How Relationship Managers (RMs) Are Really Managing Large Client Books

“Over 1,000 clients?! How do you manage that?” I asked.

“Filter by AUM, largest to smallest, on Excel,” they replied, as if this was completely normal.

I’ve thought about that answer a lot since. Not because it was shocking, but because it wasn’t. After more than ten years in banking, it captured something I’d seen play out across institutions in different markets, at different scales. The tools change. The underlying problem doesn’t.

Even 100 clients is a lot. It’s genuinely not an easy job.

What the role actually looks like from the inside

Relationship Managers are asked to do something that sounds straightforward but is structurally difficult: maintain meaningful, personalised relationships with a large number of clients simultaneously, while staying on top of market movements, compliance requirements, and the individual circumstances of every person in their book.

In practice, most RMs are operating with memory, spreadsheets, and CRM systems that weren’t designed for their actual workflows. The RM who filters by AUM isn’t being lazy. They’re making a rational prioritisation decision with the tools available. They know they can’t give equal attention to every client, so they start where the consequences of missing something are biggest.

The clients in the middle of the book tend to get the least attention. Not because the RM doesn’t care. Because there’s no system telling them who in that middle tier needs a conversation today.

What RMs actually told us

We surveyed over 100 relationship managers on their work and their views on AI in wealth management. Some findings were expected. Others weren’t.

RMs aren’t afraid of AI. That narrative didn’t show up consistently. What showed up instead was frustration. Frustration that the tools available don’t reflect how they actually think about client relationships. Frustration that AI in most institutions is either too generic to be useful or too rigid to fit a real client conversation.

What they described wanting wasn’t automation. It was augmentation. A system that could hold the context of a client relationship across time, surface what matters without burying it in noise, and still leave the RM in the position of making the actual call. The judgement, the relationship, the conversation: those stay with the RM. What they want help with is knowing where to direct their attention.

An RM who feels replaced by a tool will route around it. An RM who feels supported by one will use it consistently. The difference is almost entirely in how the tool is designed.

The visibility problem

One finding stood out. The RMs who felt most stretched weren’t the ones with the most clients. They were the ones with the least visibility into which clients needed attention right now.

Most institutions address RM overload by reducing client numbers, adding headcount, or automating routine tasks. These help at the margin. But none address the core issue: RMs often don’t have a clear picture of which clients have changed circumstances, which haven’t been contacted in too long, or which ones received a communication that probably raised a question they haven’t asked yet.

A client who had a significant life event three months ago and hasn’t heard from their RM is a relationship at risk. An RM managing 200 clients can’t hold all of that in their head. The ones relying on memory and intuition alone are the ones who feel most overstretched, regardless of book size.

Visibility doesn’t mean surveillance. It means giving RMs the right signal at the right time: this client, today, for this reason.

The question worth asking

The AUM filter on a spreadsheet is a symptom, not a cause. It tells you the RM has more clients than they can hold in active attention, and that no better prioritisation system exists in its place.

Most wealth institutions have invested in CRM systems, compliance tools, and reporting infrastructure. Far fewer have invested in the layer that sits between all of that data and the RM: the intelligence that turns raw client information into actionable signals, in a form the RM can actually use.

The future of wealth advice probably isn’t about serving more clients per RM. The economics will push in that direction regardless. What will separate the firms that do it well from the ones that don’t is whether their RMs have the visibility to make sure no client gets managed on autopilot.

Not every client needs the same attention at the same time. But every client deserves to be known.

Most wealth institutions have the data. What’s missing is the layer that turns it into something an RM can act on — one governed place where client context, house views, and relationship history live, so every advisor can show up to every conversation knowing what matters. That’s what Nextvestment builds. See how it works.