Inside Arca’s Long-Horizon Agents That Run the Business – Aman Singh, Arca
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Arca is an AI-native financial services firm where agents don't assist the business, they run it. Aman Singh, who leads AI at Arca, shows how long-horizon agents own a client goal end to end across days of stop-start work: a signal system that keeps agents aware of emails, calls, custodian events and in-app actions; operational context and a harness to do the work; persistent memory; and shared spaces where agents pull in the right person at the right time. The result: agents prompt people more than people prompt agents, and the firm steers the business by steering its agents. Chapters 00:00 Intro: Arca, an AI-native services firm 01:19 Long-horizon vs long-running work 01:54 Example: raising cash for a client's tax bill 02:51 Agents own the outcome end to end 04:17 Following one signal: the journey of an email 05:28 Spaces: where agents pull in people 06:08 Agents watch the world so people don't have to 06:52 Handling a messy real world 08:24 The primitives of long-horizon work 09:00 Emergent complexity, and the last six months 10:11 Why do this? Agents run the business 11:15 Steering the business by steering agents 12:28 Using AI tools vs being AI native Aman Singh, Arca Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
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