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

Latent Space

Arca head of AI Aman Singh joins Latent Space head of editorial Richard MacManus at AI Engineer New York, to discuss how Arca is building an AI-native wealth management firm. Singh explains Arca's architecture, which includes a custom harness and persistent memory. He also digs into how Arca runs agentic workflows that span days, not hours. Arca: https://arcawealth.ai/ AI Engineer: https://ai.engineer/ Latent Space: https://www.latent.space/ Chapters: 00:00 Introducing Arca’s AI-native wealth management firm 01:40 How AI supports human financial advisors 02:40 Choosing models with internal benchmarks 04:01 Building a custom harness and routing tasks 05:25 Handling a $100,000 tax bill: Agents and human approvals 07:20 Agent memory across long-running tasks 09:22 Safety guardrails and prompt injection defenses 11:02 Compliance and auditability

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