Scalable WealthTech: How RIAs can grow without losing the advisor-client relationship

Growth introduces a quiet risk many advisory firms underestimate: fragmentation.

As teams expand through hiring, new offices, or acquisitions, systems multiply. Data splinters across platforms. Work spreads across more roles. Client context becomes harder to preserve. The impact is rarely dramatic, but it is measurable: slower response times, less consistent execution, and more “let me get back to you” moments.

Clients don't experience this as an operational issue. They experience it as a loss of attention, continuity, and confidence.

The firms that scale well make the same move early: they reduce fragmentation on purpose, to keep client relationships intact. That means a single source of truth, repeatable workflows, and wealthtech that connects the work instead of adding more layers. The payoff is advisor capacity, more consistent execution, and more time for judgment-led planning.

Here’s how that plays out in practice–drawing on real examples from RIAs scaling with integrated platforms across trading, rebalancing, tax management, segmentation, AI readiness, and M&A integration.

In partnership with AssetTV, I had the opportunity to sit down with Envestnet | Tamarac clients Vikram Chugh, Chief Operating Officer at Robertson Stephens and Sean Conway, Head of Private Client Operations at Curi Capital in a discussion focused on growth, but returned to a more practical question: what should scale feel like inside a high-touch RIA?

The answer depends on the operating model and whether the firm reduces friction and preserves advisor capacity as complexity increases.

Use wealthtech to buy back advisor time

During the conversation, the same pattern came up again and again. First, firms have to standardize the repeatable, so advisors get time back.

For Robertson Stephens, the point of a modern platform isn’t more activity. It’s more client-facing time.

“It’s ultimately about giving advisors time back in their day so that they can spend more time with their clients and prospects,” Chugh said.

For Curi Capital, they approach it from the service side. Segmentation can shape the delivery model, but it shouldn't lower the standard of care.

“No matter what bucket you’re in, you’re getting high-touch service,” he said, warning against treating scale as permission to dilute the experience.

 Scale breaks in predictable places: operations, complexity, and integration.

Focus on automating repeatable tasks

Most firms need more capacity, not more ambition.

Operational efficiency matters because it determines what advisors do with their best hours. When the day is consumed by repeatable work, clients get less proactive attention and teams get less coaching. Over time, growth starts to create distance.

In an RIA, the “repeatable” bucket is larger than many leaders expect: account setup and transitions, data cleanup, trading and rebalancing workflows, routine reporting, service requests shouldn’t require an advisor’s judgment every time.

That’s where focus becomes a scaling strategy. I challenge firms to decide what they want to be exceptional at, then stop using scarce talent to run commodity processes in-house.

When advisors remain stuck in repetitive work, the cost isn’t just payroll — It’s a missed opportunity for proactive planning, business development, and deeper client relationships.

As I often challenge firms: decide what you want to be exceptional at and stop using scarce talent to run commodity processes in-house.

Technology allows for more complexity from HNW clients

High-net-worth clients reveal whether an operating model is durable or aspirational.

The complexity isn’t just larger accounts. It’s incomplete balance sheets, multi-entity structures, estate documents, embedded gains, and competing priorities across family stakeholders. It’s also the coordination burden: more specialists, more moving parts, and less tolerance for delays or rework. No single advisor can be the expert in every dimension.

“We always start with building a complete wealth picture for their clients,” Chugh said. “We work with their CPAs, their estate planning attorneys, and ultimately the goal is that we work with these partners as a team.”

That coordination burden is exactly where a team-based approach becomes essential. For HNW clients, operational gaps don’t look like ops gaps. They look like missed context.

Don't let manual work break the team

Direct indexing and tax overlays are where theory becomes operational reality.

The strategy is compelling, but the execution burden can get heavy fast, especially when accounts arrive funded with in-kind securities, concentrated positions, or highly specific tax constraints.

There is a moment when many advisors throw their hands up and say, ‘We can’t do this manually anymore.”

That moment isn’t an investment failure. It’s a teaming failure.

When workflows depend on heroic manual effort to stay tax-aware, aligned to the target, and properly implemented across sleeves, the client experience becomes brittle at exactly the wrong moment.

Segment clients without cutting care

Different clients require different levels of complexity management, but not different levels of care.

“We have a wealth builder business unit,” Conway said. “We also have our wealth management business… and then the last bucket that we have are the family office clients.”

Standardize what should be standardized

It’s not whether clients receive attention. It’s which services they need at their stage, how often the plan must adapt, and how bespoke the implementation needs to be.

This approach is a practical way to preserve quality while growing: standardize what should be standardized, and reserve bespoke work for the situations that truly require it.

The RIA tech stack should feel like one place

Adding teams, clients, and revenue doesn’t create scale on its own. Scale only happens when complexity is absorbed into a single operating model.

If the tech stack forces advisors to hunt, copy, and stitch together information, it will be used unevenly. That creates risk and inconsistency.

For a client like Robertson Stephens, it is all about platform choices. Envestnet | Tamarac has been part of making model delivery and trading workflows more scalable across advisor teams.

“We’ve had great success leveraging Tamarac trading and rebalancing,” Chugh said. “Our investment team produces model portfolios, and we leverage Tamarac to scale those model portfolios.”

He also pointed to breadth as a practical advantage, especially when onboarding advisor teams and standardizing operations.

“We’re leveraging the UMA platform from Envestnet as well,” Chugh added. “When we’ve transitioned advisor teams over to our firm, we’ve leveraged Envestnet capabilities in that regard as well.”

Conway described the same theme from the buyer’s seat. It’s not only about feature checklists. It’s about alignment on where the stack is going, and whether the vendor’s roadmap matches the firm’s operating vision.

“It meant a lot when the Envestnet team came to Chicago, sat down with us, we discussed our vision, discussed the vision for Envestnet,” Conway said.

He also highlighted the specific tools Curi is putting into practice, including Tamarac Trading, Envestnet’s UMA Platform and MoneyGuide, with an emphasis on making the advisor experience more seamless.

Adoption is the real integration. If advisors have to hunt, they won’t scale.

AI only works when the data already lives in one place

With AI solutions quickly filling the market with new vendors, firms raise growing the risk of adopting tools without a clear operating and IT vision.

“There’s so many solutions… we see an AI pitch, we fall in love with it,” Conway said. “Then you have to take a step back and make sure, does this actually fit in our IT vision?”

For firms growing organically or through M&A data hygiene is a silent growth hindrance.

“If you have garbage data and you apply an AI agent on top of it, your results are just not going to be helpful,” Conway added.

AI is not about replacing advisors. It’s about turning the firm’s data into earlier signals, better prioritization, and more proactive outreach, so advisors can get ahead of issues clients have not yet surfaced.

“We’re generating massive amounts of data across all our systems,” Chugh said. “In an ideal world, we would be able to… get to clients with issues that they’ve not thought about yet.”

M&A integration needs one stack and a clear playbook

AI and M&A integration are often discussed separately, but in practice they surface the same issue: fragmentation. Both promise leverage — and both fail when firms try to layer new capabilities on top of disconnected systems and inconsistent data.

Acquisitions don’t create scale on their own. Instead, scale comes from standardization, conversion, and adoption, then repeating that playbook deal after deal.

“The only way you get scale in your business is if there’s one tech stack,” Chugh said.

Conway echoed the change-management side of the equation. Incoming teams don’t just need new tools. They need a platform they’ll actually use. When the post-merger experience is clearly better than patchwork, standardization becomes easier to sell and easier to sustain.

“We want them to feel the advantage of being able to use this platform we’ve created,” Conway said. “That includes the tech stack… the systems and the integrations we’ve tied together.”

This is where wealthtech should serve as a growth lever, not only a cost center. A unified stack reduces fragmentation, accelerates onboarding and training, and makes service delivery more consistent as the firm expands.

Be great at your edge, partner for the rest

I see it every day – firms win when they decide what their edge is, then use partners to support the rest. That’s how to avoid building an organization that’s busy but not differentiated.

In practice, this is what keeps a high-touch firm high-touch as it grows. Advisors spend less time on tasks that don’t require their judgment. They spend more time on the conversations that clients remember.

In the end, Conway put the human point back on the table: Scale isn’t the reason clients stay. Trust is. “Relationships are why we’re doing this,” he said.

“Embrace technology,” added Chugh. “It will take investments, it will take time… but when you’re on the other side of the journey, you will see significant benefits.”

Scale isn’t a growth tactic, it’s a service discipline.

Firms that grow without losing the relationship standardize the repeatable, keep truth in one place, and invest in systems that make complexity manageable. That’s what enables the real differentiator in a high-touch RIA: proactive attention, consistent execution, and time for judgment-led planning.


See how other advisory firms are using Envestnet’s adaptive wealthtech to grow their business. Schedule a demo to learn more.


The information, analysis and opinions expressed herein are for informational purposes only and do not necessarily reflect the views of Envestnet. These views reflect the judgment of the author as of the date of writing and are subject to change at any time without notice. Nothing contained in this piece is intended to constitute legal, tax, accounting, securities, or investment advice, nor an opinion regarding the appropriateness of any investment, nor a solicitation of any type.

 

There are risks inherent in AI technology and its application in the financial sector, including embedded bias, privacy concerns, outcome opaqueness, performance robustness, unique cyberthreats, and the potential for creating new sources and transmission channels of systemic risks. Trends or potential transactions identified by AI are for informational purposes only and are not to be construed as an instruction to take any specific action. Envestnet, Inc. and its subsidiaries and affiliates are not responsible for any decisions or recommendations you may provide to your clients.

 

Robertson Stephens, Curi Capital and Envestnet are separate and unaffiliated firms. This material should not be construed as a recommendation or endorsement of any particular product, service, individual or firm.

 

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