Capital Markets FinTech Forum
The Four Pillars of an Agent Strategy — Chat, Data, AI, Governance
AI agents are moving quickly into financial markets, but before firms think about agents, they need to think about the foundations underneath them. Matt Chung, CEO of iPushpull, speaks to Steve Grobe, founder of Vision57, about the four pillars of an effective agent strategy: chat, data, AI and governance. The conversation explores why chat has become an untapped source of valuable market data, how firms can turn unstructured conversations into real-time signals and workflows, and why the companies that gain access to this data early could have a significant competitive edge. Matt also explains why governance should not be seen as a constraint on AI, but as the layer that enables firms to move faster. From permissions and identity management to logging, audit and workflow controls, the conversation looks at what needs to be in place before agents can operate safely in regulated markets. Discussed in this episode: - The four pillars of an agent strategy: chat, data, AI and governance - Why firms need a data strategy before they build an agent strategy - Turning unstructured chat into real-time market signals and workflows - The hidden value inside hundreds of trading chat rooms - Why governance and controls can become a competitive moat - The risk of shadow AI and uncontrolled agent adoption - Buy versus build - The autonomy slider - Why AI is likely to change the trader's role rather than replace it Follow Matthew Cheung: https://www.linkedin.com/in/matthewcheung50/ For more information go to: https://ipushpull.com
