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Company focus

UBS
Product Design Medium Member-only

Design an AI meeting-preparation assistant for UBS wealth management client advisors.

Prepared by NextSprints

14 mins
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Enterprise AI Design Stakeholder Management Risk Management Wealth Management Banking Artificial Intelligence Wealth-Management Generative-Ai Ubs Advisor-Tools
Product Management Product Design Question: AI meeting preparation assistant for UBS wealth advisors

Introduction

UBS has rolled out its in-house generative AI assistant, Red, and Microsoft 365 Copilot across the firm, and its US wealth business already uses client-intelligence tools that alert financial advisors to life events before meetings. The prompt asks us to design an AI meeting-preparation assistant for UBS wealth management client advisors. For a bank whose largest business is Global Wealth Management, advisor productivity is a core product problem: an advisor who spends less time assembling information spends more time with clients.

I'll clarify the scope, explain why this matters now, pick a user segment, identify pain points, propose and prioritise solutions, and define success metrics.

Tip

Clarify early that the user is the advisor, not the end client. Many candidates drift into designing a client-facing chatbot.

Step 1

Clarify Questions (3 minutes)

  • Which advisors are we designing for: Swiss client advisors, US financial advisors, or Asia relationship managers?

  • Why it matters: Data sources, regulations and meeting formats differ by region.
  • Hypothetical answer: Start with Swiss and European client advisors in Global Wealth Management.
  • Impact: Design must respect Swiss banking secrecy, data residency and cross-border rules.
  • What data can the assistant access?

  • Hypothetical answer: The CRM, portfolio and transaction data, CIO research, past meeting notes and email, all within UBS's controlled environment.
  • Impact: The assistant can personalise deeply, but must log sources and respect entitlements.
  • Can the assistant contact clients directly?

  • Hypothetical answer: No. It drafts material for the advisor; every client-facing output is reviewed by a human.
  • Impact: We design a co-pilot, not an autonomous agent.
  • How is success judged by the business?

  • Hypothetical answer: More client time per advisor, better meeting quality and net new money.
  • Impact: We need both productivity and revenue metrics.

Propose the Goal

Reduce the time a UBS client advisor needs to prepare for a client meeting by at least half, while making each meeting more relevant to the client's situation and fully compliant.

Define the Scope

In scope: preparation before scheduled review meetings and follow-up after them. Out of scope: trade execution, automatic client communications and investment banking coverage.

Tip

State the human-in-the-loop principle explicitly. In regulated banking, interviewers look for it.

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Updated Oct 31, 2026