Private banking has always been, and will remain, a relationship business. Clients continue to value the judgement, discretion and personal understanding of a relationship manager who knows their circumstances and can help them navigate complex decisions. While technology hasn't changed that, it has changed how those relationships are experienced, with clients increasingly judging their private bank not only by the quality of advice they receive, but also by the speed of a response, the relevance of market updates, the ease of using digital channels and the quality of communication between meetings.
Client expectations have become more fragmented
Clients increasingly expect institutional expertise, personalised advice and seamless digital access as part of the same experience. They still value speaking to an adviser when making significant portfolio, succession or liquidity decisions, while also expecting timely market insights, immediate access to information and communication through the channels they use every day.This shift is being accelerated by the great wealth transfer.
Capgemini estimates that US$83.5 trillion will pass to younger generations by 2048, with its research showing that the next generation places greater emphasis on digital engagement and personalised advice.
Content has become part of the relationship
Every day, chief investment offices publish market outlooks, research teams produce analysis, product specialists develop investment ideas and marketing teams create a steady flow of client communications.The real challenge is getting that knowledge into the hands of relationship managers in a way that's useful.
An RM doesn't simply need a research report; they need to know what matters, who it matters to and how best to share it. One client may appreciate the full report, another a short summary before a meeting, while someone else may engage more with a chart or a brief message.When that process depends on individual effort, the client experience inevitably varies. Some clients hear regularly from their adviser with relevant, timely insights.
Others receive generic communications or hear from the bank only when a review is due.Used well, content actually helps relationship managers stay connected to clients between meetings, opens the door to better conversations and demonstrates that the bank understands what's most relevant to each individual.
The relationship manager's role is changing
Relationship managers are already under considerable pressure as they are expected to manage larger books, respond quickly, maintain detailed client knowledge, coordinate with internal specialists and meet demanding regulatory and administrative obligations. McKinsey estimates that the United States could face a shortage of roughly 100,000 advisers by 2034 if current productivity and workforce trends continue.
It argues that wealth managers will need to improve adviser productivity materially, including through better support, technology and the redesign of everyday workflows.AI-assisted tools can help an RM retrieve internal research, summarise documents, prepare meeting briefs, structure notes and draft client follow-ups. These are high-volume activities that consume time but do not, on their own, represent the highest value of the relationship.
AI should strengthen human judgement, not attempt to replace it
Research into human and AI collaboration in financial advice also supports a combined model. Here are some examples of how leading private banks are approaching AI:
| Private bank | AI initiative | Primary use case |
|---|---|---|
| Morgan Stanley | AI Debrief + GPT-4 assistant | Meeting summaries, action items, draft emails, research retrieval |
| UBS | GenAI assistants and Microsoft Copilot | Research, adviser productivity, internal knowledge search, document drafting. UBS has also rolled out firm-wide AI training (“AI Power Hour”) to encourage practical adoption. |
| J.P Morgan Private Bank | Firm-wide generative AI rollout | Investment banking and wealth teams use AI for pitch books, document preparation, coding assistance, market research and workflow automation. The bank now has hundreds of AI use cases across fraud detection, client servicing and adviser productivity. |
| Bank of America Private Bank | Erica for Employees + internal GenAI | Internal AI assistant helping advisers search policies, answer operational questions, prepare client information and reduce administrative tasks. AI is also used across fraud detection and customer service. |
| Goldman Sachs Private Wealth Management | Generative AI copilots | Assisting bankers with drafting, coding, document analysis and research while maintaining human oversight. AI is embedded into employee workflows rather than replacing client interactions. |
| Julius Baer | AI-powered relationship management | Investing in AI to support relationship managers with client insights, operational efficiency and personalized wealth management experiences, alongside broader digital transformation initiatives. |
Across the industry, the conversation has shifted from whether to use AI to where it adds the most value. In private banking, that usually means supporting advisers rather than replacing them, because many client decisions involve family dynamics, tax considerations, business interests and personal priorities that extend well beyond financial data.
The focus is shifting to giving advisers better tools
Much of the last decade focused on client portals, digital onboarding and mobile banking. Those capabilities remain important, but attention is increasingly shifting to the tools that support relationship managers.That includes easier access to approved research, AI-assisted meeting preparation, connected client data, collaboration with investment specialists, governed personalisation and better engagement analytics.The real opportunity lies in bringing together research, client data, communication and relationship management into a more connected experience.
Supporting better client relationships
It is an adviser who can access the right institutional knowledge more quickly, prepare more effectively, communicate more consistently and understand more about what clients find relevant. However, the quality of human judgement remains central.
What changes is the amount of operational friction surrounding it. This is where Upscale fits.
Upscale helps private banks modernise how institutional expertise becomes adviser and client engagement. Its AI-powered engagement technology supports content creation and adaptation, intelligent sales enablement, governed distribution and the measurement of client interaction across channels.Technology shouldn't create more distance between relationship managers and their clients. It should remove some of the work that happens behind the scenes, giving advisers more time to prepare, communicate and focus on the conversations that matter most.
Upscale helps private banks modernise client engagement
Its AI-powered engagement technology supports content creation and adaptation, intelligent sales enablement, governed distribution and the measurement of client interaction across channels.
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