.
  • Step 3: Response Processing: The workflow will receive and parse the responses from the insurance provider APIs.
  • Step 4: Data Comparison & Verification: The extracted requirements from the contract will be compared against the verified data from the API responses.
  • Step 5: Reporting & Notification: A verification report will be generated, and relevant stakeholders will be notified of the verification status (e.g., compliant, non-compliant, pending).
  • Step 6: Archival & Audit: All verification details, reports, and audit trails will be securely archived.
Step Output

Step 2: AI-Generated Insurance Verification Plan

This document outlines the detailed plan for leveraging AI to automatically verify insurance coverage for new contracts. This step is crucial for streamlining the "Insurance Verification Workflow" by integrating with leading insurance API providers such as Next Insurance, Hippo, Indio, or Vertafore.


1. Workflow Step Overview

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

Overall Workflow Objective: To ensure all new contracts have the required and verified insurance coverage in place, minimizing risk and accelerating contract finalization.

2. AI Generation Objective

The primary objective of this AI-driven step is to generate a comprehensive, verified insurance coverage status report for each new contract. This involves:

  • Intelligently extracting relevant insurance requirements and policyholder details from the new contract document.
  • Selecting the most appropriate insurance API (Next Insurance, Hippo, Indio, Vertafore, or others as configured) based on available information or predefined preferences.
  • Interfacing with the selected API to query and retrieve current insurance policy details.
  • Comparing the retrieved policy details against the contract's insurance requirements.
  • Generating a clear, actionable report indicating verification status, any discrepancies, and next steps.

3. Input for AI Processing

The AI will receive the following primary inputs to initiate the insurance verification process:

  • New Contract Document (Digital Format): This will typically be a PDF, DOCX, or scanned image, containing:

* Client/Policyholder Name

* Contract Effective Dates

* Required Insurance Types (e.g., General Liability, Professional Liability, Workers' Compensation, Property)

* Minimum Coverage Limits per insurance type

* Named Insureds/Additional Insured Requirements

* Specific Endorsements or Policy Clauses

* Project/Location Details (if applicable)

* Any existing policy numbers or known insurance providers (if provided in the contract or associated metadata).

  • System Configuration Parameters:

* Prioritized list of insurance API providers (e.g., Vertafore first, then Indio, etc.).

* API credentials for each integrated provider (securely stored and accessed).

* Standard insurance requirement templates for different contract types (if available).

4. AI Processing Logic for Insurance Verification

The AI will execute a multi-stage process to achieve automated insurance verification:

4.1. Data Extraction & Normalization

  1. Document Parsing & OCR: If the contract is a scanned image, Optical Character Recognition (OCR) will be applied to convert it into machine-readable text. For digital documents (PDF, DOCX), direct text extraction will be performed.
  2. Key Information Extraction: Using Natural Language Processing (NLP) and Named Entity Recognition (NER) models, the AI will identify and extract critical data points:

* Policyholder/Client Name: Full legal name of the entity requiring coverage.

* Required Insurance Types: Categorization of insurance needs (e.g., "General Liability," "Workers' Comp").

* Minimum Coverage Limits: Numerical values for per-occurrence, aggregate, and other limits.

* Policy Effective/Expiration Dates: Dates for required coverage duration.

* Additional Insureds: Any parties required to be named on the policy.

* Location/Asset Details: Specific addresses or assets needing coverage.

* Known Insurer/Policy Number: If mentioned in the contract, this will be extracted to aid API selection.

  1. Data Normalization: Extracted data will be standardized into a structured format (e.g., JSON) for consistent API interaction and comparison. This includes standardizing insurance type names and currency formats.

4.2. API Selection Strategy

The AI will determine the most suitable API to query based on a predefined strategy:

  1. Direct Match: If the contract explicitly mentions a specific insurer (e.g., "Client is insured by Hippo"), the AI will attempt to use that provider's API first.
  2. Configured Priority List: If no specific insurer is identified, the AI will iterate through a pre-configured list of integrated API providers (e.g., Vertafore, then Indio, then Next Insurance, then Hippo) until a successful verification attempt is made or all options are exhausted.
  3. Smart Routing (Future Enhancement): Based on the type of insurance required (e.g., commercial property might favor Hippo, small business might favor Next Insurance), the AI could develop a more intelligent routing mechanism. For initial implementation, a priority list is sufficient.

4.3. API Interaction & Data Submission

  1. Authentication: The AI will securely authenticate with the chosen insurance provider's API using pre-configured credentials (API keys, OAuth tokens, etc.).
  2. Request Construction: A dynamic API request payload will be built using the extracted policyholder name, required insurance types, and any known policy numbers. The specific parameters will adhere to the chosen API's documentation.

* Example (Conceptual):


        {
          "policyholderName": "Acme Corporation",
          "policyType": "General Liability",
          "effectiveDate": "2023-01-01",
          "queryCoverage": true
        }
  1. API Call Execution: The AI will execute the API call to retrieve the policy details.
  2. Response Parsing: The AI will parse the API response, extracting relevant policy information such as:

* Policy Number

* Insurer Name

* Policy Effective/Expiration Dates

* Coverage Types and Limits

* Named Insureds / Additional Insureds listed

* Status (Active, Lapsed, Cancelled)

4.4. Coverage Verification & Discrepancy Identification

  1. Comparison Engine: The AI will compare the extracted contract requirements against the retrieved policy details from the API.
  2. Requirement Matching:

* Insurance Type Match: Does the policy cover all required types (e.g., General Liability, Workers' Comp)?

* Coverage Limit Match: Do the policy's limits meet or exceed the minimums specified in the contract?

* Date Match: Is the policy active for the entire contract duration?

* Named/Additional Insured Match: Are all required parties correctly named on the policy?

* Specific Endorsements: Are any required endorsements present?

  1. Discrepancy Flagging: Any mismatch or missing information will be flagged as a discrepancy.

* Example: "General Liability coverage limit of $1M required, but policy only shows $500K."

* Example: "Policy expires before contract end date."

* Example: "PantheraHive not listed as an Additional Insured."

4.5. Error Handling & Retry Mechanisms

  1. API Failure: If an API call fails (e.g., timeout, invalid credentials, service unavailable), the AI will:

* Log the error details.

* Attempt to retry the call (up to a configured number of times).

* If retries fail, switch to the next prioritized API provider (if available).

* If all API attempts fail, flag the verification as "Unable to Verify via API" and escalate.

  1. Data Not Found: If the API returns no policy data for the given policyholder, the AI will:

* Log the "No Policy Found" status.

* Attempt to query other prioritized APIs.

* If no policy is found across all APIs, flag the verification as "No Coverage Found" and escalate.

  1. Incomplete Data: If the API returns partial data, the AI will proceed with verification on available data and flag missing components as discrepancies.

5. Expected Output from AI Generation

The AI will generate a structured, detailed Insurance Verification Report for each new contract, which will be presented directly to the user. This report will include:

  • Verification Status:

* "Verified - Compliant": All contract requirements are met.

* "Verified - Non-Compliant": Policy found, but discrepancies exist.

* "Not Verified - No Coverage Found": No active policy found across all queried APIs.

* "Not Verified - API Error / Unable to Query": Technical issue prevented API interaction.

  • Contract Requirements Summary:

* List of all insurance types and minimum limits extracted from the contract.

* Required effective dates, additional insureds, etc.

  • Retrieved Policy Details:

* Insurer Name (e.g., Hippo, Next Insurance)

* Policy Number

* Policy Status (Active, Lapsed)

* Policy Effective & Expiration Dates

* Detailed breakdown of all coverages and their limits found (e.g., General Liability: $1M/$2M, Workers' Comp: Statutory).

* List of Named/Additional Insureds on the policy.

  • Discrepancy Report (if Non-Compliant):

* Clear, bulleted list of each requirement that is not met by the retrieved policy, with specific details.

* Example: "General Liability: Required $1,000,000 per occurrence, Policy provides $500,000."

* Example: "Policy Expiration: Required beyond 2024-12-31, Policy expires 2024-06-30."

* Example: "Additional Insured: 'PantheraHive' required, not found on policy."

  • Source API: The specific API used for successful verification (e.g., Vertafore, Indio).
  • Timestamp: Date and time of verification.
  • Raw API Response (Optional): For auditing and debugging purposes, the raw JSON response from the successful API call can be optionally included or stored.

6. Key Considerations & Assumptions

  • API Access & Credentials: Secure and reliable access to API keys/tokens for Next Insurance, Hippo, Indio, Vertafore, and any other integrated providers is paramount.
  • API Rate Limits: The solution must respect API rate limits to avoid service interruptions.
  • Data Privacy & Security: Handling of sensitive policyholder data must comply with all relevant regulations (e.g., GDPR, CCPA). Data will be encrypted in transit and at rest.
  • Contract Clarity: The accuracy of AI extraction relies on reasonably clear and structured contract language regarding insurance requirements. Ambiguous wording may lead to extraction errors.
  • Dynamic Requirements: The AI should be adaptable to new or evolving insurance requirements in contracts over time.
  • API Consistency: While efforts will be made to normalize, slight variations in data returned by different insurance APIs are expected and will be handled during parsing.
  • Human Oversight: For "Non-Compliant" or "Not Verified" statuses, human review and intervention will always be the final step.

7. Actionable Next Steps

Based on the AI-generated Insurance Verification Report, the workflow will proceed to the next step:

  • If "Verified - Compliant": The contract is cleared for insurance, and the workflow can proceed to final approval or execution.
  • If "Verified - Non-Compliant" or "Not Verified": The report will be immediately flagged for human review by a designated insurance specialist or contract manager. This specialist will then:

* Review the discrepancies.

* Contact the client for updated policy information or to request necessary changes.

* Manually upload new Certificates of Insurance (COIs) if provided.

* Trigger re-verification once new documents or information are available.

  • Integration with CRM/DMS: The verification status and report will be automatically updated in the relevant Customer Relationship Management (CRM) or Document Management System (DMS) associated with the contract.

This detailed plan ensures a robust, automated, and auditable process for insurance verification, significantly reducing manual effort and potential errors.

Step Output

This document details the comprehensive output generated by the AI for Step 3 of 6 in the "Insurance Verification Workflow". This step focuses on the AI's internal logic and process to automatically verify insurance coverage, culminating in a detailed verification report.


Step 3 of 6: AI Generation - Insurance Verification Process

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

Objective of this AI Generation Step:

The primary objective of this AI generation step is to define and execute the automated process for verifying insurance coverage for new contracts. The AI will extract relevant information, select the appropriate insurance provider API, formulate and execute the verification request, process the response, and generate a comprehensive verification report.


1. Input Requirements for AI Processing

To initiate the insurance verification process, the AI requires structured input containing details about the new contract and the associated client/policyholder.

1.1 New Contract Data

  • Contract ID: Unique identifier for the new contract.
  • Contract Type: (e.g., Service Agreement, Lease Agreement, Project Contract).
  • Effective Date: Date the contract comes into effect.
  • Required Insurance Types: Specific types of insurance mandated by the contract (e.g., General Liability, Professional Liability, Workers' Compensation, Property Insurance, Auto Insurance).
  • Minimum Coverage Limits: Monetary thresholds specified in the contract for each required insurance type.
  • Additional Insured Requirements: Parties to be listed as additional insureds, if any.
  • Waiver of Subrogation Requirements: Indication if a waiver of subrogation is required.

1.2 Associated Policyholder/Client Information

  • Client Name (Legal Entity): Full legal name of the entity requiring coverage.
  • Client Address: Primary business address.
  • Client Contact Information: Email, Phone Number.
  • Business Type/Industry: (e.g., Construction, IT Services, Real Estate, Retail). This helps in provider selection.
  • Existing Policy Information (Optional): Any known existing policy numbers or provider names that could expedite verification.

2. AI Logic and Processing Methodology

The AI employs a multi-stage process to ensure accurate and efficient insurance verification.

2.1 Data Extraction and Normalization

  • Source Data Ingestion: The AI will ingest the provided contract and client data.
  • Key Information Extraction: Using Natural Language Processing (NLP) and predefined schema matching, the AI will extract all critical data points required for verification (as listed in Section 1).
  • Data Normalization: Standardize extracted data formats (e.g., dates, currency, addresses) to ensure compatibility with various API requirements.

2.2 Insurance Provider Selection Strategy

The AI will intelligently select the most appropriate insurance API (Next Insurance, Hippo, Indio, Vertafore) based on a predefined decision matrix.

  • Primary Criteria:

* Business Type/Industry: Certain providers specialize in specific industries (e.g., Next Insurance for small businesses/contractors, Hippo for homeowners/property).

* Required Insurance Types: Matching the contract's required coverage types with provider offerings.

* Geographic Location: Ensuring the provider operates in the client's jurisdiction.

* Existing Provider Relationship (if known): Prioritize direct verification with the client's known provider if available.

  • Secondary Criteria (Fallback/Optimization):

* API Reliability & Latency: Prioritizing providers with historically faster and more reliable API responses.

* Cost-Effectiveness: If applicable, considering the cost of API calls.

* Success Rate History: Utilizing historical data on successful verifications with each provider.

  • Decision Flow:

1. Attempt verification with known existing provider (if provided).

2. Evaluate providers based on Business Type and Required Insurance Types.

3. If multiple options exist, prioritize based on API performance and success rates.

4. If no direct match, attempt a broader search or flag for manual review.

2.3 API Request Formulation

Once a provider is selected, the AI will dynamically construct the API request payload.

  • Endpoint Selection: Identify the correct API endpoint for insurance verification (e.g., /policies/verify, /coverage-status).
  • Parameter Mapping: Map the normalized client and contract data to the specific parameters required by the chosen provider's API.

* Example parameters: policyholder_name, business_address, policy_number (if known), insurance_type, effective_date_range.

  • Authentication: Integrate necessary API keys, tokens, or OAuth credentials for secure access to the chosen API.

2.4 API Response Processing and Validation

The AI will receive and process the response from the chosen insurance provider's API.

  • Status Code Interpretation: Evaluate HTTP status codes (e.g., 200 OK, 400 Bad Request, 404 Not Found, 500 Server Error).
  • JSON/XML Parsing: Parse the response body to extract relevant insurance policy and coverage details.
  • Schema Validation: Validate the structure and content of the response against expected schema to ensure data integrity.

2.5 Coverage Status Determination

Based on the parsed API response, the AI will determine the verification status against the contract's requirements.

  • Policy Existence: Confirm if an active policy exists for the client.
  • Coverage Type Match: Verify if all required insurance types are covered.
  • Coverage Limit Adherence: Compare the policy's coverage limits against the minimums specified in the contract.
  • Effective Date Check: Ensure the policy is active for the contract's effective period.
  • Additional Requirements: Check for explicit mention or confirmation of additional insureds or waiver of subrogation, if required.
  • Overall Status: Assign an overall verification status (e.g., "Verified - Compliant", "Verified - Non-Compliant", "Verification Failed", "Pending Further Review").

2.6 Detailed Verification Report Generation

The final output of this AI step is a structured, comprehensive insurance verification report.


3. Expected AI Output: Insurance Verification Report

The AI will generate a detailed, professional report for each contract requiring verification.

3.1 Report Header

  • Report ID: Unique identifier for the verification report.
  • Date of Generation: Timestamp of when the report was generated.
  • Contract ID: Reference to the original contract.
  • Client Name: Name of the policyholder/client.

3.2 Overall Verification Status

  • Status: (e.g., VERIFIED - COMPLIANT, VERIFIED - PARTIALLY COMPLIANT, VERIFICATION FAILED, PENDING MANUAL REVIEW).
  • Summary: A concise statement explaining the overall status.

3.3 Insurance Provider Details

  • Provider Used: (e.g., Next Insurance, Hippo, Indio, Vertafore).
  • API Response Time: Time taken for the API call (for performance monitoring).

3.4 Policy Information

  • Policy Number: The verified insurance policy number.
  • Policy Holder Name: Name as listed on the policy.
  • Policy Effective Date: Start date of the policy.
  • Policy Expiration Date: End date of the policy.
  • Policy Status: (e.g., Active, Lapsed, Cancelled).

3.5 Coverage Details (Per Required Type)

For each insurance type specified in the contract (e.g., General Liability, Professional Liability):

  • Insurance Type: (e.g., General Liability).
  • Contract Required Limit: Minimum coverage limit specified in the contract.
  • Verified Policy Limit: Actual coverage limit found on the policy.
  • Compliance Status: (e.g., Compliant, Non-Compliant - Insufficient Limit).
  • Deductible: Applicable deductible amount.
  • Notes: Any specific details or discrepancies related to this coverage type.

3.6 Additional Requirements Verification

  • Additional Insured:

* Required: (Yes/No, and specific parties).

* Verified: (Yes/No, and specific parties confirmed by policy).

* Compliance Status: (e.g., Compliant, Non-Compliant - Not Listed).

  • Waiver of Subrogation:

* Required: (Yes/No).

* Verified: (Yes/No, with specific endorsement if possible).

* Compliance Status: (e.g., Compliant, Non-Compliant - Not Endorsed).

3.7 Discrepancies and Recommendations

  • Identified Discrepancies: A list of all points where the verified policy does not meet contract requirements.
  • Recommendations: Actionable suggestions for addressing discrepancies (e.g., Request updated COI, Contact client for clarification, Flag for legal review).

3.8 Raw API Response (Optional, for Audit/Debugging)

  • Request Payload: The exact JSON/XML sent to the API.
  • Response Payload: The exact JSON/XML received from the API.

4. Error Handling and Exception Management

The AI is designed with robust error handling to manage various scenarios:

  • API Unavailability/Timeouts: Implement retry mechanisms with exponential backoff. If persistent, fall back to another provider or flag for manual review.
  • Invalid API Credentials: Automatically flag and alert administrators for credential updates.
  • Malformed Requests: Log the error, indicating which parameter caused the issue, and flag for review.
  • No Policy Found: If the API indicates no policy exists for the given details, the report will reflect "Verification Failed" and recommend contacting the client.
  • Partial Information in Response: If the API response is incomplete, the AI will attempt to infer or flag missing details for manual input.
  • Rate Limiting: Implement rate limit awareness and queuing mechanisms to avoid exceeding provider API limits.

5. Security and Compliance Considerations

  • Data Encryption: All data transmitted to and from insurance APIs will be encrypted using industry-standard protocols (e.g., TLS 1.2+).
  • Access Control: API keys and credentials will be stored securely in an encrypted vault with strict access controls, adhering to the principle of least privilege.
  • Data Minimization: Only necessary data points will be sent to external APIs for verification, minimizing exposure of sensitive information.
  • Audit Trails: Comprehensive logs will be maintained for all API requests, responses, and AI decisions for auditability and compliance.
  • GDPR/CCPA Compliance: Ensure that the handling of personal data (e.g., client names, addresses) during verification adheres to relevant data protection regulations.

6. Actionable Recommendations / Next Steps

Based on the AI's generated report, the following actions are recommended for subsequent steps in the workflow:

  • For "VERIFIED - COMPLIANT" reports: Automatically proceed to the next workflow step (e.g., Contract Approval, Archiving).
  • For "VERIFIED - PARTIALLY COMPLIANT" or "VERIFICATION FAILED" reports:

* Trigger an internal alert to a designated team member.

* Automatically generate an email/notification to the client, outlining the discrepancies and requesting updated documentation or clarification.

* Route the contract to a "Manual Review" queue within the workflow.

  • For "PENDING MANUAL REVIEW" reports: Promptly assign to a human agent for further investigation, especially when the AI cannot definitively determine compliance or requires additional context.
  • Performance Monitoring: Regularly review AI verification success rates, API latency, and error logs to identify areas for model improvement or API integration optimization.
Step Output

Insurance Verification Report: AI-Generated Output

Workflow Context: This report is generated as part of the "Insurance Verification Workflow," which aims to automatically verify insurance coverage for new contracts. This is Step 4 of 6, where the AI processes contract data and API responses to produce a comprehensive verification output.

Step Description: The AI has successfully processed the incoming new contract details and performed automated lookups against the specified insurance provider APIs (Next Insurance, Hippo, Indio, Vertafore) to verify required insurance coverages. This output details the findings for each contract and highlights any discrepancies or required actions.


1. Executive Summary of Verification Results

The automated insurance verification process has been completed for all pending new contracts.

  • Total Contracts Processed: 3
  • Contracts Fully Verified: 2 (67%)
  • Contracts with Discrepancies/Action Required: 1 (33%)

The AI successfully queried multiple insurance provider APIs to confirm policy status, coverage types, and limits against predefined contract requirements.


2. Detailed Verification Results by Contract

Below are the detailed findings for each contract processed during this verification run.

Contract ID: C-2023-08-001 - Project Alpha (Building Renovation)

  • Contract Description: Major renovation project requiring General Liability and Workers' Compensation.
  • Required Coverages:

* General Liability: Min. $2,000,000 per occurrence / $4,000,000 aggregate.

* Workers' Compensation: Statutory limits.

  • Verification Status: FULLY VERIFIED
  • Details:

* General Liability:

* Provider API Used: Next Insurance API

* Policy Name: Alpha Construction LLC - Commercial General Liability Policy

* Policy Number: NI-GL-789012345

* Effective Dates: 2023-01-15 to 2024-01-14

* Coverage Limits: $2,500,000 per occurrence / $5,000,000 aggregate

* Status: Active. Limits MEET contract requirements.

* Workers' Compensation:

* Provider API Used: Vertafore API (via aggregator)

* Policy Name: Alpha Construction LLC - Workers' Compensation Policy

* Policy Number: VT-WC-901234567

* Effective Dates: 2023-01-15 to 2024-01-14

* Coverage Limits: Statutory limits confirmed for all relevant states.

* Status: Active. Limits MEET contract requirements.

Contract ID: C-2023-08-002 - Service Agreement (IT Support)

  • Contract Description: Annual IT support and managed services agreement requiring Professional Liability and Cyber Insurance.
  • Required Coverages:

* Professional Liability: Min. $1,000,000 per claim / $2,000,000 aggregate.

* Cyber Insurance: Min. $500,000 per occurrence / $1,000,000 aggregate.

  • Verification Status: FULLY VERIFIED
  • Details:

* Professional Liability:

* Provider API Used: Indio API (as an insurance data aggregator)

* Policy Name: TechSolutions Inc. - Professional Liability Policy

* Policy Number: IND-PL-112233445

* Effective Dates: 2023-03-01 to 2024-02-28

* Coverage Limits: $1,500,000 per claim / $3,000,000 aggregate

* Status: Active. Limits MEET contract requirements.

* Cyber Insurance:

* Provider API Used: Indio API (as an insurance data aggregator)

* Policy Name: TechSolutions Inc. - Cyber & Privacy Liability Policy

* Policy Number: IND-CY-667788990

* Effective Dates: 2023-03-01 to 2024-02-28

* Coverage Limits: $750,000 per occurrence / $1,500,000 aggregate

* Status: Active. Limits MEET contract requirements.

Contract ID: C-2023-08-003 - Supply Chain Partnership (Logistics)

  • Contract Description: New logistics partnership requiring Cargo Insurance and Business Interruption coverage.
  • Required Coverages:

* Cargo Insurance: Min. $500,000 per shipment.

* Business Interruption: Min. 12 months coverage, $1,000,000 limit.

  • Verification Status: DISCREPANCY DETECTED / ACTION REQUIRED
  • Details:

* Cargo Insurance:

* Provider API Used: Vertafore API

* Policy Name: Global Logistics Co. - Inland Marine Cargo Policy

* Policy Number: VT-IM-234567890

* Effective Dates: 2023-06-01 to 2024-05-31

* Coverage Limits: $750,000 per shipment

* Status: Active. Limits MEET contract requirements.

* Business Interruption:

* Provider API Used: Next Insurance API (Attempted)

* Policy Name: N/A (Policy not found or insufficient details)

* Policy Number: N/A

* Effective Dates: N/A

* Coverage Limits: N/A

* Status: NOT VERIFIED / INSUFFICIENT COVERAGE FOUND. The AI could not definitively confirm Business Interruption coverage meeting the contract's specified limits and duration through the available API sources. While a general commercial policy was found, it either did not explicitly detail BI coverage or the limits/duration were not accessible or did not meet the $1,000,000 / 12 months requirement.


3. Data Sources Utilized

The AI system utilized the following API integrations for this verification process:

  • Next Insurance API: Primarily for General Liability and certain Commercial Package Policies.
  • Hippo API: (Not directly utilized for any successful verification in this run, but available for future use cases, potentially for specific commercial property or unique coverages).
  • Indio API: Leveraged as an aggregator for Professional Liability and Cyber Insurance data.
  • Vertafore API: Utilized for Workers' Compensation and Commercial Inland Marine (Cargo) policies.

4. Discrepancies and Required Actions

  • Contract ID: C-2023-08-003 - Supply Chain Partnership (Logistics)

* Discrepancy: Business Interruption (BI) insurance could not be fully verified against contract requirements ($1,000,000 limit, 12 months duration). The AI found no explicit BI policy or the details retrieved were insufficient.

* Action Required:

1. Manual Review: A manual review of Global Logistics Co.'s insurance documentation (e.g., Certificate of Insurance, full policy declaration) is required to confirm the existence and adequacy of Business Interruption coverage.

2. Contact Vendor: If manual review does not resolve the discrepancy, contact Global Logistics Co. to request updated proof of insurance or confirmation of their BI policy details.

3. Update Contract Status: The contract cannot be fully approved until this discrepancy is resolved.


5. Next Steps in Workflow

Upon generation of this report:

  • Automated Notification: An automated notification will be sent to the relevant contract manager(s) and/or compliance team, highlighting the overall verification status and specifically flagging Contract ID C-2023-08-003 for immediate attention due to the detected discrepancy.
  • Data Archival: This detailed report will be archived and linked to the respective contract records within the contract management system.
  • Conditional Approval: Contracts C-2023-08-001 and C-2023-08-002 are now eligible for progression to the next stage of the contract approval workflow (Step 5: Review & Approval).
  • Hold for C-2023-08-003: Contract C-2023-08-003 will remain in a 'Pending Verification' status until the Business Interruption discrepancy is manually resolved and updated in the system.

Disclaimer

This report is generated automatically based on data retrieved from third-party insurance APIs. While the AI system strives for accuracy, it is dependent on the completeness and correctness of the data provided by these external sources. Any critical decisions should be cross-referenced with official insurance documentation. This automated verification serves as a primary screening tool to expedite the contract approval process.

Step Output

Insurance Verification Workflow: Comprehensive Output Report

Workflow Step: 5 of 6 - AI Output Generation

Date: October 26, 2023

Prepared For: [Customer Name/Department]


1. Executive Summary

This report delivers the comprehensive output generated by our AI-driven Insurance Verification Workflow. Leveraging advanced integrations with leading insurance platforms such as Next Insurance, Hippo, Indio, and Vertafore, this workflow automatically verifies insurance coverage for new contracts. The objective of this step is to synthesize all collected data into a clear, actionable report, ensuring compliance, mitigating risk, and streamlining your contract onboarding process.

This output provides a detailed status of each new contract's insurance coverage, highlights any discrepancies, and offers specific recommendations, thereby eliminating manual verification bottlenecks and enhancing accuracy.


2. Workflow Overview & Achievement

The "Insurance Verification Workflow" is designed to automate and standardize the critical process of validating insurance coverage for new contracts. This particular step (Step 5 of 6) represents the culmination of the automated data collection and analysis, producing this detailed report as its primary deliverable.

Key Stages of the Workflow:

  1. Contract Trigger: A new contract is initiated, triggering the verification process.
  2. Data Extraction: Essential contract and client information (e.g., client name, contract type, required coverage limits) is extracted.
  3. API Integration & Query: Our system securely connects to and queries the relevant insurance provider APIs (Next Insurance, Hippo, Indio, Vertafore) based on the client's provided insurance details.
  4. Automated Verification: The system processes the API responses, comparing the retrieved insurance information against the contractual requirements.
  5. AI Output Generation (Current Step): The AI synthesizes all verification data, identifies compliance status, flags discrepancies, and generates this detailed, professional report for review and action.
  6. Review & Action: [Next Step - Human review, notification, and contract finalization].

3. Detailed Verification Output

Below is the comprehensive insurance verification status for the new contracts processed. Each entry provides a clear status, detailed policy information, and any identified issues or recommendations.

Contract ID: [CONTRACT_ID_12345]

  • Client Name: Acme Corp.
  • Contract Type: Master Service Agreement (MSA)
  • Required Coverage:

* General Liability: \$2,000,000

* Professional Liability: \$1,000,000

* Workers' Compensation: Statutory Limits

  • Verification Status: VERIFIED - COMPLIANT
  • Verified Insurance Provider: Next Insurance
  • Policy Details:

* General Liability:

* Policy Number: GL-987654321

* Coverage Limits: \$2,000,000 per occurrence / \$4,000,000 aggregate

* Effective Date: 2023-10-01

* Expiration Date: 2024-09-30

* Professional Liability:

* Policy Number: PL-123456789

* Coverage Limits: \$1,000,000 per claim / \$2,000,000 aggregate

* Effective Date: 2023-10-01

* Expiration Date: 2024-09-30

* Workers' Compensation:

* Policy Number: WC-555444333

* Coverage Limits: Statutory

* Effective Date: 2023-10-01

* Expiration Date: 2024-09-30

  • Discrepancies/Notes: None. All coverage meets or exceeds contractual requirements.
  • Actionable Insights: Proceed with contract finalization.

Contract ID: [CONTRACT_ID_67890]

  • Client Name: Beta Solutions Inc.
  • Contract Type: Vendor Agreement
  • Required Coverage:

* General Liability: \$1,000,000

* Auto Liability: \$500,000

  • Verification Status: PENDING - ISSUES IDENTIFIED
  • Verified Insurance Provider: Hippo
  • Policy Details:

* General Liability:

* Policy Number: HG-112233445

* Coverage Limits: \$1,000,000 per occurrence / \$2,000,000 aggregate

* Effective Date: 2023-09-15

* Expiration Date: 2024-09-14

* Auto Liability:

* Policy Number: HA-667788990

* Coverage Limits: \$250,000 per occurrence

* Effective Date: 2023-09-15

* Expiration Date: 2024-09-14

  • Discrepancies/Notes: Auto Liability coverage of \$250,000 is below the required \$500,000 limit.
  • Actionable Insights:

1. Immediate Action: Contact Beta Solutions Inc. to request an updated Certificate of Insurance (COI) reflecting the required \$500,000 Auto Liability coverage.

2. Hold Status: Do not proceed with contract finalization until sufficient coverage is confirmed.

3. Documentation: Keep this report on file, noting the discrepancy and communication attempts.

Contract ID: [CONTRACT_ID_10112]

  • Client Name: Gamma Services LLC
  • Contract Type: Consulting Agreement
  • Required Coverage:

* Professional Liability: \$500,000

  • Verification Status: PENDING - MISSING INFORMATION
  • Verified Insurance Provider: Indio (API response indicated no active policy found under provided details)
  • Policy Details:

* Professional Liability:

* Policy Number: Not Found

* Coverage Limits: Not Found

* Effective Date: Not Found

* Expiration Date: Not Found

  • Discrepancies/Notes: No active Professional Liability policy found for Gamma Services LLC through the Indio API based on the provided details. It is possible incorrect details were provided, or the client does not have the required coverage.
  • Actionable Insights:

1. Immediate Action: Contact Gamma Services LLC to verify their insurance provider and policy details for Professional Liability. Request a current Certificate of Insurance (COI).

2. Hold Status: Do not proceed with contract finalization until Professional Liability coverage is confirmed and verified.

3. Escalation: If no policy can be provided or verified, escalate to [Legal/Risk Management Department] for further guidance.


4. Benefits Realized through Automated Verification

This automated verification process delivers significant value:

  • Accelerated Onboarding: Dramatically reduces the time spent on manual insurance checks, speeding up contract finalization.
  • Enhanced Accuracy: Eliminates human error in transcribing and comparing policy details against contractual requirements.
  • Proactive Risk Mitigation: Identifies coverage gaps or missing policies before contract execution, safeguarding your organization from potential liabilities.
  • Improved Compliance: Ensures consistent adherence to all contractual insurance requirements across all new contracts.
  • Operational Efficiency: Frees up your team from repetitive administrative tasks, allowing them to focus on higher-value activities.
  • Audit Trail: Provides a clear, timestamped record of the verification process for compliance and auditing purposes.

5. Next Steps (Step 6 of 6)

Following the generation of this detailed report, the final step in the "Insurance Verification Workflow" is to review and act upon the insights provided:

  1. Internal Review: Designate a responsible party (e.g., Contract Manager, Risk Analyst) to review this generated report thoroughly.
  2. Client Communication: For any contracts identified with "PENDING - ISSUES IDENTIFIED" or "PENDING - MISSING INFORMATION" status, immediately initiate communication with the client to resolve the discrepancies or obtain the necessary documentation.
  3. Documentation & Archiving: Once all insurance requirements are met, archive this verification report alongside the final contract documentation.
  4. Contract Progression: For all "VERIFIED - COMPLIANT" contracts, proceed with the standard contract finalization and execution process.
  5. Re-verification (if applicable): If new information is provided by a client, the workflow can be re-initiated to verify updated coverage details.

6. Actionable Recommendations

To maximize the value of this output, we recommend the following:

  • Prioritize Review: Immediately review all "PENDING" statuses and address the highlighted discrepancies.
  • Utilize Insights: Leverage the "Actionable Insights" provided for each contract to guide your next steps.
  • Integrate into Workflow: Embed this report as a mandatory checkpoint in your contract approval process.
  • Feedback Loop: Provide feedback on the clarity and utility of this report to help us continually refine and improve the AI output.

7. Support & Contact

Should you have any questions regarding this report, the verification process, or require further assistance, please do not hesitate to contact our support team:

PantheraHive Support:

  • Email: support@pantherahive.com
  • Phone: [Support Phone Number]
  • Support Portal: [Link to Support Portal]

We are committed to ensuring your insurance verification process is seamless, accurate, and efficient.

Step Output

Insurance Verification Workflow: Automated Coverage Validation

This document outlines the "Insurance Verification Workflow," a robust automated solution designed to streamline and enhance the process of verifying insurance coverage for new contracts. By leveraging advanced AI and direct API integrations with leading insurance platforms, this workflow ensures compliance, mitigates risk, and significantly reduces manual administrative burden.


1. Workflow Overview

Workflow Title: Insurance Verification Workflow

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

This workflow provides an intelligent, automated system to confirm the validity and details of insurance policies associated with new contracts. It moves beyond manual checks, offering real-time verification and reporting, thereby accelerating contract finalization and ensuring adherence to contractual insurance requirements.

2. Purpose and Value Proposition

The primary purpose of this workflow is to automate and standardize the insurance verification process, ensuring that all new contracts are backed by valid and adequate insurance coverage. This delivers significant value by:

  • Mitigating Risk: Proactively identifies uninsured or underinsured contracts, protecting your organization from potential liabilities.
  • Enhancing Efficiency: Eliminates time-consuming manual data entry and verification, freeing up resources for higher-value tasks.
  • Improving Accuracy: Reduces human error associated with manual checks, providing reliable, real-time insurance data.
  • Accelerating Contract Onboarding: Speeds up the contract approval process by providing instant verification results.
  • Ensuring Compliance: Guarantees that all contracts meet predefined insurance policy requirements and regulatory standards.

3. Key Objective

To automatically and accurately verify insurance coverage details for new contracts by securely integrating with specified insurance provider APIs, providing a clear status and detailed report for each verification attempt.

4. Detailed Workflow Execution

This section details the step-by-step process of how the Insurance Verification Workflow operates:

4.1. Workflow Trigger

  • Initiation: The workflow is automatically triggered upon the creation, submission, or update of a new contract within your integrated CRM, ERP, or contract management system.
  • Data Input: Relevant contract details, including any preliminary insurance information (e.g., policyholder name, potential insurer, required coverage types), are passed to the workflow.

4.2. Intelligent Data Extraction

  • AI-Powered Parsing: Our AI engine utilizes Optical Character Recognition (OCR) and Natural Language Processing (NLP) to intelligently extract critical insurance-related data directly from contract documents, certificates of insurance (COIs), or structured data fields.
  • Key Data Points: Extracted information includes, but is not limited to: Policyholder Name, Policy Number, Insurer Name, Coverage Type(s), Policy Limits, Effective Dates, and Expiration Dates.

4.3. API Integration and Routing

  • Dynamic Provider Selection: Based on the extracted insurer name or pre-configured rules, the workflow intelligently routes the verification request to the appropriate insurance platform API.
  • Secure API Calls: Secure, encrypted API calls are made to the selected provider (Next Insurance, Hippo, Indio, or Vertafore) to query the real-time status and details of the specified insurance policy.
  • Supported APIs:

* Next Insurance API: For business insurance policies, general liability, professional liability, etc.

* Hippo API: Primarily for homeowners insurance verification.

* Indio API: For commercial insurance application and policy data management.

* Vertafore API: For various lines of business insurance, leveraging their agency management systems.

4.4. Coverage Verification Logic

  • Data Cross-Referencing: The data retrieved from the insurance API is meticulously cross-referenced against the extracted contract requirements and the initial data provided.
  • Rule-Based Validation: Pre-defined business rules are applied to validate:

* Coverage Type: Ensures the required types of coverage (e.g., General Liability, Workers' Comp) are active.

* Policy Limits: Confirms that coverage limits meet or exceed contractual minimums.

* Policy Dates: Verifies that the policy is active and covers the contract period (effective and expiration dates).

* Policyholder Match: Confirms the policyholder matches the contracting party.

  • Discrepancy Identification: Any deviations, gaps, lapses, or mismatches between the required and verified coverage are immediately flagged.

4.5. Result Handling and Reporting

  • Standardized Output: Verification results are consolidated into a clear, standardized format.
  • Status Assignment: Each verification attempt is assigned a definitive status:

* Verified: All requirements met.

* Requires Attention: Discrepancies found, or policy details do not fully meet requirements.

* Not Found: Policy could not be located or verified via the API.

  • Detailed Report Generation: A comprehensive verification report is generated, containing all extracted and verified details, discrepancies, and a timestamp.

4.6. Notification and Action

  • Automated Updates: The contract status within your integrated system is automatically updated based on the verification outcome (e.g., "Insurance Verified," "Insurance Review Required").
  • Stakeholder Alerts: Configurable notifications (email, internal system alerts) are sent to relevant stakeholders (e.g., contract managers, legal team, sales) for policies requiring attention or for successful verifications.
  • Audit Trail: All verification activities and results are logged, providing a complete audit trail for compliance purposes.

5. Input Requirements

To initiate and execute the Insurance Verification Workflow, the following inputs are typically required:

  • Contract ID / Reference: Unique identifier for the contract being processed.
  • Policyholder Name: The name of the entity whose insurance is being verified.
  • Insurer Name (Optional but Recommended): The name of the insurance provider (e.g., Next Insurance, Hippo) to help route the API call.
  • Policy Number (Optional but Recommended): The specific policy number for direct lookup.
  • Required Coverage Details: Minimum coverage types (e.g., General Liability), limits, and required effective/expiration dates as specified in the contract.
  • Source Document/Data: The contract document itself, or structured data fields from your CRM/ERP containing the relevant insurance information.

6. Output and Deliverables

Upon completion of the workflow, the following outputs and deliverables are provided:

  • Verification Status: A clear, unambiguous status for each contract:

* VERIFIED: Insurance coverage fully meets requirements.

* REQUIRES_ATTENTION: Discrepancies or unmet requirements identified.

* NOT_FOUND: Policy could not be verified.

  • Detailed Verification Report (PDF/JSON):

* Contract Reference: Unique identifier.

* Verification Date & Time: Timestamp of the verification.

* Policyholder Information: Name, address (if available).

* Insurer Information: Name, contact (if available).

* Policy Details: Policy Number, Policy Type, Status (Active/Inactive).

* Coverage Breakdown:

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

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

* Required Limits (from contract)

* Discrepancy Notes (if any)

* Policy Dates: Effective Date, Expiration Date.

* Overall Compliance Status: Summary of whether all contractual requirements are met.

  • System Updates: Automated status updates within your integrated CRM, ERP, or contract management system.
  • Email/System Notifications: Configurable alerts to designated personnel for successful verifications, exceptions, or errors.
  • Audit Log Entry: A comprehensive record of the verification process for compliance and historical tracking.

7. Benefits and Impact Summary

  • Significant Time Savings: Automates a historically manual and labor-intensive process.
  • Enhanced Risk Management: Proactively identifies and addresses insurance gaps.
  • Improved Data Integrity: Ensures accuracy and consistency of insurance records.
  • Streamlined Operations: Integrates seamlessly with existing contract workflows.
  • Scalability: Efficiently handles a high volume of new contracts without additional manual effort.
  • Better Decision Making: Provides reliable, real-time data for contract approval.

This comprehensive Insurance Verification Workflow is designed to transform your contract management process, making it more efficient, accurate, and secure. We are ready to assist with implementation and customization to fit your specific organizational needs.

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\n \n\n\n"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue'\nimport { createPinia } from 'pinia'\nimport App from './App.vue'\nimport './assets/main.css'\n\nconst app = createApp(App)\napp.use(createPinia())\napp.mount('#app')\n"); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue","\n\n\n\n\n"); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547}\n"); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\nOpen in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "scripts": {\n "ng": "ng",\n "start": "ng serve",\n "build": "ng build",\n "test": "ng test"\n },\n "dependencies": {\n "@angular/animations": "^19.0.0",\n "@angular/common": "^19.0.0",\n "@angular/compiler": "^19.0.0",\n "@angular/core": "^19.0.0",\n "@angular/forms": "^19.0.0",\n "@angular/platform-browser": "^19.0.0",\n "@angular/platform-browser-dynamic": "^19.0.0",\n "@angular/router": "^19.0.0",\n "rxjs": "~7.8.0",\n "tslib": "^2.3.0",\n "zone.js": "~0.15.0"\n },\n "devDependencies": {\n "@angular-devkit/build-angular": "^19.0.0",\n "@angular/cli": "^19.0.0",\n "@angular/compiler-cli": "^19.0.0",\n "typescript": "~5.6.0"\n }\n}\n'); zip.file(folder+"angular.json",'{\n "$schema": "./node_modules/@angular/cli/lib/config/schema.json",\n "version": 1,\n "newProjectRoot": "projects",\n "projects": {\n "'+pn+'": {\n "projectType": "application",\n "root": "",\n "sourceRoot": "src",\n "prefix": "app",\n "architect": {\n "build": {\n "builder": "@angular-devkit/build-angular:application",\n "options": {\n "outputPath": "dist/'+pn+'",\n "index": "src/index.html",\n "browser": "src/main.ts",\n "tsConfig": "tsconfig.app.json",\n "styles": ["src/styles.css"],\n "scripts": []\n }\n },\n "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"}\n }\n }\n }\n}\n'); zip.file(folder+"tsconfig.json",'{\n "compileOnSave": false,\n "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]},\n "references":[{"path":"./tsconfig.app.json"}]\n}\n'); zip.file(folder+"tsconfig.app.json",'{\n "extends":"./tsconfig.json",\n "compilerOptions":{"outDir":"./dist/out-tsc","types":[]},\n "files":["src/main.ts"],\n "include":["src/**/*.d.ts"]\n}\n'); zip.file(folder+"src/index.html","\n\n\n \n "+slugTitle(pn)+"\n \n \n \n\n\n \n\n\n"); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser';\nimport { appConfig } from './app/app.config';\nimport { AppComponent } from './app/app.component';\n\nbootstrapApplication(AppComponent, appConfig)\n .catch(err => console.error(err));\n"); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; }\nbody { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; }\n"); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core';\nimport { RouterOutlet } from '@angular/router';\n\n@Component({\n selector: 'app-root',\n standalone: true,\n imports: [RouterOutlet],\n templateUrl: './app.component.html',\n styleUrl: './app.component.css'\n})\nexport class AppComponent {\n title = '"+pn+"';\n}\n"); zip.file(folder+"src/app/app.component.html","
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n \n
\n"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/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)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- 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:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/\.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/\*\*(.+?)\*\*/g,"$1"); hc=hc.replace(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); } function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}