Amit Chatterjee

Amit Chatterjee spent more than three decades on Wall Street designing, building, and running the trading, market-data, risk, and operations technology that financial institutions depend on. He now works as an enterprise AI advisor — bringing an operator's judgment to the question every institution is now asking: what does it actually take to put AI into production?

Most recently, Amit was Head of Enterprise Cloud Migration & Capital-Markets Technology at U.S. Bank. Earlier he served as Managing Director and Chief Technology Officer for Global Equities Technology at Citigroup, and as Managing Director and Chief Information Officer at Weeden & Co. Across those roles he led large engineering organizations, modernized core trading infrastructure, and directed technology diligence and integration across multiple capital-markets M&A transactions. He has also served as a member of the NASDAQ Technology Advisory Committee.

His perspective is that AI becomes deployable inside a financial institution only when it is grounded in real data, entitlement-aware, auditable, and kept under human review — the same standards he held running production systems on the Street. To prove it, he built PRISM, a governed AI-agent platform that turns scattered public data into cited, checkable answers. Today he advises organizations through expert-network calls, advisory and fractional engagements, and speaking — and writes about it in his newsletter, Inside Enterprise AI.

• Enterprise AI advisor — expert calls, advisory & fractional work, and speaking
• Author of Inside Enterprise AI — a practitioner's newsletter on enterprise AI
• Founder & builder of PRISM — a governed AI-agent platform for capital markets
• Former Head of Enterprise Cloud Migration & Capital-Markets Technology — U.S. Bank
• Former Managing Director & CTO, Global Equities Technology — Citigroup
• Former Managing Director & CIO — Weeden & Co.
• Former member of the NASDAQ Technology Advisory Committee
• 35+ years building trading, market-data, risk, and operations technology on Wall Street