AI Agents in Finance Shift to Machine Identity, Trust & Audits

Executives from Microsoft and Chainalysis said AI agents are changing how financial transactions are executed, forcing finance to focus on machine identity, auditability, and trust—not just automation speed. At an Alchemy event in New York, Microsoft’s Bill Borden warned legacy systems may face latency and scalability pressure as transaction complexity rises. He argued that firms must prove control reliability and policy compliance when humans are not directly involved, using identity/permission/action logs bound to AI agents. The discussion also emphasized “machine identity” and action tracking for regulated decision-making. Chainalysis CEO Jonathan Levin said the crypto ecosystem is ahead because blockchains already structure high-volume automation via smart contracts and software wallets, alongside risk tooling that monitors illicit funds across many wallets. Both sides expect coexistence: most settlement could move to public infrastructure over the next decade, while traditional rails remain, connected via software layers. For crypto traders, this is primarily a market-structure and regulatory-technology narrative. The key takeaway is higher expectations for on-chain automation and stronger crypto compliance tooling as institutions evaluate AI agents for finance.