Very Interesting, thanks for the post. The agent conversation in finance is moving fast, but the step most teams still underestimate is the security and governance layer. Connecting an AI agent to financial workflows without a clear model context boundary, rigorous access controls, and strong auditability is a recipe for risk creep.
In my work, we’ve found that the real differentiator isn’t just picking the right model or framework; it’s designing the orchestration so that data stays safe, actions stay intentional, and regulatory obligations are met from day one.
Agree on the limitations you describe. I am not sure the innovation is going to come from the safe path, and there is no safe path really. But having in mind those constraints is valuable.
Very Interesting, thanks for the post. The agent conversation in finance is moving fast, but the step most teams still underestimate is the security and governance layer. Connecting an AI agent to financial workflows without a clear model context boundary, rigorous access controls, and strong auditability is a recipe for risk creep.
In my work, we’ve found that the real differentiator isn’t just picking the right model or framework; it’s designing the orchestration so that data stays safe, actions stay intentional, and regulatory obligations are met from day one.
Agree on the limitations you describe. I am not sure the innovation is going to come from the safe path, and there is no safe path really. But having in mind those constraints is valuable.