In a major step toward AI-driven financial services, Morgan Stanley is preparing to open a critical part of its wealth management infrastructure to artificial intelligence agents used by corporate clients. The move will allow autonomous AI tools to access data and insights directly from the company’s ShareWorks and Equity Edge stock administration platforms, reducing the need for traditional human-operated software interfaces.
According to Mark Mitchell, Chief Product Officer of Morgan Stanley at Work, the company envisions a future where corporate clients no longer log into ShareWorks or Equity Edge directly. Instead, they will use agentic AI-powered tools within their organizations to interact with Morgan Stanley’s platforms and services.
The company has already provided a limited number of clients with early access to these capabilities and plans to expand availability to its 3,400 administration clients by 2027. The initiative represents one of the earliest examples of a major Wall Street institution opening its platforms to external AI agents.
Morgan Stanley’s workplace strategy has become an important growth driver for its wealth management business. In April, company executives said the strategy contributed to gathering $1.2 trillion in assets. The firm’s wealth management division currently oversees $7.35 trillion in client assets.
The company strengthened its workplace solutions business through the acquisitions of Solium Capital in 2019 and E-Trade in 2020. Today, the business serves nearly half of the companies in the S&P 500 and 8 of the 10 largest unicorn startups. By managing employee stock compensation plans, Morgan Stanley can build long-term relationships with employees and potentially convert them into wealth management clients as their financial assets grow.
The company believes AI agents can help fast-growing technology and biotech firms manage increasingly complex stock plans without significantly increasing support staff in areas such as human resources. Internally, Morgan Stanley also expects agentic AI to help scale customer support, plan administration, and wealth management operations without adding large numbers of employees.
To support this shift, the company is leveraging the Model Context Protocol (MCP), an open-source standard that enables AI models to connect directly with data sources.
Morgan Stanley believes that as AI agents become the primary interface for software interactions, the real competitive advantage will come from proprietary data and business logic rather than traditional user-facing platforms. The company views this transition as a significant turning point in the future of software and financial services.
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