Two questions worth sitting with. What would it take for a brokerage to become the most engaging and trusted digital experience - not just for affluent clients, but for the underserved middle that wants more guidance than self-service provides? And if you were redesigning the advisory experience from scratch today, what would you build into digital channels to deliver personalized guidance at scale?

These aren't rhetorical. Roughly $42 trillion of US mass-affluent wealth sits in households with $100K–$1M in investable assets; about 32 million households, and 40% of global wealth assets. The segment is famously underserved. Full-service advisors can't profitably deliver personalized guidance below $1M. Self-directed platforms sell tools, not judgment. And the clients are clear about what they want: not "do it for me," not "do it yourself," but "do it with me." eMoney research puts it at 90% wanting human support as part of their guidance.

Every brokerage strategy team has known this for a decade. What's changed in 2026 is that agentic AI moves the unit economics. Broadridge is claiming 30% operational cost reductions from its production agentic deployments across 40+ wealth clients. Industry reports point to advisor prospecting time cut roughly 40–50%, onboarding costs cut 30–40%, onboarding speed up 50%. The math on profitably serving mass-affluent has finally shifted. The question is what you build with it.

What "do it with me" looks like when the "me" has an agentic team

The mistake to avoid is treating this as a chatbot problem. Every brokerage now has a conversational front-end. The design question is what the system behind the conversation does and how much of the advisory relationship gets reimagined around it. Five patterns worth building around.

Proactive rather than reactive contact. Traditional advisory is triggered by the client. Log in. Ask a question. Schedule a review. The agentic pattern reverses this: the system shows up at moments that matter (market volatility, life events, tax deadlines, portfolio drift, employer benefits changes) with a specific, actionable read. Not "market's down, hope you're OK" but "here's what happened to your specific portfolio, here are three actions worth considering, here's a link to talk to your advisor if you want the human read." Engagement stops being a function of client initiative.
Human judgment, agentic orchestration. The advisor keeps the "should I recommend this?" call. Everything upstream and downstream such as prepare the analysis, run scenarios, draft the message, schedule the follow-up, log the compliance record goes to agents. This is the pattern producing the productivity numbers, and it's what protects the client relationship, because the human is still making the recommendation. The agent makes the human faster; it doesn't replace them.
Unified financial picture. The mass-affluent client has held-away 401(k)s, employer stock, spouse's income, mortgage, tax situation, insurance, sometimes a small business. Every brokerage promises a "unified view" and almost none deliver it because integration was too expensive. Agentic AI makes it composable — account aggregation, tax records, benefits data, and insurance pulled into a live picture the advisor and client both work from. Biggest unlock, longest-requested feature.
The always-on paraplanner. Every household effectively gets a virtual paraplanner running 24/7; monitoring rebalancing thresholds, tax-loss harvesting, RMD triggers, life events surfaced from external signals, portfolio drift. The paraplanner surfaces recommendations. The advisor approves or adjusts. The client gets continuous, personalized guidance that would have been impossible below a $5M account four years ago.
Intelligent handoff to human. Hardest design decision: when to route to a human. Get it wrong and the client feels abandoned by the agent (bad) or dependent on the human for what the agent should have handled (worse). The pattern: agent handles execution, monitoring, routine questions, first drafts of recommendations. Human handles emotional decisions, complex trade-offs, first-time major decisions, anything with real regret potential. The client shouldn't have to ask for the handoff, the system should route it.

What the 2028 client experience actually feels like

The client logs in Monday morning to a briefing prepared overnight. Portfolio, tax situation, upcoming decisions, and life-event triggers laid out with a specific recommendation on each with the advisor's name attached to the calls that matter. On the two or three decisions where judgment matters, the advisor is a message or a call away, already briefed on the client's full situation. The advisor spends time on judgment and relationship. The agent handles everything else.

The firm that builds this first for the mass-affluent segment isn't competing on fees. It's competing on being the one experience that treats the underserved middle like their money matters because with agentic AI, that's finally profitable.

The question for every brokerage leadership team is whether you're designing this now, or waiting for a competitor to. The window is shorter than it looks.

Sources:

Franklin-Madison Group, "The Mass Affluent Opportunity: Why 2026 Is Your Year to Act," January 2026 ($42T US mass-affluent wealth, 32M households). https://franklin-madison.com/insights/articles/the-mass-affluent-opportunity-why-2026-is-your-year-to-act/
Investment Executive, "Capturing the mass affluent wealth segment," April 30, 2026 (segment defined at $100K–$1M investable assets; 40% of global wealth). https://www.investmentexecutive.com/perspective/columns/david-reeve/capturing-the-mass-affluent-wealth-segment/
eMoney Advisor U.S. Consumer Research Study (90% of advice seekers want human support as part of financial guidance).
Broadridge Financial Solutions, "Broadridge Deploys Agentic AI Across Wealth Capital Markets," May 13, 2026 (30% operational cost reduction across 40+ wealth clients). https://www.wealthmanagement.com/artificial-intelligence/broadridge-deploys-agentic-ai-across-wealth-capital-markets
InvestSuite, "AI Agents in Wealth Management: The Race to Redefine Client Engagement," June 15, 2026 (Citi Sky, Schwab, and Morgan Stanley June 2026 deployments). https://www.investsuite.com/insights/blogs/ai-agents-in-wealth-management-the-race-to-redefine-client-engagement