AI-Governed Agent Architecture for Web-Trustworthy Tokenization of Alternative Assets
This addresses the problem of data authenticity and fraud in tokenized asset ecosystems for financial practitioners, though it appears incremental as it combines existing technologies like AI, agents, and blockchain.
The paper tackles the challenge of ensuring trustworthiness in web-based tokenized ecosystems for alternative assets by proposing an AI-governed agent architecture that integrates intelligent agents with blockchain, demonstrating enhanced transparency, security, and compliance through a real estate case study.
Alternative Assets tokenization is transforming non-traditional financial instruments are represented and traded on the web. However, ensuring trustworthiness in web-based tokenized ecosystems poses significant challenges, from verifying off-chain asset data to enforcing regulatory compliance. This paper proposes an AI-governed agent architecture that integrates intelligent agents with blockchain to achieve web-trustworthy tokenization of alternative assets. In the proposed architecture, autonomous agents orchestrate the tokenization process (asset verification, valuation, compliance checking, and lifecycle management), while an AI-driven governance layer monitors agent behavior and enforces trust through adaptive policies and cryptoeconomic incentives. We demonstrate that this approach enhances transparency, security, and compliance in asset tokenization, addressing key concerns around data authenticity and fraud. A case study on tokenizing real estate assets illustrates how the architecture mitigates risks (e.g., fraudulent listings and money laundering) through real-time AI anomaly detection and on-chain enforcement. Our evaluation and analysis suggest that combining AI governance with multi-agent systems and blockchain can significantly bolster trust in tokenized asset ecosystems. This work offers a novel framework for trustworthy asset tokenization on the web and provides insights for practitioners aiming to deploy secure, compliant tokenization platforms.