Morgan Stanley brief
Meeting prep · MS · Diamond · Laura.Astorino

Morgan Stanley

Wealth-led model ($10T client asset goal) with AI for advisors at scale

Ted Pick

CEO · Executive on file
Relationship
Not mapped
Likely agenda
Enterprise-wide priorities
Account health
44 Build · about $39M of planned deals (est.); Diamond account; 2 plans not yet started

Their priorities

  • Ted Pick is pursuing $10T in client assets across wealth and investment management, built on E*TRADE, workplace (Shareworks) and advisor channels. unverified
  • AI for advisors. AI @ Morgan Stanley Assistant and Debrief (meeting notes) use OpenAI models. Morgan Stanley was an early, high-profile OpenAI enterprise partner. unverified
  • An "integrated firm" that cross-sells institutional and wealth. unverified

Last earnings call (Q3 2026): AI & automation, Efficiency & cost, Wealth & asset mgmt, Organic growth. AI framed as an efficiency, productivity and resiliency tool that is changing what teams do.

Recent news

Talking points

  • Advisor productivity at $10T scale. Next-generation AI for advisors means agents that act (prep, follow-up, compliance), not just summarize.
  • AML and KYC in wealth is a known scrutiny area. Position onboarding and KYC automation.

Plays to raise

  1. Advisor and agentic AI platform build-outAI & agentsIdentified
    Why now: Ted Pick is pursuing $10T in client assets across wealth and investment management, built on E*TRADE, workplace (Shareworks) and advisor channels.
    Ask: A 6-week advisor productivity sprint: shadow 10-20 advisors, quantify time lost to admin, and ship one gen-AI assistant feature (meeting prep or follow-up) into a pilot branch.
    Deal range (est.) $8M–$25M · proof points
  2. Client onboarding and AML/KYC modernization in Wealth ManagementRegulatory & riskIdentified
    Why now: Ted Pick is pursuing $10T in client assets across wealth and investment management, built on E*TRADE, workplace (Shareworks) and advisor channels.
    Ask: A 6-week controls and operations diagnostic: baseline alert volumes, backlog and cost per case, then pilot AI-assisted case triage on one queue with model-risk documentation regulators can read.
    Deal range (est.) $10M–$35M · proof points

Watch-outs

  • Other firms at the account: Infosys, Deloitte, McKinseymentions unverified
  • Market volatility, AML and compliance in wealth, cyber, and model and AI risk.

Sourcing. Built from the account brief, outreach plans, tracked intel and the relationship file. Items without a source link come from model knowledge and are unverified, and deal ranges are estimates. Confirm names and roles before the meeting.