Insurance Verification Workflow
Run ID: 69cbe90361b1021a29a8d7652026-03-31Compliance
PantheraHive BOS
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Step 3 of 6: AI → Generate Insurance Verification Request

This document details the generation phase performed by the AI engine within the "Insurance Verification Workflow". This step is critical for transforming raw contract data into actionable, API-ready requests for insurance verification.


1. Introduction and Context

Workflow Name: Insurance Verification Workflow

Current Step: Step 3 of 6: AI → Generate

Overall Workflow Goal: To automatically verify insurance coverage for new contracts using Next Insurance, Hippo, Indio, or Vertafore APIs.

The "AI → Generate" step is responsible for intelligently processing the contract data collected in previous steps, determining the most suitable insurance API provider, and constructing the precise API request payload required for verification. This ensures accuracy, efficiency, and seamless integration with external insurance platforms.

2. Objective of This Step

The primary objective of this step is to:

3. AI Generation Process Details

The AI engine employs a multi-faceted approach to generate the insurance verification request:

3.1. Input Data for AI

The AI receives a comprehensive data package from the preceding steps (e.g., "Contract Data Ingestion" and "Data Enrichment"). This package typically includes:

3.2. Core AI Functions

The AI performs the following key functions:

* Utilizes Natural Language Processing (NLP) to parse contract documents and structured data, identifying entities such as company names, policy numbers, coverage types, limits, and effective dates.

* Applies Machine Learning (ML) models trained to map these extracted entities to standardized insurance data fields required by the various API providers. This ensures consistent data interpretation regardless of the input format.

* The AI evaluates a set of predefined rules and learned patterns to select the optimal API provider. This logic considers:

* Client Preferences/History: Prior successful verifications with a specific provider for this client.

* Coverage Type Compatibility: Which provider best supports the specific coverage types required by the contract.

* Geographic Coverage: If a provider has regional limitations.

* Cost & Performance Metrics: Real-time or historical data on API response times, success rates, and associated costs.

* Fallback Mechanism: A prioritized list of alternative providers in case the primary choice is unavailable or consistently fails for a specific request type.

* User Overrides: Ability to consider manual overrides or preferences set by an administrator.

* Once a provider is selected, the AI accesses a repository of API specifications (schemas) for Next Insurance, Hippo, Indio, and Vertafore.

* It then constructs the JSON or XML payload, meticulously populating the required parameters (e.g., client_name, policy_type, coverage_amount, effective_date) with the extracted and mapped data.

* Handles data type conversions and formatting specific to each API endpoint.

* Before generating the final request, the AI performs a series of internal validation checks:

* Mandatory Field Check: Ensures all non-optional fields for the selected API are populated.

* Data Format Validation: Verifies that data types (e.g., dates, numbers) conform to API requirements.

* Business Rule Validation: Checks for common logical inconsistencies (e.g., effective date before contract date).

* If validation fails, the AI flags the issue and can either attempt remediation (e.g., using default values if appropriate) or escalate for human review.

* In cases where the primary API provider selection or request construction encounters an unresolvable issue, the AI is designed to:

* Log the Error: Record detailed error messages for auditing and debugging.

* Attempt Fallback: Re-evaluate and select the next preferred provider from the prioritized list and attempt to construct a request for that provider.

* Flag for Manual Review: If all automated attempts fail, the system generates an alert for human intervention, providing all relevant context.

4. Expected Output from This Step

The output of the "AI → Generate" step is a structured data object, typically in JSON format, containing all the necessary information for the subsequent API execution. This output is designed to be directly consumable by the "API Execution" step.

Example Output Structure:

json • 885 chars
{
  "verificationId": "VER-20231027-001",
  "contractId": "CONTRACT-XYZ-456",
  "status": "ReadyForApiExecution",
  "selectedApiProvider": "NextInsurance", // or Hippo, Indio, Vertafore
  "apiEndpoint": "https://api.nextinsurance.com/v1/verify-policy",
  "apiPayload": {
    "policyHolderName": "Acme Corp",
    "businessAddress": {
      "street": "123 Main St",
      "city": "Anytown",
      "state": "CA",
      "zip": "90210"
    },
    "policyType": "GeneralLiability",
    "minimumCoverageAmount": 1000000,
    "effectiveDate": "2023-11-01",
    "additionalInsured": [
      {
        "name": "PantheraHive Inc.",
        "relationship": "Client"
      }
    ],
    "policyNumber": null, // If not found in contract
    "referenceId": "CONTRACT-XYZ-456-VER"
  },
  "generationTimestamp": "2023-10-27T10:30:00Z",
  "notes": "Request generated successfully for Next Insurance."
}
Sandboxed live preview

Insurance Verification Workflow: Detailed Design & Implementation Proposal

This document outlines the comprehensive design and proposed implementation for the "Insurance Verification Workflow," aimed at automating and streamlining the process of verifying insurance coverage for new contracts. This deliverable serves as the foundational blueprint for the subsequent development and integration phases.


1. Workflow Objective

The primary objective of this workflow is to automatically verify insurance coverage for new contracts, significantly reducing manual effort, improving data accuracy, and accelerating the contract onboarding process. By integrating with leading insurance APIs, the system will ensure that all new contracts meet the required insurance criteria efficiently and reliably.


2. Key Features and Capabilities

The proposed workflow will encompass the following core features:

  • Automated Triggering: Initiate verification upon the creation or update of a new contract within the designated system (e.g., CRM, ERP).
  • Multi-API Integration: Seamlessly connect and query insurance data from Next Insurance, Hippo, Indio, and Vertafore APIs.
  • Intelligent Provider Routing: Dynamically select the most appropriate insurance provider API based on contract type, client details, or pre-defined business rules.
  • Data Extraction & Mapping: Automatically extract relevant contract details and map them to the specific data requirements of each insurance API.
  • Real-time Verification: Perform near real-time checks against required coverage types, limits, and policy effective dates.
  • Status Management: Assign clear verification statuses (e.g., Verified, Rejected, Pending, Manual Review) to each contract.
  • Notification System: Alert relevant stakeholders (e.g., contract managers, legal, sales) regarding verification outcomes and any discrepancies.
  • Comprehensive Audit Trail: Maintain a detailed log of all verification attempts, API responses, and system actions for compliance and review.
  • Configurable Business Rules: Allow for easy adjustment of verification criteria and provider selection logic without code changes.

3. API Integrations Strategy

The workflow will leverage the following insurance provider APIs, with a focus on secure and efficient data exchange:

  • Next Insurance API:

* Purpose: Primarily for small business insurance verification (e.g., General Liability, Workers' Comp).

* Data Exchange:

* Input: Business Name, FEIN/EIN, Policy Number (if available), Contact Information, Required Coverage Types/Limits.

* Output: Policy Status, Coverage Details (types, limits, deductibles), Effective/Expiration Dates, Insured Party Details.

* Authentication: API Key (to be securely managed).

* Error Handling: Specific handling for POLICY_NOT_FOUND, INVALID_CREDENTIALS, RATE_LIMIT_EXCEEDED.

  • Hippo Insurance API:

* Purpose: Focused on home and property insurance verification.

* Data Exchange:

* Input: Property Address, Homeowner Name, Policy Number, Required Coverage (e.g., Dwelling, Personal Property, Liability).

* Output: Policy Status, Coverage Amounts, Deductibles, Policy Term, Property Details.

* Authentication: API Key or OAuth (to be determined based on Hippo's latest API documentation).

* Error Handling: Robust handling for address validation failures, policy lookup errors, and API timeouts.

  • Indio (Applied Systems) API:

* Purpose: Digital submission platform for commercial lines; provides access to client policy data through broker workflows.

* Data Exchange:

* Input: Client ID, Policy Type, Broker Firm ID, Request for Certificate of Insurance (COI) details.

* Output: COI retrieval, Policy Summary, Coverage Confirmation. May require a more involved workflow for document retrieval.

* Authentication: OAuth 2.0 or Partner API Key.

* Error Handling: Management of document generation failures, client data mismatches, and access permission issues.

  • Vertafore (SurePath) API:

* Purpose: Broader insurance data exchange, often used by agencies for policy management and data access.

* Data Exchange:

* Input: Agency ID, Client Policy ID, Specific Data Query (e.g., policy details, claims history, coverage verification).

* Output: Comprehensive policy data, coverage specifics, effective dates, premium information.

* Authentication: API Key, potentially client certificate-based authentication.

* Error Handling: Detailed logging for data retrieval errors, authentication failures, and data format discrepancies.


4. High-Level Workflow Steps

The automated verification process will follow these sequential steps:

  1. Trigger Event: A new contract is created or marked for "Insurance Verification" in the source system (e.g., Salesforce, HubSpot, internal ERP).
  2. Data Extraction: Relevant contract details (e.g., Client Name, Contract ID, Required Insurance Types, Minimum Coverage Limits, Property Address, Business Type) are extracted.
  3. Provider Routing Logic: Based on the extracted contract data and pre-configured rules, the system determines which insurance API(s) to query.

Example Rule*: If ContractType is "Commercial Lease" and ClientIndustry is "Construction", query Next Insurance for General Liability, and potentially Indio/Vertafore for broader commercial coverage. If ContractType is "Residential Rental", query Hippo.

  1. API Call & Data Submission: The system constructs and sends the appropriate request to the selected insurance provider's API, securely transmitting necessary data.
  2. Response Processing: The system receives and parses the API response, extracting key policy information (e.g., policy status, coverage types, limits, effective/expiration dates).
  3. Verification Logic: The extracted policy information is compared against the required insurance criteria defined for the contract.

Checks include*: Is the required coverage type present? Are the limits sufficient? Is the policy active for the contract duration?

  1. Status Update:

* If all criteria are met, the contract status is updated to Verified.

* If criteria are not met (e.g., insufficient limits, missing coverage), the status is updated to Rejected.

* If the API call fails or the response is ambiguous, the status is set to Manual Review.

  1. Notification: An automated notification (email, Slack, internal dashboard alert) is sent to relevant stakeholders, detailing the verification outcome and any necessary follow-up actions.
  2. Record Keeping: All verification details, including API request/response payloads, parsed data, and final status, are securely logged and associated with the contract.

5. Data Flow and Processing

  • Input Data: Structured data representing a new contract, typically JSON or XML, containing fields like contractId, clientName, requiredCoverageTypes, minCoverageLimits, effectiveDate, endDate, propertyAddress, businessType.
  • Data Transformation: An internal service will map and transform the generic contract data into the specific request formats required by each insurance provider's API.
  • Output Data: The primary output will be a VerificationResult object, containing:

* contractId

* verificationStatus (Verified, Rejected, Manual Review, Pending)

* verifiedPolicies (array of objects, each detailing policy number, provider, coverage types, limits, effective/expiration dates)

* discrepancies (array of strings, e.g., "General Liability limit too low", "Policy expired")

* timestamp

* apiResponseLogs (for auditing)

  • Data Storage: Verification results will be stored securely in a dedicated database or integrated back into the source contract management system.

6. Error Handling and Notifications

A robust error handling mechanism is crucial for the reliability of the workflow:

  • API Failure Management:

* Retries: Implement exponential backoff for transient API errors (e.g., network issues, rate limits).

* Circuit Breaker: Prevent repeated calls to a failing API to protect both our system and the external API.

* Fallback: If primary API fails, attempt verification with a secondary provider if applicable (configurable).

  • Data Validation Errors:

* Handle cases where required input data is missing or malformed.

* Flag contracts for Manual Review if essential data for API query is absent.

  • Verification Discrepancies:

Clearly identify why* a contract was Rejected (e.g., "General Liability $1M required, $500K found").

  • Notification Channels:

* Email: For critical failures, Rejected contracts, and Manual Review flags.

* Internal Messaging (e.g., Slack/Teams): For real-time alerts to operations teams.

* Dashboard Alerts: Visual indicators on a central monitoring dashboard.

  • Severity Levels: Categorize errors (e.g., Critical, Warning, Info) to prioritize alerts and actions.

7. Reporting and Audit Trail

  • Dashboard: A centralized dashboard will provide an overview of:

* Total contracts verified.

* Percentage of Verified, Rejected, Manual Review contracts.

* Breakdown by insurance provider.

* Throughput and latency metrics.

  • Detailed Logs: Every step of the verification process, including API requests, responses, data transformations, and decision logic, will be logged. These logs will be searchable and filterable.
  • Audit Trail: A tamper-proof record of each verification attempt, including timestamps, user actions (if any manual overrides), and system decisions, ensuring compliance and accountability.

8. Security and Compliance

  • Data Encryption: All sensitive data will be encrypted both in transit (TLS 1.2+ for API calls) and at rest (database encryption).
  • Access Control: Strict role-based access control (RBAC) will be implemented to limit who can configure, monitor, or access verification data.
  • API Key Management: API keys and secrets will be stored securely in a dedicated secret management system (e.g., AWS Secrets Manager, Azure Key Vault) and rotated regularly.
  • Compliance: The workflow will be designed with consideration for relevant data privacy regulations (e.g., GDPR, CCPA) and industry-specific compliance requirements.
  • Input Sanitization: All input data will be sanitized to prevent injection attacks.

9. Scalability and Performance

  • Asynchronous Processing: The verification process will be designed to run asynchronously, preventing blocking of the main contract creation workflow. Message queues (e.g., Kafka, RabbitMQ, SQS) will be used to decouple components.
  • Stateless Services: Services will be stateless where possible to enable easy horizontal scaling.
  • Rate Limit Management: Implement client-side rate limiters for each API to avoid hitting provider-imposed limits.
  • Monitoring: Continuous monitoring of system resources, API call latencies, and error rates to identify and address performance bottlenecks proactively.

10. Customization and Configuration

The workflow will be highly configurable to adapt to evolving business needs:

  • Verification Rules Engine: Allow business users to define and modify verification criteria (e.g., "If ContractType is X, then require Y coverage with minimum Z limit").
  • Provider Routing Rules: Configure the logic for selecting which insurance API to query based on various contract attributes.
  • Notification Preferences: Customize who receives notifications, under what conditions, and via which channels.
  • API Endpoint Management: Easily update API endpoints, credentials, and versioning as providers make changes.

This detailed output provides a solid foundation for the subsequent steps of the "Insurance Verification Workflow" development, ensuring clarity, robustness, and alignment with the overarching objective.

Step Output

Workflow Context: Insurance Verification Workflow

This document details the AI-driven generation step (Step 2 of 6) within the "Insurance Verification Workflow." The primary objective of this workflow is to automatically verify insurance coverage for new contracts, streamlining the onboarding process and ensuring compliance. By leveraging specialized insurance provider APIs, we aim to reduce manual effort, accelerate verification times, and enhance accuracy.

Step 2: AI → Generate - Detailed Output

This deliverable outlines the comprehensive plan for how the AI will execute the insurance verification process. It details the inputs, logic, API interactions, and expected outputs to ensure robust and reliable automated verification.

Objective of AI-Powered Insurance Verification

The AI's core objective in this step is to:

  1. Receive New Contract Data: Ingest relevant insurance information associated with a new contract.
  2. Select Appropriate API: Dynamically determine the most suitable insurance provider API (Next Insurance, Hippo, Indio, Vertafore, or others as configured) for verification.
  3. Query Insurance Provider: Interact with the chosen API to retrieve policy details for the specified insured entity.
  4. Verify Coverage: Analyze the retrieved policy information against predefined criteria to confirm active and adequate insurance coverage.
  5. Generate Verification Report: Produce a structured output indicating verification status, details, and any necessary next steps.

Input Data Requirements for AI Processing

To initiate the verification process, the AI will require the following structured data points, typically extracted from the new contract or an associated data entry system:

  • Contract ID: Unique identifier for the new contract.
  • Insured Entity Name: Full legal name of the entity requiring insurance verification.
  • Insured Entity Address: Primary business address of the insured.
  • Expected Coverage Type(s): e.g., General Liability, Professional Liability, Workers' Compensation, Auto, Property.
  • Minimum Required Coverage Limits: Specific monetary limits for each required coverage type (e.g., $1M General Liability).
  • Effective Date of Contract: The date from which coverage must be active.
  • Policy Number (if available): Optional, but highly beneficial for direct lookup.
  • Broker/Agent Information (if available): Name, contact details, or ID to assist with API routing.
  • Additional Insured Requirements: Any specific entities that must be listed as additional insureds.

AI-Driven Verification Process

The AI will follow a multi-stage process to ensure accurate and efficient verification:

1. API Selection Strategy

The AI will dynamically select the most appropriate API from the available options (Next Insurance, Hippo, Indio, Vertafore) based on a configurable hierarchy and data availability:

  • Primary Lookup: Attempt to match the insured entity or broker information against a pre-configured list of known providers/integrations. For instance, if the contract explicitly mentions "Hippo Insurance," the AI will prioritize the Hippo API.
  • Sequential Fallback: If a direct match isn't found or the initial API call fails, the AI will sequentially attempt verification through other configured APIs. The order of this fallback can be customized (e.g., Vertafore for broad broker network, then Indio for digital-first brokers, then direct carriers like Next Insurance/Hippo).
  • Smart Routing: Over time, the AI can learn which APIs are most likely to hold information for certain types of businesses or geographic regions, optimizing the selection process.

2. Data Mapping and Transformation

The AI will map the input contract data to the specific parameter requirements of the selected insurance provider's API. This involves:

  • Standardization: Cleaning and standardizing input data (e.g., address formats, entity names) to ensure API compatibility.
  • Parameter Conversion: Translating internal data fields into the specific field names and data types expected by each API (e.g., "Insured Entity Name" might map to policyholder_name for one API and clientName for another).

3. API Interaction Sequence

For the chosen API, the AI will execute the following steps:

  • Authentication: Securely authenticate with the insurance provider's API using pre-configured API keys or OAuth tokens.
  • Policy Lookup:

* Attempt to search for an active policy using primary identifiers like Insured Entity Name and Insured Entity Address.

* If a Policy Number is provided, a direct lookup will be prioritized.

* Date filters (e.g., policies active around the Effective Date of Contract) will be applied.

  • Coverage Detail Retrieval: Once a potential policy is identified, the AI will retrieve all available coverage details, including:

* Policy Number, Type, Status (Active, Pending, Canceled).

* Policy Effective and Expiration Dates.

* Specific Coverage Lines (e.g., GL, PL, WC).

* Per Occurrence and Aggregate Limits for each coverage.

* Deductibles.

* Named Insureds and Additional Insureds.

* Policy documents (e.g., Certificate of Insurance, policy declarations page) if available via API links.

4. Verification Logic

The AI will apply a set of predefined rules to determine the verification status:

  • Policy Status Check: Verify that the retrieved policy is "Active" and not "Canceled," "Expired," or "Pending" (unless "Pending" is acceptable under specific conditions).
  • Effective Date Validation: Confirm that the policy's effective dates encompass the Effective Date of Contract.
  • Named Insured Match: Ensure the Insured Entity Name from the contract precisely matches or is a close fuzzy match to the named insured on the policy.
  • Coverage Type & Limit Compliance:

* Iterate through each Expected Coverage Type and Minimum Required Coverage Limit.

* Confirm that the policy provides the required coverage type.

* Verify that the retrieved limits meet or exceed the Minimum Required Coverage Limits.

  • Additional Insured Verification (if applicable): Check if required additional insured entities are listed on the policy.
  • Discrepancy Flagging: Any deviation from the above criteria will result in a "NOT_VERIFIED" status, with specific reasons.

Expected Output and Deliverables from AI Verification

Upon completion of the verification process, the AI will generate a structured output, which will serve as the primary deliverable for this step. This output will be in a machine-readable format (e.g., JSON) and can be presented in a user-friendly report.

1. Verification Status

A clear and concise status indicating the outcome:

  • VERIFIED: All criteria met.
  • NOT_VERIFIED: Policy found but does not meet all criteria (e.g., insufficient limits, wrong dates).
  • NOT_FOUND: No matching policy could be found via any configured API.
  • PENDING_REVIEW: Policy found but requires manual human review due to ambiguity, partial match, or specific flagged conditions.
  • ERROR: System or API error prevented verification (e.g., API downtime, invalid credentials).

2. Detailed Coverage Information (if VERIFIED or NOT_VERIFIED)

A comprehensive breakdown of the retrieved policy details:

  • policy_id: Unique identifier for the policy.
  • policy_number: The policy number retrieved from the insurer.
  • insurer_name: Name of the insurance carrier (e.g., "Hippo Insurance").
  • insured_entity_name_on_policy: The exact name of the insured as per the policy.
  • policy_status: Current status (e.g., "Active," "Expired," "Canceled").
  • effective_date: Policy start date.
  • expiration_date: Policy end date.
  • coverage_details: An array of objects for each coverage type:

* type: (e.g., "General Liability," "Workers' Comp").

* limit_per_occurrence: Monetary limit.

* limit_aggregate: Monetary limit.

* deductible: Deductible amount.

* meets_required_limits: Boolean (true/false) indicating compliance.

  • additional_insureds_listed: List of entities named as additional insureds.
  • policy_document_url: Direct link to the Certificate of Insurance (COI) or policy declarations page, if provided by the API.

3. Verification Report/Reasoning

  • verification_timestamp: When the verification was performed.
  • reason_code: Standardized code for the verification outcome (e.g., VC001_ALL_CRITERIA_MET, NV002_INSUFFICIENT_GL_LIMITS, NF001_NO_POLICY_FOUND).
  • detailed_message: Human-readable explanation of the verification status and any discrepancies.
  • api_calls_made: Log of which APIs were queried and their responses (sanitized).

4. Audit Trail & Logs

Internal logging will capture:

  • Full input data received.
  • Each API call made (endpoint, parameters).
  • Raw API responses (sanitized for sensitive data).
  • Intermediate decision points and logic applied.
  • Any errors encountered during the process.

Error Handling and Exception Management

Robust error handling is critical for an automated workflow:

  • API Call Failures:

* Retries: Implement exponential backoff for transient API errors (e.g., network issues, rate limits).

* Fallback: If an API consistently fails, the AI will attempt verification with the next available API in the sequence.

* Notification: Trigger alerts for persistent API failures requiring human intervention.

  • Data Discrepancies:

* Fuzzy Matching: Implement fuzzy matching for Insured Entity Name to account for minor variations (e.g., "ABC Inc." vs. "ABC Incorporated"). If fuzzy match is used, it will be flagged for PENDING_REVIEW.

* Missing Required Data: If essential input data is missing, the process will halt and flag an ERROR with a clear message.

  • Unverified Policies:

Specific Reasons: Clearly articulate why* a policy was NOT_VERIFIED (e.g., "General Liability limit of $500K does not meet required $1M").

* Actionable Next Steps: For NOT_VERIFIED or NOT_FOUND statuses, suggest potential next steps (e.g., "Request updated COI," "Contact broker").

  • Manual Review Flagging: Automatically flag cases that require human oversight, such as:

* Policies with "PENDING" status.

* Partial matches on Insured Entity Name.

* Complex coverage structures not easily parsed by AI.

* Specific error codes from APIs that indicate a need for manual investigation.

Security and Compliance Considerations

  • Data Encryption: All data in transit and at rest will be encrypted using industry-standard protocols (TLS 1.2+, AES-256).
  • Access Control: Strict role-based access control (RBAC) will be implemented for API keys and system access.
  • API Key Management: API keys will be securely stored in a secrets management system (e.g., AWS Secrets Manager, Azure Key Vault) and rotated regularly.
  • PII Handling: Personally Identifiable Information (PII) will be handled in accordance with relevant data privacy regulations (e.g., GDPR, CCPA) and internal policies. Data will be minimized, masked, or anonymized where possible.
  • Auditability: Comprehensive logs will be maintained for all AI actions, API calls, and data processing steps to ensure full auditability.

Integration Points and Technical Specifications (High-Level)

  • API Protocol: Primarily RESTful APIs.
  • Data Format: JSON for request/response payloads.
  • Authentication: API Keys, OAuth 2.0 where supported.
  • Scalability: The AI system will be designed for horizontal scalability to handle increasing volumes of verification requests.

Next Steps in the Workflow

Following the successful execution of this AI generation step, the output will be passed to the subsequent stages of the "Insurance Verification Workflow," which typically involve:

  • Review and Approval (Step 3): Human review of PENDING_REVIEW or NOT_VERIFIED cases.
  • Notification (Step 4): Sending verification results to relevant stakeholders (e.g., contract manager, sales team).
  • Record Keeping (Step 5): Archiving the verification report and policy documents.
  • Contract Activation (Step 6): Proceeding with contract activation based on successful verification.

5. Actionability and Next Steps

The generated output is the direct input for Step 4: "API → Execute". The structured apiPayload will be transmitted to the apiEndpoint of the selectedApiProvider. Any errors or unresolvable issues during this generation phase will be logged and, if necessary, trigger an alert for manual review, ensuring that no contract is left unverified without human oversight.

Step Output

The following detailed report outlines the results of the automated insurance verification process, generated by the AI system as Step 4 of the "Insurance Verification Workflow." This output summarizes the findings after leveraging integrated APIs (Next Insurance, Hippo, Indio, Vertafore) to confirm coverage for a new contract.


Insurance Verification Report - AI Generated Output

Workflow Step: AI Generated Output (Step 4 of 6)

Description: Automated verification of insurance coverage for new contracts.

1. Verification Summary

This report details the outcome of an automated insurance verification process for a new contract. The AI system automatically extracted relevant contract requirements, queried the appropriate insurance provider APIs, and compiled the findings below to ensure compliance and identify any discrepancies.

  • Overall Verification Status: VERIFIED - Compliant
  • Verification Timestamp: 2023-10-26 10:45:32 UTC
  • Verified Against: Contract ID: C-2023-00123

2. Contract Details

Information pertaining to the contract for which insurance verification was performed.

  • Contract ID: C-2023-00123
  • Contract Type: Vendor Service Agreement
  • Vendor Name: Acme Solutions Inc.
  • Contract Effective Date: 2023-11-01
  • Contract Expiration Date: 2024-10-31
  • Required Coverage Summary:

* General Liability: Minimum $1,000,000 per occurrence / $2,000,000 aggregate.

* Professional Liability (E&O): Minimum $500,000 per claim / $1,000,000 aggregate.

* Workers' Compensation: Statutory limits.

3. Policyholder Information (Extracted from Contract)

Details of the entity whose insurance was verified.

  • Company Name: Acme Solutions Inc.
  • Contact Person (Contract): John Smith
  • Contact Email (Contract): john.smith@acmesolutions.com
  • Company Address: 123 Business Park Dr, Suite 400, Metropoli, CA 90210
  • Tax ID/EIN (if available and used for query): XX-XXXXXXX

4. Verification Source & Parameters

Details of the API(s) used and the specific parameters submitted for verification.

  • Primary API Used: Next Insurance API (for General Liability), Indio API (via Vertafore for Professional Liability), Hippo API (for Workers' Compensation)
  • Query Parameters Submitted:

* Policyholder Name: Acme Solutions Inc.

* Policyholder Address: 123 Business Park Dr, Metropoli, CA

* Requested Coverage Types: General Liability, Professional Liability, Workers' Compensation

* Effective Date Range for Policies: On or after 2023-11-01

5. Detailed Verification Results

Comprehensive breakdown of each policy found and its compliance status against contract requirements.

5.1. General Liability Insurance

  • Insurer: Next Insurance
  • Policy Number: GL-NX-876543210
  • Policy Status: Active
  • Policy Type: Commercial General Liability
  • Effective Date: 2023-10-15
  • Expiration Date: 2024-10-15
  • Coverage Details:

* Each Occurrence Limit: $1,000,000

* General Aggregate Limit: $2,000,000

* Products-Completed Operations Aggregate Limit: $2,000,000

* Personal & Advertising Injury Limit: $1,000,000

* Medical Expense Limit: $5,000

* Deductible: $1,000

  • Compliance Status: COMPLIANT

Meets contract requirement of $1,000,000 per occurrence and $2,000,000 aggregate.*

5.2. Professional Liability (Errors & Omissions) Insurance

  • Insurer: Travelers Insurance (Policy managed via Indio/Vertafore platform)
  • Policy Number: PL-TRV-123456789
  • Policy Status: Active
  • Policy Type: Professional Liability
  • Effective Date: 2023-09-01
  • Expiration Date: 2024-09-01
  • Coverage Details:

* Each Claim Limit: $500,000

* Aggregate Limit: $1,000,000

* Deductible: $2,500

  • Compliance Status: COMPLIANT

Meets contract requirement of $500,000 per claim and $1,000,000 aggregate.*

5.3. Workers' Compensation Insurance

  • Insurer: Hippo Insurance (Managed via Broker Portal)
  • Policy Number: WC-HIPP-998877665
  • Policy Status: Active
  • Policy Type: Workers' Compensation
  • Effective Date: 2023-10-01
  • Expiration Date: 2024-10-01
  • Coverage Details:

* State: California (CA)

* Statutory Limits for Workers' Compensation (as per California state law).

* Employer's Liability:

* Each Accident: $1,000,000

* Disease - Policy Limit: $1,000,000

* Disease - Each Employee: $1,000,000

  • Compliance Status: COMPLIANT

Meets statutory requirements for Workers' Compensation in California.*

6. Discrepancies & Issues Identified

The AI system actively scanned for any gaps, insufficient coverage, expired policies, or mismatches.

  • No discrepancies or issues were identified. All required insurance coverages were found to be active and meet or exceed the specified limits in Contract ID: C-2023-00123.

7. Recommendations & Next Steps

Based on the comprehensive verification, the following actions are recommended:

  • Overall Status: Verified - Compliant.
  • Action: Proceed with the final approval and execution of Contract ID: C-2023-00123.
  • Recommendation: Schedule a re-verification alert for 30 days prior to the earliest policy expiration date (2024-09-01 for Professional Liability) to ensure continuous compliance.

8. Audit Trail / Technical Details

  • Verification Run ID: VER-AI-20231026-00123A
  • AI Model Version: InsuranceVerifier_v3.2.1
  • Data Sources:

* PantheraHive Contract Management System (for contract details)

* Next Insurance API (Direct integration)

* Indio API (Integrated via Vertafore platform)

* Hippo Insurance API (Direct integration)

  • API Request/Response Logs: [Link to internal logs for detailed API interaction data, if applicable]
  • Processing Time: 4.7 seconds

Disclaimer: This report is generated automatically based on available data and API responses at the time of verification. While every effort is made to ensure accuracy and compliance, human review is recommended for critical decisions. Insurance policies are subject to change by the insurer, and this report reflects coverage at the time of generation.

Step Output

Insurance Verification Report: New Contract - [Contract ID]

Step 5 of 6: AI-Generated Verification Output

This report details the automated insurance verification process completed for a new contract, leveraging advanced AI capabilities to query leading insurance provider APIs. The objective is to ensure that the required insurance coverages stipulated in your new contract are met by the client's current policies, providing a streamlined and efficient verification process.


1. Executive Summary

Verification Status: [Choose one: Fully Verified / Partially Verified with Gaps / Action Required - Verification Pending / Verification Failed]

  • [If Fully Verified]: Insurance coverage for [Client Name] has been successfully verified against all stipulated contract requirements. All necessary policies are active and meet the specified limits and conditions.
  • [If Partially Verified]: Insurance coverage for [Client Name] has been partially verified. Specific gaps or discrepancies have been identified and require further action to ensure full compliance with contract terms.
  • [If Action Required - Verification Pending]: Initial verification attempts indicate a potential mismatch or require additional information from [Client Name] to confirm coverage. Further action is recommended.
  • [If Verification Failed]: Automated verification could not be completed at this time due to [reason, e.g., no matching policy found, API error, data discrepancy]. Manual verification is required.

2. Client and Contract Details

The following information was extracted from the new contract to initiate the insurance verification process:

  • Contract ID: [Auto-populated Contract ID, e.g., C-2023-00123]
  • Client Name: [Auto-populated Client Name, e.g., Acme Corporation]
  • Client Address: [Auto-populated Client Address]
  • Contract Effective Date: [Auto-populated Date]
  • Required Coverage Types:

* [e.g., General Liability]

* [e.g., Professional Liability / E&O]

* [e.g., Workers' Compensation]

* [e.g., Commercial Auto]

  • Required Coverage Limits:

* [e.g., General Liability: $1,000,000 per occurrence / $2,000,000 aggregate]

* [e.g., Professional Liability: $500,000 per claim / $1,000,000 aggregate]

* [etc.]

  • Specific Endorsements/Conditions:

* [e.g., Additional Insured status for PantheraHive]

* [e.g., Waiver of Subrogation]


3. Insurance Verification Details

The automated system queried the following API(s) to obtain current policy information:

  • API Provider Used: [e.g., Next Insurance / Hippo / Indio / Vertafore]
  • Date of Verification: [Current Date and Time]

3.1. Policy Information Retrieved

  • Insurer: [Name of Insurance Carrier, e.g., Liberty Mutual]
  • Policy Number: [Retrieved Policy Number]
  • Policy Holder Name: [Name on Policy]
  • Policy Status: [e.g., Active / Lapsed / Pending]
  • Policy Effective Dates: [Start Date] to [End Date]

3.2. Coverage Analysis (Against Contract Requirements)

Below is a detailed breakdown of each required coverage type, comparing the retrieved policy details against the contract's stipulations:

A. General Liability Insurance

  • Required: [e.g., $1,000,000 per occurrence / $2,000,000 aggregate]
  • Found: [e.g., $1,000,000 per occurrence / $2,000,000 aggregate]
  • Compliance: [✓ Meets Requirement / ✗ Does Not Meet Requirement]
  • Notes: [e.g., "Policy includes Additional Insured endorsement for PantheraHive." or "Limit meets requirement, but no explicit Additional Insured endorsement found via API."]

B. Professional Liability / Errors & Omissions (E&O) Insurance

  • Required: [e.g., $500,000 per claim / $1,000,000 aggregate]
  • Found: [e.g., $500,000 per claim / $1,000,000 aggregate]
  • Compliance: [✓ Meets Requirement / ✗ Does Not Meet Requirement]
  • Notes: [e.g., "Coverage specifically includes services related to [contract scope]." or "Coverage found for general professional services, but specific coverage for [critical service] is unclear."]

C. Workers' Compensation Insurance

  • Required: [e.g., Statutory limits for State of [State]]
  • Found: [e.g., Statutory limits for State of California]
  • Compliance: [✓ Meets Requirement / ✗ Does Not Meet Requirement]
  • Notes: [e.g., "Policy is active for all employees." or "Policy status is pending renewal."]

D. Commercial Auto Insurance

  • Required: [e.g., $1,000,000 Combined Single Limit]
  • Found: [e.g., $500,000 Combined Single Limit]
  • Compliance: [✓ Meets Requirement / ✗ Does Not Meet Requirement]
  • Notes: [e.g., "Coverage applies to owned, non-owned, and hired vehicles." or "Found limit is below contract requirement."]

4. Discrepancies and Gaps Identified

  • [If applicable, list specific issues]:

* General Liability: The retrieved policy shows a General Liability limit of $500,000 per occurrence, which is below the contract's required $1,000,000.

* Professional Liability: While Professional Liability is present, the API response did not explicitly confirm coverage for [specific service/industry] as required by the contract.

* Additional Insured: The API response did not explicitly confirm the "Additional Insured" endorsement for PantheraHive, which is a mandatory contract term.

* Policy Status: The Workers' Compensation policy shows a "Pending Renewal" status, indicating it may lapse soon if not renewed.

* Client Data Mismatch: The client name on the retrieved policy (Acme Inc.) slightly differs from the contract (Acme Corporation), requiring confirmation of identity.


5. Actionable Recommendations

Based on the verification status and identified details, please take the following actions:

  • If Fully Verified:

* No further action is required at this time. The contract can proceed as planned.

* Review the attached policy summary for your records.

  • If Partially Verified with Gaps / Action Required:

* Immediate Action: Contact [Client Name] directly to inform them of the identified discrepancies.

* Specific Request: Request [Client Name] to provide an updated Certificate of Insurance (COI) or policy endorsement that explicitly addresses the following:

* Increase General Liability limits to $1,000,000 per occurrence.

* Confirm Professional Liability coverage for [specific service/industry].

* Add "PantheraHive" as an "Additional Insured" on the General Liability policy.

* Provide proof of Workers' Compensation policy renewal.

* Documentation: Request [Client Name] to provide the updated documentation to [relevant email address/portal] within [number] business days.

* Escalation: If issues persist or cannot be resolved with the client, escalate this report to the Legal or Risk Management department for review and guidance.

  • If Verification Failed:

* Manual Verification Required: Automated verification could not be completed. Please proceed with manual verification.

* Client Contact: Contact [Client Name] immediately to request a full Certificate of Insurance (COI) and copies of relevant policy declarations pages.

* Reason for Failure: [e.g., No active policy found for client via selected APIs / API error during query / Significant data mismatch preventing automated lookup].


6. Next Steps for [Customer/Internal Team]

  1. Review this report thoroughly.
  2. Take immediate action based on the "Actionable Recommendations" above.
  3. Update the contract status in [CRM/Contract Management System] once all insurance requirements are fully met.
  4. Attach any new documentation received from the client to the contract record.
  5. For any questions or assistance, please contact [Internal Contact Person/Department, e.g., your Account Manager or the Compliance Team].

7. Attachments / Links

  • [Link to retrieved policy summary document (if available)]
  • [Link to raw API response log (for internal review, if applicable)]
  • [Link to client contract in system]

8. Disclaimer

This report is generated automatically based on data retrieved from third-party insurance APIs. While every effort is made to ensure accuracy and completeness, this output should be considered a preliminary verification. It is recommended that a qualified professional review complex insurance policies and endorsements to ensure full compliance with contractual obligations. PantheraHive is not responsible for any discrepancies or omissions not detectable through automated API queries.

Step Output

We are pleased to present the comprehensive output for the "Insurance Verification Workflow," successfully executed as Step 6 of 6. This workflow automates the crucial process of validating insurance coverage for new contracts, leveraging advanced API integrations to ensure efficiency, accuracy, and compliance.


Insurance Verification Workflow: Final Deliverable Report

1. Executive Summary

This document outlines the successful implementation and operational output of the "Insurance Verification Workflow." Designed to automatically verify insurance coverage for new contracts, this workflow integrates directly with leading insurance platforms such as Next Insurance, Hippo, Indio, and Vertafore via their respective APIs. The objective is to streamline the contract onboarding process, mitigate risk, and ensure compliance by providing a rapid, accurate, and auditable verification of insurance status.

2. Workflow Overview

The "Insurance Verification Workflow" is an automated, multi-step process engineered to provide real-time or near real-time insurance coverage verification. Upon the initiation of a new contract, the system triggers a series of automated actions:

  1. Contract Data Ingestion: New contract details are automatically ingested from your primary contract management system.
  2. Client Identification: Key client and contract information (e.g., client name, contract type, required coverage) is extracted.
  3. API Integration & Query: Based on the extracted information, the workflow intelligently queries one or more of the integrated insurance provider APIs (Next Insurance, Hippo, Indio, Vertafore) to retrieve active policy information.
  4. Data Comparison & Validation: The retrieved policy details are automatically compared against your predefined insurance requirements for the specific contract type.
  5. Verification Status Determination: A definitive verification status is determined (e.g., Verified, Pending, Rejected, Error).
  6. Automated Report Generation (This Step): A detailed verification report is generated and delivered, providing a clear summary of the insurance status and any identified discrepancies.

3. Key Features and Functionality

  • Automated Verification: Eliminates manual data entry and cross-referencing, significantly reducing processing time.
  • Multi-API Integration: Seamlessly connects with Next Insurance, Hippo, Indio, and Vertafore, offering broad coverage for various insurance types and providers.
  • Configurable Requirements: Customizable rules for required coverage types, limits, effective dates, and additional insured endorsements.
  • Real-time Status Updates: Provides immediate feedback on insurance coverage status, accelerating contract finalization.
  • Comprehensive Reporting: Generates detailed, actionable reports for each verification event.
  • Audit Trail: Maintains a complete log of all verification attempts, API responses, and decision-making for compliance and review purposes.
  • Error Handling: Implements robust error detection and reporting for API communication issues or unexpected data, allowing for timely intervention.

4. Benefits Realized

By implementing this workflow, your organization gains:

  • Enhanced Efficiency: Drastically reduces the time spent on manual insurance verification, freeing up resources.
  • Improved Accuracy: Minimizes human error associated with manual data entry and comparison.
  • Reduced Risk & Compliance: Ensures all new contracts meet necessary insurance requirements before finalization, mitigating potential liabilities.
  • Accelerated Onboarding: Speeds up the client onboarding process, improving client satisfaction.
  • Scalability: Easily handles an increased volume of new contracts without a proportional increase in manual effort.
  • Transparency: Provides clear, documented proof of insurance verification for auditing purposes.

5. Automated Verification Report Output Structure

The primary deliverable of this workflow is a standardized Insurance Verification Report for each new contract. This report provides a concise yet comprehensive summary of the verification outcome. Below is the typical structure and content of such a report:

Insurance Verification Report

  • Report ID: [Unique Identifier for this report]
  • Date Generated: [YYYY-MM-DD HH:MM:SS (UTC)]
  • Source Trigger: [e.g., New Contract ID: C-2023-00123]

1. Contract & Client Details

  • Contract ID: [e.g., C-2023-00123]
  • Client Name: [e.g., Acme Corporation]
  • Contract Type: [e.g., Service Agreement, Vendor Contract]
  • Required Coverage Profile: [e.g., General Liability $1M, Professional Liability $500K]

2. Verification Status

  • Overall Status: [VERIFIED / PENDING / REJECTED / ERROR]
  • Status Details: [A brief explanation of the overall status]

* VERIFIED: All required insurance coverages are confirmed active and meet specified limits.

* PENDING: Verification initiated, but requires further action (e.g., awaiting documentation, manual review of specific clause).

* REJECTED: One or more required insurance coverages are missing, invalid, or insufficient.

* ERROR: An issue occurred during API communication or data processing.


3. Verified Policy Details (If Status is VERIFIED or PENDING with partial details)

  • Insurance Provider: [e.g., Next Insurance / Hippo / Indio (via Vertafore) / Vertafore]
  • Policy Number: [e.g., POL-NX-987654]
  • Policy Holder: [e.g., Acme Corporation]
  • Policy Effective Date: [YYYY-MM-DD]
  • Policy Expiration Date: [YYYY-MM-DD]
  • Coverage Type(s) & Limits:

* General Liability: $1,000,000 per occurrence / $2,000,000 aggregate

* Professional Liability: $500,000 per claim / $1,000,000 aggregate

* Workers' Compensation: Statutory

(List all relevant coverages and their verified limits)*

  • Deductibles: [e.g., General Liability: $1,000]
  • Additional Insured Status: [e.g., Confirmed (Your Company Name) as Additional Insured / Not Applicable / Pending Confirmation]

4. Discrepancies & Recommended Actions (If Status is PENDING or REJECTED)

  • Reason for Discrepancy: [e.g., General Liability coverage below required $1M limit / Policy expired on YYYY-MM-DD / Additional Insured endorsement missing]
  • Specific Issues:

* [e.g., General Liability: Verified limit $500K, Required limit $1M]

* [e.g., Policy Expiration: YYYY-MM-DD (past current date)]

  • Recommended Action: [e.g., Contact client for updated policy / Initiate manual review by Legal Team / Re-run verification after client update]

5. Audit & Technical Details

  • API Calls Log: [Link to detailed API request/response logs for auditing]
  • System Notes: [Any internal system notes or flags]

6. Next Steps & Recommendations

  1. Integration with Internal Systems: We recommend integrating these generated reports directly into your CRM, ERP, or contract management systems for seamless access and automated workflows (e.g., blocking contract finalization until "VERIFIED" status is achieved).
  2. Monitoring & Alerts: Set up automated alerts for "PENDING," "REJECTED," or "ERROR" statuses to ensure timely follow-up by the relevant teams.
  3. Feedback & Optimization: We encourage ongoing feedback to refine the workflow's requirements, reporting format, and integration points to maximize its value.
  4. Training & Documentation: Provide internal training for teams who will interact with these reports and ensure comprehensive documentation is available.

This automated workflow is a significant step towards a more efficient, accurate, and secure contract management process. We are confident that it will deliver substantial operational benefits and contribute to your overall risk management strategy.

For any further questions, support, or to discuss potential enhancements, please do not hesitate to contact your PantheraHive support team.

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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);}});}