When Altruist launched Hazel’s AI-based tax planning capability this February, market reaction was severe. Raymond James, Charles Schwab, and LPL Financial all suffered major declines, and within two days the selloff had wiped out an estimated $130 billion in market value. While pure-play wealth managers bore the brunt, bank wealth divisions were largely spared. The reasons illuminate differences between the bank and independent channels and the competitive risks that bank wealth units face as AI-augmented advice accelerates. Platforms like Hazel and Avantos are beginning to address those risks, but in very different ways.
A bank’s wealth management operation is one revenue line among many; fee compression in the advice channel does not translate directly into enterprise-level valuation pressure the way it does for a pure-play broker. Bank advisors are captive employees, not independent practitioners choosing a custodian, so the platform competition dynamic that rattled Schwab and LPL does not apply in the same way. And bank wealth clients, many referred from the broader banking relationship, are less likely to be actively comparison-shopping for AI-enabled alternatives than self-directed investors. The same inertia that shielded bank wealth divisions from the February repricing also reflects a slower posture toward deploying the tools that will allow them to compete as the advice landscape evolves.
The structural challenges that AI-enabled platforms like Hazel are designed to address are well matched to the bank wealth context. Bank advisors carry larger and more heterogeneous books than their counterparts in the independent RIA channel, with retail banking referrals sitting alongside genuinely affluent clients with complex needs. Advisor time concentrates on the highest-AUM relationships, leaving smaller accounts with infrequent contact and reactive service. Bank advisors also sit at the intersection of deposit, lending, trust, investment management, and insurance relationships—a cross-sell opportunity that is underexploited because advisors lack the visibility and bandwidth to connect the dots. Hazel, built by Altruist through its 2025 acquisition of AI startup Thyme, is a natively integrated platform that combines meeting intelligence, live custodial data, and tax planning into a single advisor environment, purpose-built to address precisely these constraints. In the bank context, however, surfacing the right insight is only half the problem. It also must travel through the right workflow to the right person at the right time.
Commentators attributed the February selloff to fears about fee compression and advisor market share erosion. The more immediate effect of tools like Hazel, however, is productivity expansion—advisors handling larger and more complex books. The proactive engagement layer is perhaps most consequential in the bank context. A context-aware AI that surfaces next-best-action opportunities—a client approaching a retirement transition, a household carrying significant uninvested cash, a life event flagged in recent communications, an unrealized loss worth discussing before year-end—addresses the cross-sell visibility gap directly. The signal is only half the equation; Hazel is designed to ensure the advisor sees it in time to act. That capability is powerful in the RIA setting. Scaled across a bank wealth program with thousands of advisors, multiple product lines, and a layered supervisory structure, it demands something closer to institutional infrastructure than a point solution.
Tax planning extends that value further. The ability to generate personalized strategies from 1040s, pay stubs, and account data in minutes gives bank advisors a concrete way to demonstrate integrated planning value across the full client relationship. That is a meaningful advantage in the bank context specifically. Independent RIA advisors typically see only the investment account; bank advisors sit alongside the mortgage, the business credit line, and the deposit relationship. AI-enabled tax planning that draws on that fuller picture can surface opportunities, and justify fees, in ways that are structurally unavailable to advisors working from a narrower data set.
Avantos, a recently launched AI platform designed for institutional wealth management, is where capability becomes operating model. It is an AI-native operating system that layers a knowledge graph across core systems, creating a shared context for advisors, servicing teams, and AI agents to operate together. The practical implications are significant: An AI agent that notices a client has recently had a child and triggers the opening of a 529 plan, or flags that an advisor has not spoken to a client in eight months and initiates a follow-up, is closer to the proactive cross-product servicing model that bank wealth programs have long aspired to but struggled to operationalize. The cross-product ambition is also well matched to the bank context, with AI recommendations designed to operate across wealth, banking, and insurance product lines simultaneously. Mercer Advisors reports active deployment across tens of thousands of clients—an early but meaningful signal of institutional readiness.
Capturing this opportunity in the bank context requires investment in three areas. The first is data completeness. The cross-sell and household intelligence opportunity scales directly with the fullness of the client picture; a partial view produces partial insights, and the gaps are typically larger in bank environments than in the RIA channel these platforms were built for. The second is supervisory workflow. AI-generated client-facing outputs require compliance architecture built around them, not bolted on afterward—and edge cases like missed under-withholding on RSU income are a reminder that even capable AI tax engines need human review embedded in the process. The third is change management. Bank advisors are captive employees operating within structured sales cultures; realizing the productivity gains these platforms promise means building adoption into the rollout. None of these is a disqualifying obstacle. Together they define what separates a bank wealth program that extracts real value from AI-augmented advice delivery from one that runs a pilot and moves on.
For bank wealth management leaders, Hazel is best understood as a competitive reference point—evidence that AI-augmented advice delivery has moved from aspiration to execution in the independent channel. Avantos is the more actionable opportunity: It’s a platform built to do what Hazel does for the RIA but at institutional scale. The independent channel is moving faster, and the advisor productivity and client experience advantages that creates will become a competitive pressure point over time. The more urgent question is whether the technology partners bank wealth programs rely on are moving fast enough to close that gap. The competitive dynamic will not wait for bank wealth culture to catch up.
