Finance

Morgan Stanley

AI @ Morgan Stanley Assistant: GPT-4 Over the Firm's Research Library for Wealth Advisors

  • Advisor team adoption: over 98% (reported by OpenAI)
  • Document access: 20% to 80% (reported by OpenAI)
  • Cost and ROI: Not publicly disclosed

The Outcome

OpenAI's case study reports that over 98% of advisor teams use the assistant and that document access rose from 20% to 80% (vendor-published).

Key Metrics

  • Advisor team adoption: over 98% (reported by OpenAI)
  • Document access: 20% to 80% (reported by OpenAI)
  • Cost and ROI: Not publicly disclosed

The Problem

Wealth advisors needed fast answers from a very large body of internal research and documents, and searching it by hand took time.

The Solution

Morgan Stanley built an internal assistant on OpenAI's GPT-4 that answers advisors' questions from the firm's own content, supported by an evaluation framework used to test reliability before wider release.

Key Takeaways: Morgan Stanley AI Results

  • Company: Morgan Stanley (Finance)
  • Advisor team adoption: over 98% (reported by OpenAI)
  • Document access: 20% to 80% (reported by OpenAI)
  • Cost and ROI: Not publicly disclosed
  • ROI multiple: Not publicly disclosed

Sign in free to read the full Morgan Stanley case study

A free AI Hub account unlocks these sections, plus downloadable templates and Academy courses.

  • ROI & financial analysis
  • Implementation journey & timeline
  • Lessons learned & challenges
  • Technical architecture & tech stack
  • Governance & oversight
  • Sources & code resources
Wealth ManagementGPT-4Knowledge RetrievalRAGEvaluation

Parts of this page were prepared with AI tools and reviewed and edited by a person, who is responsible for it. How we use AI