Provided herein a method for secure and real-time converting a volatile asset into another asset in a quantum-resistant blockchain network using an Artificial Intelligence (AI) model. The method includes receiving volatile asset conversion request and user preferences from a user through a user device, personalizing the AI model by identifying patterns and correlations between the user preference, and the real-time behavioral patterns and the historic data of the user to personalize the AI model, predicting value of each volatile asset over time using the personalized AI model, determining an optimal time to convert each volatile asset based on the predicted value of the volatile assets over time, converting each volatile asset into another asset preferred by the user, at the determined optimal time and generating a smart contract on the quantum-resistant blockchain network to secure each volatile asset's conversation into another asset.

A Universal Decentralized Banking, Wallet, Vault and BEISIGN Secure Clearing System is disclosed, integrating AI Governance, Asset Tokenization, and an Integrated Domain Ecosystem. This system establishes a robust blockchain-based financial architecture for individuals, institutions, and governments, ensuring infinite scalability, dynamic growth, and enhanced security. A Master AI Protocol autonomously manages financial operations, including risk assessment, dynamic asset valuation, anomaly detection, and governance proposals. The system supports comprehensive asset tokenization into NFTs for diverse real-world and digital assets, enabling fragmentation and use as collateral. Crucially, a novel BEISIGN Secure Clearing System replaces traditional SWIFT/switch codes by providing a privacy-preserving dual confirmation layer for transactions, enhancing security, privacy, and efficiency in clearing and settlement. An Integrated Domain Ecosystem binds curated domain names (e.g., BEISIGN.com, ATMS.com) to core smart contracts, digital identities, and tokenized assets, serving as trusted operational entry points and enhancing brand protection. This invention delivers a highly secure, private, scalable, and autonomous banking solution with significant cost reduction and enhanced trust.

A method and system for financial services, intergenerational savings, trust management, future inheritance planning, and the use of artificial intelligence in conditional asset management facilitate the generation and protection of multi-generational wealth.

A system and method for automated multi-stakeholder coordination and privacy-enhanced collaborative financial planning, comprising a smart scheduling application, task management engine, data fusion suite with automated document processing, machine learning engine utilizing recurrent neural networks, and stakeholder management engine. The system coordinates activities among financial advisors, attorneys, certified public accountants, and family members through role-based access controls and compartmentalized project workspaces. Key features include automated data extraction from unstructured communications, real-time transcription services, client oversight mechanisms, comprehensive audit trails, and end-to-end encryption ensuring regulatory compliance with GDPR, CPRA, and financial industry privacy standards for professional firms and family offices worldwide.

An object of the present disclosure is to improve a technique of presenting a portfolio of asset management according to a subject. An information processing apparatus includes a question selection unit that selects a question to be presented next from among unpresented questions included in a question group based on an answer to a question selected from the question group for determining a portfolio of asset management and presented to a subject, and a presentation control unit that presents, to the subject, a portfolio according to an answer of the subject to each of the selected and presented questions. According to this information processing apparatus, it is possible to support the decision making of the subject for asset management.

An object is to improve a technique of automatically determining whether to make an automatic response or to cause an operator to respond. A support apparatus includes a reception unit that receives a request related to asset management from a support subject, and a response control unit that determines whether to cause an operator to respond to the request or to make an automatic response to the request according to content of the request. According to this support apparatus, it is possible to support the decision making of a subject who manages assets.

Technologies for enterprise financial modeling include a system with circuitry configured obtain parameter data indicative of a financial status of an organization. The circuitry may be further configured to select, as a function of the parameter data and from a set of models for tracking key financial metrics of different types of organizations, a model. Additionally, the circuitry may be configured to simulate, using the selected model and by dynamically allocating compute resources across multiple compute devices as a function of a simulation compute load, an effect of a predicted performance of a set of investments on the financial status of the organization. Other embodiments are also described and claimed.

A computer-implemented system and method for aligning employee incentives with project performance using smart contracts and distributed ledger technology. Employees can stake funds into company projects and receive payouts based on project KPIs. A network of connected computing devices and sensors to monitor project data, which is analyzed to calculate payouts according to the smart contract terms. The system automates the compensation process, provides AI-powered investment tools, real-time dashboards, and enables decentralized governance. By creating direct employee ownership in projects and utilizing transparent, immutable smart contracts, the invention solves the misalignment issues of traditional compensation models. The unique staking mechanism and comprehensive feature set drives employee engagement and accountability, fostering a true sense of ownership in their work.

The present invention relates to a system and method for deterministically generating reproducible evaluative scores for a subject of analysis (e.g., a security). The system comprises a processor and memory storing instructions to: receive verified data describing the subject; store this data in a fixed and version-controlled corpus to define a static analytical context; execute a large-language model (LLM) under a structured prompt framework that directs a controlled scratch-pad reasoning process for preliminary interpretations and evidence extraction; perform a multi-pass deterministic analysis of the fixed corpus to produce structured, synthesized statements as reproducible evidentiary outputs; and finally, apply a rubric-based scoring engine that converts these statements into calibrated alignment scores and aggregates them to generate a composite deterministic score. This architecture ensures reproducibility, transparency, and auditability by anchoring the flexible analysis of the LLM and the final scoring logic to a known, unchanging evidence corpus.

A system and method that evaluate and monitor the financial wellness of a person that is a client of a bank, and provides a financial wellness score that is used to provide banking service recommendations that may act to increase the wellness score. The method includes providing a wearable device that the person wears and that monitors physical attributes of the person, collecting data and information as it is being received over time about the physical attributes of the person from the wearable device, processing the data and information as it is being received over time using a machine learning model, and determining a financial wellness score based on the processed data and information.