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Banking’s Next Interface Isn’t an App. It’s an A.I. Agent.

The institutions best positioned for the agentic era will combine automation with governance, permissioning and human oversight.

Most conversations about A.I. in banking are still about productivity: a copilot that drafts a memo, a model that speeds up a review. That’s real, but it misses the bigger shift. A.I. agents are turning banking itself into something software can operate on a customer’s behalf. In the process, they’re reshaping what trust, permission and privacy look like in financial services. And that change is arriving from two directions at once, one of which most banks are not yet watching.

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Start with what an agent actually is, because the term is doing a lot of work. An agent is a loop around a language model: it reasons, calls a tool, reads the result and decides the next step, repeating until the task is complete. What makes this useful in finance is a second piece: a way to expose real banking services as tools the agent can call. An emerging open standard, the Model Context Protocol (MCP), does exactly that. It wraps an API in a plain-language description and a structured instruction set, so tasks like “retrieve my portfolio,” “look up a quote” or “place an order” become........

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