AI in banking

The hybrid advisory model: How to make the affluent segment profitable

24 June 2026
3
mins read

The affluent segment is the largest profit pool in wealth banking, yet most universal banks are not capturing it. The clients are there - sitting in retail apps with growing balances and no meaningful wealth proposition in sight - but the economics of serving them have never worked under a traditional advisory model.

A dedicated relationship manager covering 150 clients at €100K to €5M in assets is an expensive way to serve a segment that generates modest revenue per client.

The math does not work, so most banks default to a retail service model with a wealth label on it, and the segment leaks to platforms that built their entire proposition around exactly this gap.

Hybrid advisory is the model that changes those economics. Rather than choosing between the high-cost dedicated RM model built for private banking and the low-touch standardized model built for retail, hybrid advisory augments both sides of the relationship.Β 

This gives the client a richer self-service experience than retail offers and gives the advisor the tools to serve significantly more clients without the coordination burden that makes the segment uneconomic today.

The client experience

The affluent client does not want to be managed like a retail customer or wait for an annual review like a private banking client. They want a richer self-service experience than the retail app offers, with human expertise available when a decision warrants it.

The Banking OS delivers that through advanced portfolio analytics, Digital Advice Proposals, and video banking embedded in the app the client already uses. The affluent client can track their portfolio, model scenarios, and receive personalized investment recommendations without picking up the phone.

When they do need an advisor, the interaction is informed by everything the platform already knows about them, so the conversation starts where it should rather than from scratch.

The advisor experience

The advisor side of hybrid advisory is where the economics change most dramatically. A relationship manager running a shared remote pool cannot serve 450 clients by working harder. They can do it when the operating model absorbs the coordination work that currently consumes most of their day.

  • Smart Signals surface the clients who need attention before the advisor goes looking - flagging portfolio drift, life events, and cross-sell signals that would otherwise be missed across a book of hundreds.Β 
  • Meeting Prep agents deliver a tailored briefing before every interaction, pulling together portfolio performance, recent activity, and relevant recommendations so the advisor walks into every conversation prepared.Β 
  • Digital Assist handles the operational work - document processing, compliance tasks, and recertification within guardrails the advisor controls.

The result is that 150 engaged clients per advisor becomes 450, and AUM per hybrid advisor moves from €60M to €150M. The segment that was uneconomic under a traditional model becomes the growth engine the bank always knew it should be.

The affluent segment as a growth lever

The coordination tax that made the affluent segment uneconomic does not disappear on its own. It disappears when the operating model absorbs it - and hybrid advisory is where that absorption starts.

Every affluent client served well is accumulating assets toward the private banking threshold, and every advisor interaction is an opportunity to deepen the relationship that will determine whether that client consolidates their wealth with the bank or takes it elsewhere when they cross €1M.Β 

The hybrid model that scales the affluent segment feeds the private banking pipeline directly, and the bank that gets this right at €100K is the bank that retains the relationship at €2M.

Free advisors to focus on relationships, not admin tasks
About the author
Backbase
Backbase pioneered the Unified Frontline category for banks.

Backbase built the AI-native Banking OS - the operating system that turns fragmented banking operations into a Unified Frontline. Customers, employees, and AI agents work as one across digital channels, front-office, and operations.

Backbase was founded in 2003 by Jouk Pleiter and is headquartered in Amsterdam, with teams across North America, Europe, the Middle East, Asia-Pacific, Africa and Latin America. 120+ leading banks run on Backbase across Retail, SMB & Commercial, Private Banking, and Wealth Management.

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