Liquid crypto funds are facing significant operational challenges due to inadequate infrastructure for managing decentralized finance (DeFi) strategies. Despite the growing legitimacy of DeFi and increased institutional interest, many fund managers rely on outdated methods like spreadsheets and manual reconciliation to track complex portfolios across multiple exchanges and protocols. This inefficiency is particularly problematic for funds engaged in liquidity provision, staking, and yield farming, where dynamic positions require sophisticated tracking and reporting. The lack of integrated systems that can handle both centralized and decentralized finance operations is a major hurdle. Traditional portfolio management tools are ill-equipped to manage the intricacies of DeFi positions, which often involve multi-asset exposures and dynamic fee accruals. As a result, fund managers struggle to provide accurate net asset value (NAV) calculations and performance metrics, undermining their credibility with institutional investors. To address these challenges, AI-driven solutions are emerging as essential tools for fund managers. By automating the categorization and tracking of DeFi positions, AI can provide the comprehensive visibility and protocol-level intelligence needed to manage complex portfolios effectively. This technological advancement is crucial for aligning the operational capabilities of crypto funds with the fast-evolving DeFi landscape.