Wealth AI
Role
VP, Product Designer
Team
- 1 Lead Product Manager
- 2 Product Designers
- 3 Engineering Leads
Platforms
- Web App
- Advisor Desktop
Goldman Sachs PWM advisors were drowning in fragmented tools, manual workflows, and data they couldn't act on fast enough. Wealth AI is the platform we built to change that — embedding intelligent, trustworthy AI directly into the tool 2,400 advisors already live in every day.
Problem Statement
How might we bring the power of AI to 2,400 wealth advisors — without disrupting the workflows they depend on, or introducing the kind of hallucination risk that financial services simply can't afford?
Impact
1.5Trillion
AUM
3,000+
Users
Background
Goldman Sachs PWM manages $1.5 trillion in assets.
The firm has a myriad of internal tools to help sales teams manage their day-to-day — but the central tool used on a daily basis is Concert.
Concert (also known as Advisor Desktop) is used by approximately 2,400 global PWM sales team members and support staff across Private and Asset & Wealth Management. It helps them review top accounts, holdings, transactions, documents, banking, and tax details, among many other features. It is their primary tool to manage clients and their needs.
Concert was introduced over 10 years ago to replace a suite of fragmented, legacy tools. While significant progress has been made toward centralization, there remains substantial room to consolidate, simplify, and modernize the platform.
To understand the true scope of the problem, I shadowed with advisory teams — observing workflows, documenting the pain points of their current tools, and mapping every tool handoff in a typical advisor's day. What we found was striking: advisors were context-switching between 10+ tools before a single client conversation, spending as much time preparing to work as actually working. That diagnostic became the foundation for everything we designed.
PWM Concert users comprises primarily of three personas.
Private Wealth Advisor (PWA)
Ensures client satisfaction through consistent returns and unmatched customer service, grows their business by bringing new clients into the firm and manages an efficient and profitable team.
Primary Functions: Client Engagement, Prospecting, Portfolio Analysis
Financial Analyst (FA)
Responsible for building, analyzing and actioning client portfolios. They split their time between researching investment opportunities, analyzing performance and managing the execution of portfolio strategies.
Primary Functions: Portfolio Analysis & Execution, Money Movement
Wealth Management Professional (WMP)
Manages all aspects of client relationships from onboarding to managing client liquidity needs. Serves as front line support for any client requests
Primary Functions: Onboarding & Account Maintenance, Client Data Management, Client Engagement
Existing Painpoints
Platform Fragmentation & Legacy Systems
While Concert is recognized as the primary tool, there are still 10+ tools teams need to use in order to complete their day-to-day workflows.
Too Many Manual Touchpoints
Users are required to route workflows between platforms, each with its own process. All of these unique systems still require manual intervention — especially approval processes.
Data Discrepancies & Data Availability
Inconsistent or inaccurate performance data across systems, and delays in data availability, create significant challenges. Too much time is spent validating data and manually refining reports.
Opportunity & Program Goals
Optimize Wealth Management digital solutions powered by AI
Our teams spend significant time:
Navigating multiple tools
Searching for firm published content
Validating data
Gathering client insights
Translating data into action
Wealth AI presents an opportunity to:
Collapse research time
Surface proactive insights
Reduce context switching
Provide contextual workflows
Strategy
Three principles guided our design decisions on Wealth AI:
Meet advisors where they already are
The instinct with a new AI product is to build something new. We pushed back on that. Launching Wealth AI as a standalone tool would have created exactly the problem we were trying to solve — another system to navigate, another context switch. Instead, we embedded it directly into Concert, the platform advisors already trusted. AI became an extension of their existing workspace, not an addition to it.
Make AI responses feel like work, not chat
Plain-text AI responses put the cognitive burden on the user — they have to read, interpret, and then figure out what to do. We designed structured information cards, contextual links, and inline workflow triggers so that every AI response arrived pre-digested and immediately actionable. The goal: zero distance between insight and action.
In financial services, trust is the feature
Hallucination isn't just a UX problem in wealth management — it's a regulatory and fiduciary one. We implemented deterministic intent handling that routes user queries to predefined, verified workflows rather than relying on generative guesswork. The system doesn't guess; it executes. That distinction was non-negotiable, and it shaped every AI interaction pattern we designed.
Highlighted Feature
Conversation History
Advisors manage dozens of active client relationships simultaneously, often returning to research threads days later. Without persistent history, every session started from zero — re-establishing context, re-running queries, losing continuity.
We designed conversation history to make Wealth AI feel less like a search tool and more like a collaborator that remembers.
Highlighted Feature
Citation Viewer
In a regulated environment, 'the AI said so' is never enough. Advisors need to be able to stand behind every insight they share with clients — which means they need to know exactly where it came from.
We designed the citation viewer so that the distance between an AI summary and its source material is one click.
Trust isn't a feature we added at the end; it was a design constraint from day one.
Outcomes
Wealth AI is currently under active development and expansion within Concert. Check back soon for launch outcomes and adoption metrics.
