A system and method for forms automation and compliance

Abstract

A method is disclosed that may include receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters, processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The method may include extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine and comparing extracted text to a structured compliance database. Also, the method may include generating a compliance checklist using an Automated Workflow & Document Processing System (AWDPS). Further, the method may include verifying form compliance through a machine-learning-driven compliance decision engine and modifying form content using a Compliance Review and Form Generation Module (CRFGM). The method may include securing regulatory submission using a Secure Regulatory Filing Interface (SRFI). Moreover, the method may include tracking submission changes with a blockchain-based audit ledger. Also, the method may include submitting a finalized compliance forms to a regulatory authority via an API integration.

Description

A SYSTEM AND METHOD FOR FORMS AUTOMATION AND COMPLIANCECross Reference to Related Applications

[0001] This application claims the benefit of United States Provisional Patent Application Serial No. 63 / 560,819 having a filing date of 04 March 2024.BACKGROUND OF THE DISCLOSUREField of the Disclosure

[0002] The present disclosure relates to the automation of forms compliance and filing for regulatory approval, particularly in industries where policy form requirements vary across jurisdictions, such as insurance. More specifically, the disclosure pertains to software that automates form development, compliance review, filing, and the generation of statespecific forms, leveraging machine learning and crowdsourcing techniques to enhance precision and efficiency.Description of the Related Art

[0003] Current systems for forms compliance are largely manual and disjointed, requiring the collaboration of professionals with deep knowledge of regulatory requirements across multiple jurisdictions. Such systems are inefficient, error-prone, and difficult to scale. Existing solutions primarily rely on manual compliance reviews, repetitive decisionmaking processes, and individual expertise. These shortcomings limit the speed and accuracy of form development and filing, leading to increased costs and delays in product launches.

[0004] The disclosure seeks to address these issues by automating compliance reviews, form development, and state-specific form generation. The software offers peer-reviewed workflows, automated decision-making based on form requirements, and integration with regulatory filing systems such as System for Electronic Rate and Form Filing (SERFF). This automation aims to reduce human error, decrease time-to-market, and enhance consistency in form language across jurisdictions.SUMMARY OF THE DISCLOSURE

[0005] A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to perform the actions. One or more computer programs can be configured to perform particular operations or actions by virtue of including instructions that, when executed by data processing apparatus, cause the apparatus to perform the actions.

[0006] In one general aspect, a computer - implemented method may include receiving user input specifying regulatory jurisdictions and compliance parameters. The computer - implemented method may also include retrieving compliance requirements from a forms compliance database. The method may furthermore include analyzing form content using a machine learning model to identify regulatory compliance gaps. The method may in addition include generating compliance recommendations based on retrieved compliance requirements. The method may moreover include automatically applying compliance recommendations to form content to produce a modified form. The method may also include performing a peer-review verification of a content of the modified form. The method may furthermore include generating a compliance checklist summarizing modifications. The method may in addition include formatting the modified forms for submission to a regulatory body. The method may moreover include submitting the forms through an electronic regulatory filing system. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

[0007] Implementations may include one or more of the following features. The method where the forms compliance database is updated in real-time based on regulatory changes. The method where the machine learning model is trained using historical compliance decisions and user feedback. The method where the compliance checklist includes a redlining feature that highlights modified text sections. The method where the peer-review verification includes an integrated chat function for collaborative discussion. The method may include generating state-specific compliance checklists. The method may include detecting regulatory inconsistencies across multiple jurisdictions. Themethod may include integrating with a third-party document management system. The method where compliance recommendations include pre-approved regulatory language templates. The method where the electronic regulatory filing system is integrated with a The system for Electronic Rate and Form Filing (SERFF). Implementations of the described techniques may include hardware, a method or process, or a computer tangible medium.

[0008] In one general aspect, the method may include receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters. The method may also include processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The method may furthermore include extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine. The method may in addition include comparing extracted text to a structured compliance database. The method may moreover include generating a compliance checklist using an Automated Workflow & Document Processing The system (AWDPS). The method may also include verifying form compliance through a machine-learning- driven compliance decision engine. The method may furthermore include modifying form content using a Compliance Review and Form Generation Module (CRFGM). The method may in addition include securing regulatory submission using a Secure Regulatory Filing Interface (SRFI). The method may moreover include tracking submission changes with a blockchain-based audit ledger. The method may also include submitting a finalized compliance forms to a regulatory authority via an API integration. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

[0009] Implementations may include one or more of the following features. The method where the Forms Compliance Processing Unit (FCPU) includes dedicated compliance processing hardware for real-time regulatory analysis. The method where the iOCR engine uses a Field Programmable Gate Array (FPGA) module for high-speed compliance text extraction. The method where the compliance checklist is dynamically updated based on jurisdictional changes stored in a compliance database. The methodwhere the machine-learning-driven compliance decision engine is distributed across multiple edge computing nodes. The method where the Secure Regulatory Filing Interface (SRFI) encrypts submissions using quantum-safe cryptographic protocols. The method where the blockchain-based audit ledger provides an immutable record of all compliance-related modifications. The method where the system includes biometric authentication for secure user access to compliance workflows. The method where the Compliance Review and Form Generation Module (CRFGM) incorporates natural language processing (NLP) techniques for compliance text optimization. The method where the regulatory authority facilitates bidirectional data exchange between regulatory agencies and compliance systems. Implementations of the described techniques may include hardware, a method or process, or a computer tangible medium.

[0010] In one general aspect, a system may include one or more processors configured to receive user input specifying regulatory jurisdictions and compliance parameters. The system may furthermore include retrieve compliance requirements from a forms compliance database. The system may in addition include analyze form content using a machine learning model to identify regulatory compliance gaps. The system may moreover include generate compliance recommendations based on retrieved compliance requirements. The system may also include automatically apply compliance recommendations to form content to produce a modified form. The system may furthermore include perform a peer-review verification of a content of the modified form. The system may in addition include generate a compliance checklist summarizing modifications. The system may moreover include format the modified forms for submission to a regulatory body. The system may also include submit the forms through an electronic regulatory filing system. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

[0011] Implementations may include one or more of the following features. The system where the forms compliance database is updated in real-time based on regulatory changes. The system where the machine learning model is trained using historicalcompliance decisions and user feedback. The system where the compliance checklist includes a redlining feature that highlights modified text sections. The system where the peer-review verification includes an integrated chat function for collaborative discussion. The system where the one or more processors are further configured to: generate statespecific compliance checklists. The system where the one or more processors are further configured to: detect regulatory inconsistencies include across multiple jurisdictions. The system where the one or more processors are further configured to: integrate with a third- party document management system. The system where compliance recommendations include pre-approved regulatory language templates. The system where the electronic regulatory filing system is integrated with a The system for Electronic Rate and Form Filing (SERFF). Implementations of the described techniques may include hardware, a method or process, or a computer tangible medium.

[0012] In one general aspect, the system may include one or more processors configured to receive, via a secure regulatory compliance interface, form content and jurisdictional parameters. The system may furthermore include process form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules. The system may in addition include extract compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine. The system may moreover include comparing extracted text to a structured compliance database. The system may also include a compliance checklist using an Automated Workflow & Document Processing The system (AWDPS). The system may furthermore include verify form compliance through a machine-learning-driven compliance decision engine. The system may in addition include modify form content using a Compliance Review and Form Generation Module (CRFGM). The system may moreover include secure regulatory submission using a Secure Regulatory Filing Interface (SRFI). The system may also include track submission changes with a blockchain-based audit ledger. The system may furthermore include submitting a finalized compliance forms to a regulatory authority via an API integration. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

[0013] Implementations may include one or more of the following features. The system where the Forms Compliance Processing Unit (FCPU) includes dedicated compliance processing hardware for real-time regulatory analysis. The system where the iOCR engine uses a Field Programmable Gate Array (FPGA) module for high-speed compliance text extraction. The system where the compliance checklist is dynamically updated based on jurisdictional changes stored in a compliance database. The system where the machine-learning-driven compliance decision engine is distributed across multiple edge computing nodes. The system where the Secure Regulatory Filing Interface (SRFI) encrypts submissions using quantum-safe cryptographic protocols. The system where the blockchain-based audit ledger provides an immutable record of all compliance- related modifications. The system where the system includes biometric authentication for secure user access to compliance workflows. The system where the Compliance Review and Form Generation Module (CRFGM) incorporates natural language processing (NLP) techniques for compliance text optimization. The system where the regulatory authority facilitates bidirectional data exchange between regulatory agencies and compliance systems. Implementations of the described techniques may include hardware, a method or process, or a computer tangible medium.BRIEF DESCRIPTION OF THE DRAWINGS

[0014] So that the manner in which the above-recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only typical embodiments of this invention and are therefore not to be considered limiting of its scope, for the invention may admit to other equally effective embodiments.

[0015] Figure 1 is a flow chart of the overall process of a system for the automation of forms compliance and filing for regulatory approval in accordance with the present disclosure;

[0016] Figure 2 is an example Forms Compliance Database (FCD) in accordance with the present disclosure;

[0017] Figure 3 is an example of a State Checklist in accordance with the present disclosure;

[0018] Figure 4 is an example of a form in accordance with the present disclosure;

[0019] Figure 5 is an example of Master Checklist questions for the selected Topic in accordance with the present disclosure;

[0020] Figure 6 is a state specific form showing the relationship between Form Requirements and redlined changes in accordance with the present disclosure;

[0021] Figure 7 is a flow chart of the filing setup and objection process in accordance with the present disclosure;

[0022] Figure 8 is an example sample forms list showing the required fields in SERFF for various form details in accordance with the present disclosure; and

[0023] Figure 9 is a flow chart of an example system overview in accordance with the present disclosure.DETAILED DESCRIPTION OF THE DISCLOSUREOverview

[0024] In the following detailed description of the embodiments, reference is made to the accompanying drawings, which form a part hereof, and within which are shown by way of illustration specific embodiments by which the examples described herein may be practiced. It is to be understood that other embodiments may be utilized and structural changes may be made without departing from the scope of the disclosure.

[0025] The disclosure comprises a Forms Automation Software that automates the compliance review and filing process for various industries. The software houses a Forms Compliance Database (FCD), which stores all form requirements for different states and lines of business, enabling automated keyword searches, decision-making, and generation of state-specific forms.

[0026] Key features of the disclosure include:1 . Project Setup and Compliance Reviews: Users initiate projects by defining jurisdictional and form requirements. Compliance reviews are automated based on predefined form requirements stored in the FCD.2. Master and State-Specific Checklists: The software generates checklists based on form requirements for each jurisdiction. These checklists help users ensure compliance with regulatory standards.3. Automated Form Development: The software generates state-specific forms by revising countrywide forms to meet jurisdictional requirements.4. SERFF Integration: The software integrates with the SERFF system to automate the filing process with state departments of insurance (DOIs), ensuring thatforms and transmittals are synchronized with compliance data.5. Machine Learning: The software uses training data from peer-reviewed workflows to continuously improve its ability to automate compliance decisions.6. User Override and Peer Review: Users can override automatic decisions or request peer reviews to address subjective or complex compliance topics.7. Crowdsourcing Knowledge: The software gathers and updates industry knowledge, ensuring it remains the most current and comprehensive forms compliance tool available.

[0027] With reference to FIG. 1 , the present disclosure is comprehensive forms automation software designed to streamline the process of regulatory compliance, form development, review, and submission across multiple regulatory jurisdictions for regulatory compliance form processing. It introduces several unique components and processes that simplify and automate compliance tasks, making them more efficient and less reliant on individual expertise for identifying and rectifying regulatory compliance gaps regulatory inconsistencies. The software primarily serves industries such as insurance, healthcare, and finance, where complex regulatory frameworks require consistent updates and adherence to jurisdiction-specific requirements.

[0028] This disclosure significantly enhances efficiency by utilizing machine learning (ML) and artificial intelligence (Al) to automate decision-making processes based on preconfigured compliance requirements. The machine learning model of ML can be trained using historical compliance decisions. It integrates several components that work together to provide users with a seamless workflow, from the initial project setup to the submission of finalized forms to regulatory authorities.Forms Compliance Database (FCD)

[0029] Referring to FIG. 2, there is shown an example of a Forms Compliance Database (FCD) for one selected Topic ("Termination - Nonrenewal"), showing the relationship between "Form Requirements" and state laws. The core of the software is the FCD, which houses all relevant compliance data and compliance parameters, including statutes, regulations, bulletins, and Department of Insurance (DOI) positions across multiple jurisdictions. This database consolidates these scattered sources into a centralized repository, making it easier to retrieve and apply relevant information during compliance reviews and form development.

[0030] Each form requirement in the FCD is defined narrowly by topic, which allows for maximum search capability and facilitates automated reviews. The FCD also contains links between form requirements and their corresponding regulatory citations, thereby enabling the software to provide automated compliance recommendations on form compliance.

[0031] Additionally, the FCD offers the following advanced features for premium users:• Sample Language: The software provides example text demonstrating how regulatory requirements should be incorporated into policy language.• Sample Forms: Common statutory or regulatory forms, such as DOI contact notices, are available for users to customize and incorporate into their projects.Customizable Topics: Users can add their own compliance topics and requirements to the FCD, enabling the software to address their unique needs.Project Setup and Workflow Initialization

[0032] The workflow begins when a user logs into the software portal using secure user access and sets up a new project. The project setup process includes the following steps:• Project Details: Users input project-specific information such as the states involved, lines of business (LOBs), client contacts, and pricing information. This data helps configure the workflow.• Assignment of Peer Review Structure: The peer review process is automatically assigned, with different structures for internal and external projects. The peer review structure may vary by state, form, or topic and can be modified as needed.• Form Upload: Users upload countrywide forms, which the software automatically converts to PDFs. These forms are stored in a list that mirrors the System for Electronic Rate and Form Filing (SERFF) Form Filing Schedule Template, facilitating regulatory submissions.• Form Naming and Numbering: A consistent naming and numbering system is applied to state-specific forms, ensuring proper identification and filing.• State Amendatory Endorsement Templates: The software allows the user to create state-specific templates to account for differences in regulatory requirements across jurisdictions.• Billing Integration: The software can be linked to a billing system, allowing users to track project progress against the allocated budget, improving financial oversight.Compliance Reviews and Master Checklist

[0033] Referring now to FIG. 5, there is shown an example of a Master Checklist questionnaire for the selected Topic. One of the key features of the disclosure is the Master Checklist, which serves as the foundation for the automated compliance reviewprocess. This checklist is designed to capture all overlapping form requirements across all U.S. jurisdictions for the specific LOB involved. Each question in the checklist is mapped to a form requirement and its associated regulatory citations in the FCD.• Review Types: Users can select between a “Standard Review” (which covers all form requirements, as disclosed herein below) or a “Selected Topics Only” review (which focuses on specific topics, such as application requirements).• Automated Search and Readability Testing: To complete the checklist, users can run automated searches for specific keywords or phrases within forms. The software also checks forms for readability issues and mandatory warnings (e.g., fraud warnings).• Form and Language Tagging: As users answer questions in the checklist, the software tags the relevant forms and language sets to the corresponding compliance topics and form requirements.• Peer Review Process: All checklist responses are reviewed by a peer, who can approve, reject, or place responses on hold. The system includes a built-in integrated chat function for users to discuss items that need clarification in a collaborative discussion.

[0034] Once the peer review is complete, the software generates a report that highlights modified text sections, recommended form changes and potential revisions to address unique state requirements. Users may decide to apply changes across all states or create state-specific versions of forms based on these recommendations. A full list of compliance topics to be addressed by the software of the present disclosure is as follows:• Action Against the Insurer Conditions (Including Time to Bring Suit, Jurisdiction, and Venue)• After Market Parts Provisions• Anti-Stacking Provisions• Application Form Requirements (Including Required Disclosures and Permissible Questions)• Appraisal Provisions• Alternative Dispute Resolution (Permissible Language and Notice Requirements for Arbitration and Mediation Provisions)• Automobile Policies - Minimum Standards (Including Minimum Limits, Mandatory Liability and Physical Damage Coverage Provisions, Telematics Provisions, and All State-Mandated No-Fault and Uninsured / Underinsured Motorist Coverage Offerings)• Automobile Policy Identification Cards - Minimum Standards• Bankruptcy / lnsolvency Provisions• Basic Contents of Policies• Binder Provisions• Blank / Manuscript Endorsement Requirements• Choice of Law / Governing Law Provisions• Civil Unions and Domestic Partnerships• Claims-Made Policy Standards (Including all Disclosure and Extended Reporting Period Requirements)• Concurrent Causation Provisions• Conformity / State Amendatory Inconsistency Provisions• Consent to Settle Provisions• Coverage Territory Provisions• Credit Property Policy Minimum Standards• Credit Scoring Practices and Disclosure Requirements• Deductible / Self-Insured Retention Requirements (Including Hurricane / Windstorm Deductibles)• Defense Costs Reimbursement Provisions• Defense Costs Within Limits Requirements (Including Minimum Limit Thresholds and Related Disclosures)• Definitions - All Specific Words and Phrases Subject to State Regulation (e.g., “Actual Cash Value”, “Pollutant”)• Discretionary Clauses• Domestic Abuse / Innocent Co-Insured Coverage• Duty to Defend / Required Defense Provisions• Entire Contract in Policy Provisions• Examination Under Oath Provisions• Exclusions (Permissible Language, Related Disclosures, and Restrictions on Certain Types of Exclusions)• Execution of Policies (Signature Requirements)• Filing Laws Applicable to Each Type of Form• Filing Documentation Requirements (Including Certifications of Compliance, State-Specific Compliance Checklists, Filing Fees, Notices, Applications, Statements of Variability, Redlines, Domicile State Approval, Forms Lists, Form Usage Rules, Exemptions)• Financial Responsibility• Fines and Penalties / Violations of Law Coverage• First-Party Coverage Requirements• Flood Coverage - Minimum Standards• Forced Fire Policy Minimum Standards• Fraud Warnings / Notices• Group Policies / Purchasing Group Requirements (Master Policy and Certificate Provisions)• Guaranteed Auto Protection (GAP) Policies - Minimum Standards• Guaranty Fund Policy Language / Disclosure Requirements• Hired & Non-Owned Automobile Coverage Standards• Homeowners Policies - Minimum Standards (Including All State-Mandated Coverage Offerings, such as Water and Sewer Backup Coverage, Ordinance or Law Coverage, Mine Subsidence Coverage)• Important Notices (Including Department of Insurance Contact Information, Rating / Discount Disclosures, All State-Mandated Notices to Accompany the Policy)• Indemnification Provisions• Large Commercial Risks / Exempt Commercial Policies• Legal Services Insurance (Defense-Only Coverage)• Liberalization Provisions• Loss Settlement (Claims-Handling and Loss Payment Provisions)• Loss Valuation (Partial and Total Loss, Actual Cash Value, Replacement Cost, Functional Replacement Cost)• Misrepresentations (Materiality and Voiding or Rescission of Coverage, Warranty Provisions)• Mortgage / Lienholder Provisions• Mortgage Guaranty Policies - Minimum Standards• Notification of Claims Provisions (Including Notice to Agent and Knowledge of Agent Provisions)• Other Insurance Provisions• Participating Policy Provisions• Policy Fees (Including Bank NSF Fees, Installment Fees, Late Fees, Reinstatement Fees, Expense Fees)• Policy Period Provisions (Permissible Durations and Guaranteed Renewal Provisions)• Pollution (Definitions and Permissible Coverages)• Portable Electronics Policies - Minimum Standards• Pre- and Post-Judgement Interest Provisions• Premium Audit Conditions• Pri mary and Excess Coverage Provisions• Punitive or Exemplary Damage Coverage Provisions• Rate and Rule Impact of Form Changes• Readability Requirements• Rebates and Inducements• Reliance on Competitor Application Provisions• Selection / Rejection Forms (All State-Mandated Coverage Offerings)• Standard Fire Policy Requirements• Sub-Limit Provisions• Subrogation / Rights of Recovery• Surety Bonds - Minimum Standards• Surplus Lines Policy Standards (Affidavits, Disclosures, Taxes and Fees, Policy Contents)• Suspension of Coverage• Taxes and Surcharges / State-Mandated Fee Disclosures• Termination - Cancellation Provisions (Including Notice Timeframes, Permissible Reasons for Cancellation, and Premium Refund Provisions)• Termination - Fully Earned Premium Provisions• Termination - Minimum Earned Premium Provisions• Termination - Nonrenewal Provisions• Termination - Renewal Provisions• Termination - Conditional Renewal ProvisionsTermination - Notice Content RequirementsTravel Policies - Minimum StandardsUmbrella Policies - Minimum StandardsUnlicensed Company RequirementsValued Policy Minimum Standards (Stated Amount / Agreed Value Provisions) Workers Compensation Large Deductible Plans - Minimum Standards Workers Compensation Policies in General- Minimum StandardsState-Specific Compliance Review and Form Generation

[0035] Referring to FIG. 3, there is shown example of a State Checklist, for Alaska in this particular example, showing the applicable Form Requirements for the selected Topic. After the Master Checklist has been reviewed and approved, the user generates State Checklists. These checklists are automatically created based on the applicable form requirements for each state stored in the FCD. The software compares the form requirements from the Master Checklist to each state's unique requirements and generates a list of recommended revisions.• Tagging and Revision: When a revision is recommended, the software highlights the relevant language in the form that needs to be modified into a modified form. The user can either: o Revise the form language in real-time within the software. o Withdraw the form. o Override the automatic recommendation.• Redlining and Peer Review: As show with reference to FIG. 6, all revisions are redlined using a redlining feature within the software showing highlights of modified text sections, allowing for easy review by peers. The peer reviewer can toggle between form requirements and the corresponding revisions, streamlining the review process.Finalization of State-Specific Forms: Once all revisions are approved, the software automatically generates state-specific forms that meet the requirements for eachjurisdiction. These forms are stored in a state-specific form list and are converted to PDFs, ready for submission to a regulatory body or regulatory bodies.

[0036] The software can also generate State Amendatory Endorsements based on templates created during project setup. These endorsements automatically incorporate any language revisions updated in real-time needed to comply with state-specific requirements including pre-approved regulatory language. Referring next to FIG. 4, there is shown an example of an excerpt from an Alaska Division of Insurance required filing transmittal, showing the relationship between Form Requirements and transmittal fields that must be completed when policy forms are filed with the state.Automated Form Lists and Filing Support

[0037] The software maintains an automated form list for each project, which includes all forms uploaded during project setup as well as state-specific forms created during the compliance review. Users can choose between a multistate form list or individual state form lists, depending on their preferences. The form lists are automatically updated with state-specific form numbers, titles, and revisions.• Readability Scores: For jurisdictions that require readability scores, the software automatically calculates these based on the form text and adds them to the form list.• Filing Support: The software provides full support for regulatory filings. It automatically populates transmittal forms and maps each form to the corresponding compliance requirements for the selected jurisdictions. With integration to SERFF, the software can directly upload forms to the regulatory platform of a regulatory filing system.Machine Learning and Automation Features

[0038] One of the core advantages of the disclosure is its ability to utilize machine learning for continuous improvement. As the software is used, it gathers data on form language, compliance requirements, and user preferences, allowing it to make moreaccurate recommendations over time. The system learns from user-driven workflows and peer review decisions to build better decision trees for future compliance reviews.• Automated Decision-Making: The software automates most compliance decisions by identifying overlapping requirements across multiple jurisdictions. This eliminates repetitive decision-making processes and reduces reliance on individual expertise. Only form requirements that are unique to specific jurisdictions require manual intervention.• Crowdsourcing Knowledge: Users can submit user feedback and suggestions through user input, which are incorporated into the software's knowledge base. This crowdsourcing capability allows the software to continually expand its database of form requirements, making it more knowledgeable than any individual user.Form Filing and Objection Processing

[0039] Referring to FIG. 7, there is shown is a flow chart of the filing setup and objection process. The software provides robust support for regulatory filing, including integration with SERFF, as shown with reference to FIG. 8, the industry-standard system for electronic rate and form filing. The software automates the following tasks:• Form Filing Amendments: If a state regulator requests an amendment to a filed form, the software automatically updates the corresponding state checklist and form list, ensuring all changes are properly reflected.• Objection Letter Processing: When a regulator issues an objection letter, the software automatically identifies the relevant form requirement that needs to be addressed. The user can then revise the form language directly within the software and resubmit the form through SERFF.Software updates can be made, for example, based on jurisdictional changes, based on regulatory changes .retrieved compliance requirements and the like.Forms Compliance Help Desk

[0040] The disclosure includes a built-in Forms Compliance Help Desk (FCHD) feature, which allows users to request assistance from policy form experts. This feature is designed to provide a lifeline for users who encounter difficult or unique form requirements that they cannot address using the automated tools. The help desk serves several purposes:• It prevents user dissatisfaction by offering timely support.• It provides feedback on specific software components that may need improvement.• It offers opportunities for reinforcing relationships with users by providing a high level of service.SERFF Integration and Regulatory Collaboration

[0041] The software is fully integrated with the SERFF platform, allowing users to upload forms and related documents directly to the regulatory platform. This integration offers several advantages:• It ensures that the forms submitted through SERFF are consistent with those developed and reviewed within the software.• It allows regulatory authorities to use the same software for reviewing filings, which could streamline the review process and reduce the time required for approval.• The software can automatically track form revisions that have been approved by regulators, ensuring that future compliance reviews are based on the most up-to- date information.Reporting and Analytics

[0042] The disclosure includes a robust reporting and analytics feature that allows users to generate reports on various aspects of the compliance review process. For example:Users can run reports that identify form requirements affected by recent regulatory changes.• Reports can show the progress of form revisions across multiple jurisdictions, making it easier to manage projects that span several states.

[0043] It should be appreciated by those skilled in the art that the methods and processes disclosed herein include within their scope incorporating tangible computing devices, dedicated hardware modules, and automated regulatory compliance workflows, and the present disclosure provides a tangible solution that is firmly rooted in specific machines and processes. The system of the present disclosure goes beyond abstract data manipulation by implementing real-time compliance verification, hardware- accelerated decision-making, and secure regulatory submission interfaces.System Overview

[0044] The present disclosure describes a comprehensive forms automation system implemented on a specialized computing platform designed for regulatory compliance automation. Referring generally to FIG. 9, the system consists of a distributed network of interconnected computing devices, including dedicated compliance servers, machine learning modules and processors, and specialized form-processing modules. The hardware architecture is integrated with third-party document management systems and external regulatory platforms such as the System for Electronic Rate and Form Filing (SERFF) and includes a secure cloud-based infrastructure for real-time collaboration and compliance verification.Forms Compliance Processing Unit (FCPU)

[0045] At the core of the system is the Forms Compliance Processing Unit (FCPU), a dedicated computing module configured to:• Store and retrieve regulatory compliance data from a structured compliance repository.Execute automated compliance verification routines.• Communicate with regulatory agencies via an integrated regulatory communication interface.• Process and generate compliance-ready forms in accordance with jurisdictionspecific requirements.

[0046] The FCPU operates using a high-performance server architecture with specialized data processing units (DPUs) and an Al accelerator module, dedicated compliance processing hardware for real-time regulatory analysis. The DPUs handle structured compliance data retrieval, while the Al accelerator module enhances the efficiency of machine-learning-driven compliance decision-making.Intelligent Optical Character Recognition (iOCR) and Compliance Verification Engine

[0047] A key hardware component of the system is the Intelligent Optical Character Recognition (iOCR) engine, which:• Extracts text from scanned regulatory documents using dedicated text analysis hardware.• Cross-references extracted text with the Forms Compliance Database (FCD) to identify relevant compliance requirements.• Provides automated tagging and categorization of compliance terms using a machine learning-based regulatory mapping processor.

[0048] The iOCR engine is implemented on a Field Programmable Gate Array (FPGA) module, optimizing real-time compliance text processing for high-speed compliance text extraction.Automated Workflow and Document Processing System (AWDPS)

[0049] The Automated Workflow and Document Processing System (AWDPS) is a combination of specialized software and hardware components designed to:Automate the ingestion of multi-jurisdictional regulatory forms using dedicated form parsing hardware.• Maintain a structured regulatory database stored on a compliance-optimized database server.• Generate dynamic regulatory checklists based on extracted compliance rules.

[0050] The AWDPS includes dedicated compliance workflow servers that execute predefined compliance validation routines, ensuring that regulatory requirements are continuously updated and reflected in the compliance database.Secure Regulatory Filing Interface and Compliance Gateway

[0051] The compliance automation system includes a Secure Regulatory Filing Interface (SRFI), which is a hardware-secured gateway facilitating direct electronic submission of forms to regulatory bodies. The SRFI includes:• Secure encryption modules for compliance data transmission encrypting submissions using quantum-safe cryptographic protocols.• Biometric authentication mechanisms for user verification.• Real-time submission tracking through an integrated blockchain-based audit ledger to provide an immutable record of all compliance-related modifications.

[0052] The compliance gateway interfaces in bidirectional data exchange with regulatory authorities via application programming interfaces (APIs) that ensure seamless synchronization of compliance records between the compliance system and external agencies.Distributed Compliance Decision-Making and Machine Learning Integration

[0053] To enhance the decision-making process, the system includes a distributed compliance decision-making network comprising:Edge computing nodes for localized compliance processing.• A central Al-powered compliance engine that aggregates regulatory feedback.• A crowdsourcing-based compliance knowledge repository that continuously refines compliance rules based on industry-wide inputs.

[0054] The distributed compliance network ensures that compliance decisions are made based on real-time data, reducing human intervention and improving the accuracy of regulatory filings.Compliance Review and State-Specific Form Generation Module

[0055] The compliance automation system includes a dedicated Compliance Review and Form Generation Module (CRFGM) implemented on dedicated compliance processing hardware and specialized form-processing hardware. This module:• Generates state-specific forms using automated rule-based transformations.• Employs natural language processing (NLP) units to ensure regulatory compliance language is correctly applied through compliance text optimization.• Incorporates regulatory review checkpoints using an integrated peer-review verification module.

[0056] The CRFGM hardware consists of dedicated compliance processors that optimize form generation speed and accuracy, reducing manual intervention. The the machine-leaming-driven compliance decision engine is distributed across multiple edge computing nodes.

[0057] The present disclosure revolutionizes forms compliance by automating many of the tasks traditionally performed manually. It reduces the reliance on individual expertise, speeds up the compliance review process, and improves the accuracy of regulatory submissions. Through machine learning and crowdsourcing, the softwarecontinually improves, making it an indispensable tool for industries that deal with complex regulatory frameworks.

[0058] Although the disclosures herein are with reference to specific embodiments, various modifications and changes can be made without departing from the scope of the present disclosure, as presently set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of the present disclosure. Any benefits, advantages, or solutions to problems that are described herein with regard to specific embodiments are not intended to be construed as a critical, required, or essential feature or element of any or all the claims.

[0059] Unless stated otherwise, terms such as "first" and "second" are used to arbitrarily distinguish between the elements such terms describe. Thus, these terms are not necessarily intended to indicate temporal or other prioritization of such elements. The terms "coupled" or "operably coupled" are defined as connected, although not necessarily directly, and not necessarily mechanically. The terms "a" and "an" are defined as one or more unless stated other The terms “comprise” (and any form of comprise, such as “comprises” and “comprising”), “have” (and any form of have, such as “has” and “having”), “include” (and any form of include, such as “includes” and “including”) and “contain” (and any form of contain, such as “contains” and “containing”) are open-ended linking verbs. As a result, a system, device, or apparatus that “comprises,” “has,” “includes” or “contains” one or more elements possesses those one or more elements but is not limited to possessing only those one or more elements. Similarly, a method or process that “comprises,” “has,” “includes” or “contains” one or more operations possesses those one or more operations but is not limited to possessing only those one or more operations.

[0060] While the foregoing is directed to embodiments of the present disclosure, other and further embodiments of the disclosure may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.

Claims

WHAT IS CLAIMED IS:CLA MS1 . A computer-implemented method for automating regulatory compliance form processing, comprising: receiving user input specifying regulatory jurisdictions and compliance parameters; retrieving compliance requirements from a forms compliance database; analyzing form content using a machine learning model to identify regulatory compliance gaps; generating compliance recommendations based on retrieved compliance requirements; automatically applying compliance recommendations to form content to produce a modified form; performing a peer-review verification of a content of the modified form; generating a compliance checklist summarizing modifications; formatting the modified forms for submission to a regulatory body; and submitting the forms through an electronic regulatory filing system.

2. The method of claim 1 , wherein the forms compliance database is updated in real-time based on regulatory changes.

3. The method of claim 1 , wherein the machine learning model is trained using historical compliance decisions and user feedback.

4. The method of claim 1 , wherein the compliance checklist includes a redlining feature that highlights modified text sections.

5. The method of claim 1 , wherein the peer-review verification includes an integrated chat function for collaborative discussion.

6. The method of claim 1 , further comprising generating state-specific compliance checklists.

7. The method of claim 1 , further comprising detecting regulatory inconsistencies across multiple jurisdictions.

8. The method of claim 1 , further comprising integrating with a third-party document management system.

9. The method of claim 1 , wherein compliance recommendations include preapproved regulatory language templates.

10. The method of claim 1 , wherein the electronic regulatory filing system is integrated with a System for Electronic Rate and Form Filing (SERFF).11 . A method for automating regulatory compliance using a specialized computing system, comprising: receiving, via a secure regulatory compliance interface, form content and jurisdictional parameters; processing form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules; extracting compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine; comparing extracted text to a structured compliance database; generating a compliance checklist using an Automated Workflow & Document Processing System (AWDPS); verifying form compliance through a machine-learning-driven compliance decision engine; modifying form content using a Compliance Review and Form Generation Module (CRFGM);securing regulatory submission using a Secure Regulatory Filing Interface(SRFI); tracking submission changes with a blockchain-based audit ledger; and submitting a finalized compliance forms to a regulatory authority via an API integration.

12. The method of claim 11 , wherein the Forms Compliance Processing Unit (FCPU) includes dedicated compliance processing hardware for real-time regulatory analysis.

13. The method of claim 11 , wherein the iOCR engine uses a Field Programmable Gate Array (FPGA) module for high-speed compliance text extraction.

14. The method of claim 11 , wherein the compliance checklist is dynamically updated based on jurisdictional changes stored in a compliance database.

15. The method of claim 11 , wherein the machine-learning-driven compliance decision engine is distributed across multiple edge computing nodes.

16. The method of claim 11 , wherein the Secure Regulatory Filing Interface (SRFI) encrypts submissions using quantum-safe cryptographic protocols.

17. The method of claim 11 , wherein the blockchain-based audit ledger provides an immutable record of all compliance-related modifications.

18. The method of claim 11 , wherein the system includes biometric authentication for secure user access to compliance workflows.

19. The method of claim 11 , wherein the Compliance Review and Form Generation Module (CRFGM) incorporates natural language processing (NLP) techniques for compliance text optimization.

20. The method of claim 11 , wherein the regulatory authority facilitates bidirectional data exchange between regulatory agencies and compliance systems.21 .A system for automating regulatory compliance form processing comprising: one or more processors configured to: receive user input specifying regulatory jurisdictions and compliance parameters; retrieve compliance requirements from a forms compliance database; analyze form content using a machine learning model to identify regulatory compliance gaps; generate compliance recommendations based on retrieved compliance requirements; automatically apply compliance recommendations to form content to produce a modified form; perform a peer-review verification of a content of the modified form; generate a compliance checklist summarizing modifications; format the modified forms for submission to a regulatory body; and submit the forms through an electronic regulatory filing system.

22. The system of claim 21 , wherein the forms compliance database is updated in real-time based on regulatory changes.

23. The system of claim 21 , wherein the machine learning model is trained using historical compliance decisions and user feedback.

24. The system of claim 21 , wherein the compliance checklist includes a redlining feature that highlights modified text sections.

25. The system of claim 21 , wherein the peer-review verification includes an integrated chat function for collaborative discussion.

26. The system of claim 21 , wherein the one or more processors are further configured to: generate state-specific compliance checklists.

27. The system of claim 21 , wherein the one or more processors are further configured to: detect regulatory inconsistencies across multiple jurisdictions.

28. The system of claim 21 , wherein the one or more processors are further configured to: integrate with a third-party document management system.

29. The system of claim 21 , wherein compliance recommendations include preapproved regulatory language templates.

30. The system of claim 21 , wherein the electronic regulatory filing system is integrated with a System for Electronic Rate and Form Filing (SERFF).31 .A system for automating regulatory compliance using a specialized computing system comprising: one or more processors configured to: receive, via a secure regulatory compliance interface, form content and jurisdictional parameters; process form content using a Forms Compliance Processing Unit (FCPU) configured to apply compliance rules; extract compliance-relevant text using an Intelligent Optical Character Recognition (iOCR) engine; compare extracted text to a structured compliance database; generate a compliance checklist using an Automated Workflow & Document Processing System (AWDPS);verify form compliance through a machine-learning-driven compliance decision engine; modify form content using a Compliance Review and Form Generation Module (CRFGM); secure regulatory submission using a Secure Regulatory Filing Interface (SRFI); track submission changes with a blockchain-based audit ledger; and submit a finalized compliance forms to a regulatory authority via an API integration.

32. The system of claim 31 , wherein the Forms Compliance Processing Unit (FCPU) includes dedicated compliance processing hardware for real-time regulatory analysis.

33. The system of claim 31 , wherein the iOCR engine uses a Field Programmable Gate Array (FPGA) module for high-speed compliance text extraction.

34. The system of claim 31 , wherein the compliance checklist is dynamically updated based on jurisdictional changes stored in a compliance database.

35. The system of claim 31 , wherein the machine-learning-driven compliance decision engine is distributed across multiple edge computing nodes.

36. The system of claim 31 , wherein the Secure Regulatory Filing Interface (SRFI) encrypts submissions using quantum-safe cryptographic protocols.

37. The system of claim 31 , wherein the blockchain-based audit ledger provides an immutable record of all compliance-related modifications.

38. The system of claim 31 , wherein the system includes biometric authentication for secure user access to compliance workflows.

39. The system of claim 31 , wherein the Compliance Review and Form Generation Module (CRFGM) incorporates natural language processing (NLP) techniques for compliance text optimization.

40. The system of claim 31 , wherein the regulatory authority facilitates bidirectional data exchange between regulatory agencies and compliance systems.

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