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Building AI agents for wealth management at scale

Arca's head of AI discusses how the startup runs multi-day agentic workflows to support financial advisors and manage client portfolios.

Summarized from @LatentSpacePod, . 35-second read.

Arca, an AI-native wealth management firm, is using to assist human financial advisors rather than replace them. Head of AI Aman Singh explains Arca's technical architecture, which includes custom agent harnesses, persistent memory systems, and workflows that span days—longer than typical agent tasks. The system handles complex financial decisions like tax planning and fee discovery, with human approval gates for major actions.

Safety and compliance are built into the platform from the start, including injection defenses, auditability logs, and verification sandboxes for financial plans. Singh notes that Arca owns its agent infrastructure rather than relying solely on third-party tools, allowing the firm to tailor routing, memory, and model selection through internal benchmarking. A key insight: agents often prompt humans for guidance as much as humans prompt agents, making the workflow genuinely collaborative.

Read the full story at @LatentSpacePod

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