MicrosoftLive source

Morgan Stanley boosts financial advisor efficiency and personalized client engagement

Morgan Stanley, a leading global investment bank, leveraged Microsoft Azure OpenAI GPT-4 technology to empower over 16,000 financial advisors. Using a custom-built chatbot, advisors can rapidly distill crucial insights from a vast repository of internal documents, dramatically reducing information retrieval times. This enables more personalized, timely communication with clients through machine learning-powered recommendation systems such as Next Best Action, while also supporting sustainable investing via the Morgan Stanley Impact Quotient tool. Strategic alignment with OpenAI provided early GPT-4 access, and a full rollout of the conversational AI platform within the firm is underway. The initiative also covers the LeadIQ platform for pairing clients with suitable advisors, and uses AI analytics to personalize recommendations, improve client satisfaction, and align wealth portfolios with sustainability goals.

Organization
Morgan Stanley
Industry
Finance
Published
August 2023

Reported outcomes

98%

quantified impactCustomer experience

90%quantified impact

Strategic outcomes

Speed & agilityRapidly surfaced relevant insightsCustomer experience & trustPersonalized client communications at scaleScale & capacityOptimized advisor-client pairingSustainability & ESGAligned investments with sustainability preferences

Catalog median for customer experience deployments: +69.5% across 96 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

  • 1Internal Conversational AI Search Agent for Financial Advisors
  • 2Personalized Client Recommendation System
  • 3AI-Based Client-Advisor Lead Allocation
  • Financial advisors spent excessive time searching through hundreds of thousands of documents for relevant insights.
  • Difficulties in personalizing client communications at scale across a large advisor network.
  • Investors struggled to assess the societal or environmental impact of their portfolios due to lack of standardized metrics.
  • Need to improve recruiter-advisor lead allocation for higher conversion rates.
  • Deployed GPT-4-powered internal chatbot via Azure OpenAI to surface relevant insights in seconds.
  • Rolled out Next Best Action recommendation engine, now powered by machine learning, to personalize client communications.
  • Introduced LeadIQ platform utilizing machine learning to optimize advisor-client pairing.
  • Launched the patented Morgan Stanley Impact Quotient tool to align investments with client sustainability preferences.
  • Reduced information retrieval time for over 16,000 financial advisors.
  • 90% adoption rate of the Next Best Action AI system among brokers as of mid-2022.
  • 98% client satisfaction rate regarding advisor interactions as of Q2 2021.
  • Accelerated scaling and efficiency in client engagement and sustainable investment offerings.
Implementation partners1
Sources & evidence1
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  • Cited source last checked Jun 1, 2026 — ok (0/1 broken).

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