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

Latent Space

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Why it's worth watching

Picked by AIShows how an AI-native financial firm builds long-horizon agents in practice, with concrete architecture, memory, guardrails, and compliance tradeoffs. Useful if you want real operator detail on turning AI into a regulated workflow.

Key moments

The parts the AI thinks are worth your time, chosen from the creator's chapters. Click to jump.

Chapters

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About this video

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