Topic: Wealthtech Strategy

SEPTEMBER 2026

Wealthtech is evolving quickly. Established platforms are rolling out new capabilities, AI is being embedded into tools firms already use, and vendors are introducing new ways to automate workflows, connect data, and improve the advisor and client experience.

For wealth management firms, that creates real opportunity. It also creates pressure to keep up.

When a new solution or functionality promises to eliminate manual work, improve reporting, or give time back to the team, it can be tempting to start with the technology rather than the problem it is meant to solve.

That is where the shiny object trap begins: when an impressive feature, compelling demo, or industry trend starts driving the decision before the firm has clearly defined the need.

Avoiding that trap does not mean resisting innovation. It means being disciplined enough to make sure the technology is solving the right problem.

Start With the Problem, Not the Product

Technology decisions often begin with a visible pain point. The team is entering the same information in multiple places. Advisors are frustrated with the CRM. Alternative investment data requires too much manual work. Leadership wants to explore how AI can improve efficiency.

But a pain point does not always mean the firm needs another tool.

Before evaluating solutions, firms should identify what is actually creating the friction. Is the issue the technology itself, or is it configuration, data quality, workflow design, adoption, or unclear ownership?

That distinction matters. Sometimes a new solution is the right answer. Other times, the better move is to improve how the technology already in place is being used.

Evaluate the Ecosystem, Not the Feature

Once there is a clear case for new technology, the next question is how it will fit into the broader environment.

How will it interact with core platforms? Where will the data come from? Who will own and maintain it? What integrations or workflow changes will it require? What will advisors and operations teams need to do differently?

Every new system adds something to manage, whether that is another integration, data source, set of permissions, vendor relationship, or process. Without a clear role, new technology can create overlap and add complexity rather than reduce it.

The goal is not to have the fewest systems or the most sophisticated tech stack. It is to make sure each system has a defined purpose and that the value it adds is worth the operational lift required to support it.

AI Makes This Discipline Even More Important

The shiny object conversation has become especially relevant as firms explore artificial intelligence (AI) and automation.

The potential is significant. AI can help accelerate work, surface information, improve productivity, and create entirely new ways for advisors and operations teams to interact with data.

But AI tends to magnify whatever is already there. Automating an inconsistent process does not make it a good process. Connecting AI to unreliable or poorly governed data does not make the information more reliable.

Before asking where AI can be deployed, firms should understand the quality of the data feeding it, the workflows surrounding it, the systems involved, and the controls required to use it responsibly.

The firms best positioned to take advantage of AI will often be the ones that have already done the less exciting work of getting those fundamentals right.

Factor in the Work After the Decision

One of the easiest things to underestimate in a technology decision is everything that happens after the contract is signed. Implementation is not simply turning the system on.

Technology needs to be configured around the firm. Data needs to move correctly. Integrations need to work. Workflows may need to change. Users need training. Responsibilities need to be assigned. New processes need to become part of how the organization operates every day.

And that work does not end at launch. Platforms evolve. Teams change. Firms grow. Vendors release new capabilities. What was configured correctly two years ago may no longer reflect how the business operates today.

That is why adoption and ongoing optimization should be considered part of the technology investment from the beginning.

Build for the Firm You’re Becoming

One of the easiest things to underestimate in a technology decision is everything that happens after the contract is signed. Implementation is not simply turning the system on.

Technology needs to be configured around the firm. Data needs to move correctly. Integrations need to work. Workflows may need to change. Users need training. Responsibilities need to be assigned. New processes need to become part of how the organization operates every day.

And that work does not end at launch. Platforms evolve. Teams change. Firms grow. Vendors release new capabilities. What was configured correctly two years ago may no longer reflect how the business operates today.

That is why adoption and ongoing optimization should be considered part of the technology investment from the beginning.

The Best Tech Stack Is an Intentional One

Innovation will continue to move quickly, and wealth management firms should absolutely be exploring what is possible.

But the firms that benefit most from new technology will not necessarily be the ones that adopt it first.

They will be the ones that know what they are trying to accomplish, understand how their technology and operations work together, and have the discipline to invest where new capabilities can meaningfully improve the business.

JUNE 2026

Most RIAs do not start evaluating new technology because of one isolated issue. They start when growth, M&A, inherited systems, and years of short-term fixes begin to compound.

Client data lives in too many places. Reporting varies by advisor, team, or legacy practice. Billing depends on manual review. Trading and operations workflows are inconsistent. Processes that worked for a smaller firm now create risk, rework, and confusion at scale.

At that point, leadership usually knows something needs to change. But the answer is not always a new platform.

Many firms already have strong technology in place. The issue is that the systems are not fully connected, consistently configured, or aligned to how the firm needs to operate today. Other firms may have too many overlapping tools, unclear ownership, or workflows that were built around temporary fixes instead of long-term scale.

That is when firms need to step back and evaluate the full operating model. Which technology should stay? Which tools should be optimized? Which processes need to be standardized? Where does data need more control? And where has the firm truly outgrown its current platform?

Before jumping into vendor demos, RIAs need to answer a more important question: What actually needs to change?

Start with Discovery, Not Demos

A vendor demo is only useful if the firm knows what it is testing. Before comparing platforms, RIAs need a clear view of how the business operates today and where the current model is breaking down. That discovery should bring the front, middle, and back offices together to capture perspectives, use cases, workflow dependencies, and pain points across the full client and advisor experience.

As those findings come together, the core portfolio management and reporting system is often where the biggest questions surface. Platforms like Addepar, Black Diamond, Envestnet Tamarac, and Orion often sit at the center of billing, performance reporting, reconciliation, rebalancing, client portals, and key integrations across the broader tech stack.

In many ways, the core system shapes the advisor experience. It determines what advisors see, what clients receive, how teams trust the data, and how efficiently work moves across the firm.

That does not mean the core system always needs to be replaced. In many cases, the firm already has strong technology in place. The issue may be configuration, governance, integrations, training, ownership, or workflow design.

A strong discovery process helps leadership separate true platform limitations from operational issues around the platform. That distinction matters. If the problem is data governance, workflow design, or ownership, replacing the system may only move the same issues into a new environment.

The better question is not, “Which platform has the best features?”

It is, “Is our technology ecosystem configured, connected, and governed in a way that supports how our firm needs to operate next?”

Redesign the Operating Model

Once the current state is clear, the firm needs to define how it wants to operate going forward. This is where many evaluations lose focus. Advisors may prioritize user experience. Operations may prioritize controls. Leadership may prioritize cost, scalability, and risk.

All of those perspectives matter, but they need to be evaluated against the same future state. Before comparing platforms, firms should align on the operating model they want to build.

This keeps the decision grounded. The firm is not asking vendors to show everything their platform can do. It is asking whether the platform can support the operating model the firm is trying to build.

Evaluate Fit, Not Just Features

Most major wealthtech platforms have strong capabilities. The question is rarely whether a platform can run reports, support billing, power a portal, or connect to other systems. The question is whether it fits the firm’s complexity, structure, internal capacity, and growth strategy.

The best platform is not always the one with the strongest demo. It is the one the firm can implement, adopt, manage, and scale with confidence. That means evaluating:

• What will the firm gain?
• What will it lose?
• What will need to change?
• What will require customization?
• What internal resources will be needed?
• What support model is required after go-live?

A platform decision is not just a feature comparison. It is a fit decision.

Pressure-Test Data, Integrations, and Ownership

Even the right platform will struggle without clean data, connected workflows, and clear ownership. Firms should evaluate what data needs to flow in, what needs to flow out, which integrations are required immediately, which can be phased in later, and where manual work will still exist.

Data governance should also be addressed early. That includes householding, entity structures, security master management, asset classifications, custom fields, permissions, and reporting definitions.

The same is true for ownership. Vendor support can help, but it cannot replace accountability inside the operating model. Someone needs to own platform configuration, data integrity, issue resolution, training, and ongoing maintenance.

Without that ownership, even strong technology can become difficult to manage.

Budget for the Full Lift

A wealthtech decision should include the cost of implementation, not just the cost of software. Firms need to account for data migration, configuration, integrations, testing, validation, training, running parallel systems, reporting comparisons, billing comparisons, and post-go-live support.

They also need to understand the internal lift. This is where firms often underestimate the effort. Selecting the right platform is only part of the work. The bigger challenge is getting from decision to adoption without disrupting advisors, clients, operations, or leadership.

The Future State Should Drive the Decision

The best wealthtech decisions start before the demo. They start with discovery. They require leadership alignment. They depend on clean data, connected workflows, clear ownership, and a realistic implementation plan.

Sometimes the answer is a new platform. Sometimes it is better configuration, stronger governance, cleaner integrations, or a more disciplined operating model around the technology already in place.

Either way, the future state should drive the decision. Technology should support growth, not create more complexity.