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For advisory firms, the question is not if AI will affect operations but how to introduce it in ways that strengthen both client relationships and internal culture. Technology is only half of the equation.
In any business, credibility is everything. Advisors need a clear understanding of what leadership expects the impact of AI to be on their day-to-day activities. If the message is that “everything will be great,” but workflows, training sessions, and client education present new challenges, advisors won’t appreciate the lack of transparency. They’ll begin to question the technology and, even more worrisome, the broader leadership decisions.
A better approach is honesty. AI will transform how tasks are completed, from client reporting to compliance documentation. Some changes will be liberating, giving advisors more time to deepen relationships with clients. Others may require new skills or adjustments. When leaders acknowledge the potential benefits and hurdles of a new tool, they shift the narrative from one of disruption to one of opportunity.
Leaders can fall into the trap of portraying AI as a silver bullet that will fully automate reporting, eliminate manual data entry, or guarantee faster client service. These promises rarely hold, and unmet expectations quickly erode trust.
Adoption success relies on transparency and highlighting that AI is more likely to reshape tasks than remove them. A tool may produce a first draft of a financial plan, but advisors will still need to refine it with their judgment and client-specific insights. Compliance checks may become more automated, but oversight remains essential. Set realistic expectations about timelines, learning curves, and human involvement.
Leave Out the Stuffy Terms
Honesty is important, but so is simplicity. Throwing around terms like “machine learning” or “large language models” without defining them risks alienating the very people who are expected to use these new tools. Instead, explain AI in language that resonates with the daily advisory experience.
For example, machine learning can be described as “software that gets better by practicing with examples,” much like how advisors refine their judgment through years of client conversations. Natural language processing is “AI that can read and write like a person,” which directly links to applications such as drafting meeting summaries or generating first drafts of client communications. The key is thinking about what people actually need to understand to do their jobs well, not what sounds technically impressive. The ultimate goal is education, not intimidation.
Explain the “Why” Behind Every Decision
In addition to providing simple explanations of what the tool does, RIA firms need to frame AI adoption as a thoughtful process. Explain that, with numerous tools on the market, the firm focuses on selecting those that address specific challenges. That could mean saving time on portfolio reporting, improving accuracy in compliance workflows, or giving advisors more time for meaningful client conversations. When the “why” is tied directly to pain points advisors already recognize, adoption feels less like a top-down mandate and more like a targeted solution.
Involve Advisors and Staff in the Process
In order to identify the “why,” firms must involve advisory teams in the process. After all, advisors are the ones who know where time is wasted and where processes break down. Start by asking what slows them down, whether it’s hours spent on quarterly performance reports or manual compliance tracking or something else. Invite volunteers into pilot groups to test new tools and share feedback. Even if final decisions rest with leadership, explaining how advisor insights shaped outcomes goes a long way in building buy-in and trust. Advisors who see their perspectives reflected in the process are more likely to embrace change and fully utilize the resources available to them.
AI should not live in isolated announcements or technology briefings. When leaders only bring it up in formal settings, it feels like a distant initiative rather than an integrated part of the organization. Firms should fold AI into regular team conversations. Discuss it in the same breath as other operational updates, client strategies, or compliance checks. Check in often to see how tools are working in practice and be open to hearing about frustrations. When AI is integrated into normal dialogue, it becomes a resource that supports success, rather than a disruptive experiment.
The strongest indicator of success is when advisors stop asking, “Will this replace me?” and start asking, “How can this help me serve my clients better?” Engagement is characterized by practical questions, constructive feedback, and volunteers stepping forward to participate in pilot programs.
To get there, structured overcommunication is essential. Firms should plan multiple touchpoints: Written updates, team discussions, Q&A sessions, and ongoing education. Advisors need to know what is being implemented and why it matters for their work and for their clients.
In wealth management, trust is everything. Just as advisors build client relationships on transparency and reliability, leaders must build the same foundation internally when introducing AI. Success is measured by how supported teams feel. Leaders who are honest, realistic, and inclusive will guide smoother AI adoption, helping advisors leverage tools to benefit their clients and businesses.
Emily Wilcox is the COO of Practifi.
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Advisor Perspectives welcomes guest contributions. The views presented here do not necessarily represent those of Advisor Perspectives.
