Wealth management’s overlooked client base

Smaller accounts were never really a question of demand. They were a question of delivery.

For most advisory firms, the challenge was not whether younger or less wealthy investors wanted professional portfolio management. It was whether the firm could provide it without absorbing the same operational burden required for far larger households. Onboarding, compliance, rebalancing, trade execution, and tax management did not become simpler because the account was smaller. The service model stayed largely the same. The revenue did not.

Fragmented oversight and a rising cost base have steadily pushed personalized advice further out of reach for many households, even as digital tools have proliferated. Apps and platforms have expanded access to information, but closing the gap between information and personalized guidance is a different challenge entirely.

That is what Sarah Calderon, engineering manager at Pave Finance, set out to work against when she moved from large-scale engineering roles into wealth technology. What drew her in, she says, was less the product itself than the gap it exposed: investors were not asking for a simplified version of advice. They wanted the same sophistication, regardless of how much they had to invest.

“I remember thinking morally that I wanted to align myself with the mission,” she says. “The idea of bringing the accessibility of investing that the 1% has to those of us who have less.”

An economics problem, not a client problem

The industry has often described smaller accounts as a segmentation issue. In practice, Calderon sees it more plainly.

“The cost of serving any client is pretty high, and it doesn’t shrink just because the account is smaller,” she says. “You still have to onboard them, stay compliant, and manage their portfolio.”

That fixed cost structure has shaped advisory models for decades. Minimums, often around $100,000, were not arbitrary thresholds so much as breakeven points. Below them, the revenue generated by an account struggled to cover the labor and infrastructure required to maintain it.

The consequence was not just exclusion, but capacity. Advisors could serve a limited number of households well, and those households tended to be the ones that justified the time. Smaller accounts did not just represent lost revenue; they competed for the same bandwidth.

“If someone has around $50,000 in their account and an advisor is only making a few hundred dollars a year, it’s just not profitable under that traditional model,” Calderon says.

What is changing now is less about redefining who qualifies as a client and more about reducing the amount of work required to serve one.

Reassigning the work, not removing it

A significant share of portfolio management, Calderon argues, has always been procedural.

Rebalancing portfolios, monitoring for tax-loss harvesting opportunities, executing trades, and maintaining model allocations follow defined rules.

Historically, those processes were handled manually, or semi-manually, which limited how many accounts an advisor could realistically manage.

“I frame it as automation should handle everything that needs to happen but doesn’t require human judgment,” Calderon says.

Take portfolio rebalancing,” for example, “there’s a right answer every single time. You codify the logic, the machine can execute that.”

Tax-loss harvesting follows the same logic, she adds, but with an extra layer of urgency since      “now it’s even more important that a machine is doing it because the monitoring has to be continuous and coordinated across all of a client’s holdings.”

Research cited by Pave suggests advisors can spend close to 18 hours a week on operational tasks alone, time that does not scale as client rosters grow.

Automation shifts that balance. It becomes more relevant in a market where volatility has made outcomes less predictable and client expectations around downside management have risen. The margin for delay, or inconsistency, is narrower.

What changes is not the existence of the work, but who performs it. The technology evolves, but, as Calderon puts it, “the soul of the industry remains unchanged.” Advisors are freed from maintaining the system and can focus on interpreting it, helping clients navigate decisions that cannot be reduced to rules.

A broader pipeline, not a different product

One of the more persistent assumptions around smaller accounts is that they require a simplified version of wealth management. Calderon pushes back on that.

Pave runs the same optimization engine  across all accounts, regardless of size. Calderon highlights, “Whether someone has $10,000 or $10 million, they’re getting the same system, the same optimizations, the same level of sophistication.”

That consistency begins to change the economics. Once Pave’s infrastructure is in place, the incremental cost of adding another account falls materially. What was previously a marginal relationship can start to look viable at scale.

“Once that infrastructure exists, the cost of serving the 10,000th account is basically the same as the first,” Calderon says.

“Right now, about 30% of our accounts are under $50,000, and roughly 42% are under what most RIAs wouldn’t even take a call for. And this isn’t a stripped-down service. It’s the same service we use for everyone.”

The question of commoditization comes up frequently. Calderon does not see it as a threat.

“Rebalancing and trading shouldn’t be a competitive differentiator. That’s infrastructure,” she maintains. Pave’s role is not to replace the advisor but to serve as the operational backbone that frees them to do what technology cannot. The judgment, strategies, relationships, trust all remain entirely human.

What remains differentiated is not execution, but advice.

“The point of the advisor is to talk someone off the ledge during a market crash,” she says. “Or understand that someone is going through a divorce and their whole plan needs to change. None of that is something you can automate.”

For advisory firms, the implication is less about expanding into a new segment and more about reconsidering one that was already within reach. Younger investors and smaller accounts, long treated as future opportunities, begin to take on a more immediate role in building AUM and long-term relationships.

“I think the goal is that a 28-year-old teacher with $15,000 in savings gets access to the same quality of portfolio management as someone with $15 million,” Calderon says.

“That’s the breakthrough.”

This article has been produced in partnership with Pave Finance