Morgan Stanley Opens ShareWorks and Equity Edge to Autonomous AI Agents via Model Context Protocol

Morgan Stanley will allow corporate clients to deploy autonomous AI agents that connect directly to its ShareWorks and Equity Edge stock administration platforms, bypassing traditional human-facing software interfaces. The bank has already granted early access to a handful of clients and plans to open the capability to all 3,400 administration clients by next year, CNBC reported in an exclusive.

“The way we see it, in a future state, our corporate clients will not be logging into ShareWorks or Equity Edge,” Mark Mitchell, chief product officer of Morgan Stanley at Work, told CNBC. Clients will instead use “agentic AI-powered tools on their desktops within the four walls of their companies, interacting with our platforms in a purely agentic way.”

How It Works

Morgan Stanley is using the Model Context Protocol (MCP), an open-source standard that allows AI models to plug directly into data sources and external systems. Rather than employees logging into ShareWorks or Equity Edge to manage stock compensation plans, AI agents will handle data retrieval, task execution, and workflow automation on their behalf.

The pitch to corporate clients centers on complexity and headcount. Fast-growing technology and biotech companies administer increasingly complex stock plans. Traditionally, that complexity required adding support staff in HR and compliance roles. Mitchell told CNBC that AI agents can handle parts of that work without additional employees.

Morgan Stanley is applying the same logic internally, seeing agentic AI as a way to scale customer support, plan administration, and its wealth management funnel without adding “thousands and thousands” of employees, according to Mitchell.

The Wealth Management Funnel

The stock administration business is a key feeder for Morgan Stanley’s wealth management division, the world’s largest at $7.35 trillion in client assets. In April, Morgan Stanley executives attributed $1.2 trillion in assets gathered to the workplace strategy, per CNBC. The firm acquired Solium Capital in 2019 and E-Trade in 2020, building a business that now serves nearly half of S&P 500 companies and eight of the ten largest unicorn startups.

The core insight: by administering employee stock plans, Morgan Stanley converts workers into advisory clients as their wealth grows. Opening those platforms to autonomous agents doesn’t threaten that pipeline if the proprietary data and business logic remain on Morgan Stanley’s side.

“The companies that are going to survive in the future are the ones who have proprietary data and business logic, which is the foundation of our offering,” Mitchell told CNBC. “The fact that they won’t be logging into the websites doesn’t scare us at all.”

Where Rivals Stand

JPMorgan Chase and Goldman Sachs are using AI agents internally for tasks like writing code, but neither has publicly announced plans to allow external AI agents to connect directly to their systems, according to CNBC. Goldman Sachs is working with Anthropic on AI agents for accounting and other specialized roles, India Today reported.

The Interface Inversion

Morgan Stanley began partnering with OpenAI in 2022. Mitchell described software as being “at an inflection point,” noting that in a pre-AI world, companies fought to hook users on proprietary platforms and keep them there. The bank now believes that dynamic matters less when AI agents become the primary interface between people and financial services.

For agent builders and enterprise platform operators, the signal is clear: the largest wealth manager on Wall Street is redesigning its client touchpoints around autonomous agents, not around human logins. The question for every SaaS platform managing sensitive data is whether to follow Morgan Stanley’s lead or risk becoming the interface that agents route around.