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AI and the next evolution of the advisory business

2026-08-05

Tina Downing, CPVA, CPBA, RCC

Tina Downing, CPVA, CPBA, RCC

Senior Director and Lead, Business Consulting




Key takeaways

  • AI may support more than operational efficiency. When thoughtfully integrated into an advisory practice, AI can create additional capacity for proactive advice, client engagement and business development.
  • AI-enabled operating models can help firms scale more consistently. Intelligent workflows may help advisors identify client needs, prioritize opportunities, coordinate service and personalize communications as circumstances evolve.
  • Human judgment remains central to financial advice. AI can organize information, surface planning and portfolio considerations, and support ongoing monitoring, while advisors remain responsible for interpretation, recommendations and client decisions.

Most conversations about artificial intelligence in wealth management begin with efficiency.

That makes sense. AI can help draft emails, summarize meetings, prepare research and automate many of the repetitive tasks that consume an advisor's and their team’s day. Those capabilities are valuable, but they only scratch the surface of what is possible.

The larger opportunity is using AI to build a different kind of advisory business: one that provides “growth alpha”. Harnessed smartly, AI has the potential to create capacity for the activities that actually drive organic growth: stronger client relationships, more proactive advice, and more time to develop new business.

The new demands of modern advice

Client expectations have changed. Timely responses, scheduled reviews and a few proactive touchpoints are no longer enough to differentiate an advisor. Today’s investors are constantly looking for ways to reduce emotional load in our day-to-day lives. Many sophisticated clients increasingly value proactive meaningful communication, simpler decision-making and the confidence that someone is helping them stay ahead of life's complexities. Delivering that experience consistently becomes more difficult as a practice grows.

Many advisory firms eventually reach a point where growth begins to create operational strain. As client relationships become more customized, advisors often find themselves relying on inboxes, memory and manual processes to keep everything moving. One-off requests become recurring work. Coordination becomes harder. The very personalization clients appreciate can become difficult to sustain consistently.

For years, firms and practices have addressed this challenge by standardizing their business. Service models, client segmentation, workflows and clearly defined team responsibilities created consistency and improved operational discipline. Those practices remain important. They established the foundation for scaling an advisory business.

Today, however, the business model is evolving once again. 

Introducing Growth Alpha

We believe firms that are thoughtfully adopting AI are using it to rethink how advice is delivered, not simply to complete administrative tasks faster.

Instead of relying on static workflows, AI allows firms to build adaptive operating models that continuously prioritize work, identify opportunities and personalize the client experience as circumstances change.

I think of this as creating Business Growth Alpha. Just as investment alpha seeks to create excess returns, Business Growth Alpha creates additional capacity, consistency and value within the advisory practice itself. It enables firms to grow while strengthening the client experience rather than placing it under greater strain.

Business Growth Alpha is built across five interconnected capabilities.

Growth Velocity helps firms identify opportunities sooner and act on them with greater confidence. AI can recognize life events, business liquidity opportunities, behavioral signals and client needs that may otherwise go unnoticed between scheduled reviews. Advisors spend less time searching for opportunities and more time acting on them.

Operational Precision improves execution across the practice. Intelligent workflows can prepare meetings, summarize client conversations, coordinate onboarding, prioritize tasks, identify stalled cases and reduce unnecessary rework. The result is greater consistency for both clients and advisory teams.

Relationship Ecosystems allow firms to deepen client relationships at scale. Personalized outreach, trigger-based servicing and tailored communications become part of the normal client experience rather than exceptional service reserved for a handful of relationships. Advisors gain the ability to stay connected in ways that feel thoughtful and relevant.

Planning Architecture strengthens the planning process itself. AI can rapidly organize information, generate planning scenarios, identify tax considerations, surface planning gaps and monitor follow-through on recommendations. Advisors remain responsible for judgment and advice, while AI expands their ability to prepare and deliver comprehensive planning.

Adaptive Investment Intelligence allows advisors to monitor continuously rather than periodically. AI can synthesize market research, summarize economic developments, identify portfolio considerations, highlight tax or cash management opportunities and prepare client-ready talking points. Combined with the research and guidance provided by trusted investment partners, advisors can respond more quickly to changing conditions while spending more time helping clients understand what those changes mean.

Taken together, these five capabilities describe a different operating model for advisory firms. AI becomes more than a productivity tool. It becomes part of the infrastructure that supports growth, planning, investment oversight and client engagement.

None of this diminishes the advisor's role. In many ways, it makes that role even more valuable. Trust, judgment, empathy and accountability remain the qualities clients value most. AI cannot replace those capabilities, but it can create more opportunities for advisors to use them.

The firms that emerge as leaders over the next decade will likely share one characteristic. They will have built businesses where technology quietly strengthens every part of the client experience while allowing advisors to focus their attention where it creates the greatest value: helping clients make better financial decisions with greater confidence.


Common client questions

Growth Alpha refers to the additional capacity, consistency and client value an advisory firm may create by thoughtfully integrating AI into its operating model. Rather than focusing only on completing administrative tasks faster, firms may use AI to support proactive client engagement, planning, opportunity identification and investment oversight.

The five capabilities are Growth Velocity, Operational Precision, Relationship Ecosystems, Planning Architecture and Adaptive Investment Intelligence. Together, they describe how AI may help firms identify potential opportunities, improve workflow consistency, personalize client engagement, strengthen planning processes and monitor investment-related developments.

AI is not a substitute for an advisor’s judgment, experience or client relationships. It may help organize information, identify potential considerations, support monitoring and prepare communications, while financial advisors remain responsible for interpreting information, providing advice and helping clients make informed decisions.


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