Morgan Stanley gives AI agents access to wealth platforms: How it works, what changes
The Wall Street giant has begun granting limited access to a select group of clients and plans to extend the capability to all 3,400 administration clients by next year.
3 Min Read
Morgan Stanley is opening its wealth management infrastructure to artificial intelligence, allowing AI agents used by corporate clients to directly access data and insights from its stock administration platforms.
The move marks one of the first instances of a major US bank enabling external AI tools to interact with its systems, signalling a shift in how financial services may be delivered in the future.
How will it work
Under the new system, autonomous AI tools will be able to access data from Morgan Stanley’s ShareWorks and Equity Edge platforms without relying on software designed for human users.
Instead, clients will be able to interact with the platforms through AI-powered tools operating within their own organisations.
Mark Mitchell, chief product officer at Morgan Stanley at Work, said the bank expects corporate clients to increasingly use agentic AI systems rather than directly logging into its platforms.
“The way we see it, in a future state, our corporate clients will not be logging into ShareWorks or Equity Edge. Instead, they will be using agentic AI-powered tools on their desktops within the four walls of their companies, interacting with our platforms in a purely agentic way,” Mitchell said.
Morgan Stanley’s big AI bet
The development reflects a broader shift across the financial sector as institutions prepare for a future in which AI agents can perform tasks that currently require employees. While banks including JPMorgan Chase and Goldman Sachs have deployed AI tools internally, Morgan Stanley's approach is notable because it allows external AI agents to interact directly with its systems.
The bank believes AI agents could help scale services such as customer support, stock-plan administration and client onboarding more efficiently. The bank is relying on the Model Context Protocol (MCP), an open-source standard designed to help AI models interact with external data sources and software platforms.
Morgan Stanley has been working with OpenAI since 2022 and has explored the use of AI across multiple business units. Mitchell said the software industry is currently at an inflection point, with firms possessing proprietary data and business logic are likely "going to survive in the future."
He stated that "the fact that they won't be logging into" the websites "doesn't scare us at all."
The move marks one of the first instances of a major US bank enabling external AI tools to interact with its systems, signalling a shift in how financial services may be delivered in the future.
According to a CNBC report, the Wall Street giant has begun granting limited access to a select group of clients and plans to extend the capability to all 3,400 administration clients by next year.
How will it work
Under the new system, autonomous AI tools will be able to access data from Morgan Stanley’s ShareWorks and Equity Edge platforms without relying on software designed for human users.
Instead, clients will be able to interact with the platforms through AI-powered tools operating within their own organisations.
Mark Mitchell, chief product officer at Morgan Stanley at Work, said the bank expects corporate clients to increasingly use agentic AI systems rather than directly logging into its platforms.
“The way we see it, in a future state, our corporate clients will not be logging into ShareWorks or Equity Edge. Instead, they will be using agentic AI-powered tools on their desktops within the four walls of their companies, interacting with our platforms in a purely agentic way,” Mitchell said.
Morgan Stanley’s big AI bet
The development reflects a broader shift across the financial sector as institutions prepare for a future in which AI agents can perform tasks that currently require employees. While banks including JPMorgan Chase and Goldman Sachs have deployed AI tools internally, Morgan Stanley's approach is notable because it allows external AI agents to interact directly with its systems.
The bank believes AI agents could help scale services such as customer support, stock-plan administration and client onboarding more efficiently. The bank is relying on the Model Context Protocol (MCP), an open-source standard designed to help AI models interact with external data sources and software platforms.
Morgan Stanley has been working with OpenAI since 2022 and has explored the use of AI across multiple business units. Mitchell said the software industry is currently at an inflection point, with firms possessing proprietary data and business logic are likely "going to survive in the future."
He stated that "the fact that they won't be logging into" the websites "doesn't scare us at all."
(Edited by : Sudarsanan Mani)
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