Using Agents for Long-Horizon Financial Work — Aman Singh, Arca

Arca, an AI-native wealth management firm, utilizes autonomous AI agents to streamline back-office operations and deliver proactive financial services. By employing a model-agnostic harness, the firm dynamically assigns tasks to appropriate AI models based on complexity, ensuring high-level financial rigor while maintaining strict human-in-the-loop oversight for trade execution and client interaction. Agents continuously monitor financial signals—such as tax deadlines or portfolio rebalancing needs—to alert human advisors, effectively reversing the traditional dynamic where users must prompt software. This architecture prioritizes auditability and security through deterministic guardrails and automated verification, allowing the firm to provide personalized, high-touch service at scale. By treating internal knowledge as a first-class product feature, the system ensures that AI agents remain aligned with firm-specific financial principles and regulatory requirements, ultimately enhancing client outcomes through tireless, data-driven analysis.