Inside WealthTech explores the technology, strategies, and partnerships shaping the future of advice—from the platforms powering the advisor tech stack to the firms redefining how growth happens in wealth management. Each episode features candid conversations with industry leaders about what it really takes to scale responsibly, serve clients better, and build enduring advisory businesses.
In this episode, filmed live at Future Proof Citywide, Envestnet’s Blake Wood, Head of Strategic Partnerships, speaks with Timothy Parker, Managing Director and CEO of Regency Wealth Management, about growing an advisory firm without losing the client relationship, and how technology, AI, and a clear service philosophy can work together to make it possible.
The white-glove model is a choice, not a constraint
Being client-first is one of the most common claims in wealth management. It's also one of the hardest commitments to operationalize.
The more a firm grows, the more difficult it becomes to deliver the kind of service that made clients choose it in the first place. That is, unless the firm has made deliberate decisions about what that service actually looks like.
For Parker, the definition is concrete: staying deeply involved in clients' financial lives beyond the portfolio, sitting alongside them during estate planning meetings, tailoring strategies around each client's tax situation and preferences, and showing up in difficult moments, not just on scheduled review dates.
“I feel like our job is to make sure the client has full confidence that we're doing everything well. And then the reality behind the curtain is that we are."
That level of relational depth is hard to replicate, especially at scale. But the discipline required to maintain it shapes everything else: how a firm evaluates technology, how it hires, and how it thinks about growth.
Through this lens, protecting white-glove service as a genuine core value isn't a constraint. It's a philosophy, and the right RIA technology infrastructure is what makes it sustainable.
Technology works best when clients don't notice it
New technology is often evaluated on what it does. But for firms built around bespoke client strategies, what changes is often the more important consideration.
Regency uses Envestnet Tamarac for portfolio management and rebalancing, creating capacity for the work that actually defines its service model: individually tailored equity positions, bespoke client strategies, and the kind of hands-on customization that rewards the infrastructure built to support it.
Whether that balance is right is something the firm revisits continuously: are they doing the right thing for the firm, and are they doing the right thing for clients? But the underlying goal doesn't shift.
“Our job is to keep up with technology, to keep looking for the right tools, the right things, so… it's just seamless for them."
The standard for any new tool is whether it creates friction for the advisor or the client, and whether it holds up against two decades of relationship-driven work. Technology that surfaces in the wrong way, as part of the client experience, undermines exactly what the firm is trying to protect.
With a lean team and more hiring underway, those infrastructure decisions carry real weight. For firms at this stage of growth, the technology layer either enables the service model or erodes it.
The AI conversation has moved from “why” to “how”
AI in wealth management has made the transition from obscure conference topic to real-world deployment. Advisors are no longer debating whether to adopt it—they're working through where it fits into their workflows.
General-purpose tools like ChatGPT and Google Gemini have practical applications for quick research, but a more meaningful shift is purpose-built AI that integrates directly with a firm's CRM and financial planning software.
When implemented well, meeting preparation becomes largely automated: client data is aggregated in advance, a structured briefing is ready before the conversation begins, notes are captured during the meeting, and follow-up tasks are generated and routed into the firm's workflow without manual entry.
“Here's all this meeting prep. After the meeting, it tells you the summary of the meeting, gets right into the CRM, and then it puts all the things together that need to be done."
That kind of implementation reduces administrative load and creates space for higher-value work. The operational side runs in the background; the advisor stays focused on the client. And while we haven’t seen clients arrive at meetings with AI tools of their own, that may change. The shift will play out on both sides of the advisor-client relationship, not just inside the firm.
What doesn't change is the underlying requirement. AI tools need to be safe and validated before they can serve a fiduciary context. Responsible adoption starts there.
Fee compression is a myth, but pressure on advisors is real
Fees in wealth management haven't followed the trajectory the industry long predicted. What's actually shifting is the standard of what advisors need to deliver to justify those fees.
AI closes some of the information gap between advisors and self-directed investors, but it doesn't close the relationship gap. That asymmetry is what keeps personalization at the center of the value proposition. The advisors who fall behind won't be priced out; they'll be outperformed by peers who used available tools to do more for clients.
“We've got to use tools that are available, that are safe, that we can trust, that help us maybe not do what we're doing better, but add more value in different ways."
That reframing extends to the advice model itself. The industry is settling somewhere between AUM-based and flat-fee structures, with the determining factor being not price pressure but what advisors can credibly demonstrate they're worth. Firms that deliver holistic, planning-centered service will have more pricing flexibility, not less.
What’s going away, eventually, is lazy heuristics. The "100 minus your age" approach to equity allocation treats age as a stand-in for risk tolerance rather than engaging with each client's actual situation. It's a blunt-instrument rule that a more capable, relationship-driven advisory model makes obsolete.
Rapid-fire reflections
As part of Inside WealthTech's speed round, Parker offers quick takes on topics shaping the future of advisory firms:
- Future advice model: "I'm between AUM and flat fee. But I think the flat fee is going to be based on the value you bring... if we go to a flat fee, I don't know that people are going to be paying less."
- Performance vs. personalization: "Personalization. No question."
- Tech stack approach: "Streamlined simplicity... if we can layer things on top and have a great user interface and we can tap into the best other tools, I think that's what's going to end up being the winner."
- Role of alts: "It is a diversifier. I think there's going to be some tears along the way. But it's a diversifier, and we're using those."
- One thing wealth management should leave behind: The "100 minus your age" rule. "Everybody is different. Everyone has a different risk tolerance. It's the worst rule of thumb."
The consistent thread is a preference for clarity over convention: on fees, on technology, and on how portfolios should be constructed.
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