AI Tools

How Top Firms Are Using AI to Generate Advice Faster

RK Sterling
January 9, 2026
8 min read
How Top Firms Are Using AI to Generate Advice Faster
Learn how top advisory firms use AI-powered platforms to deliver better wealth management advice, accelerate financial planning, and demonstrate measurable client value.

How Top Firms Are Using AI to Generate Advice Faster

The firms winning the next decade of wealth management aren't working harder. They're working smarter, with AI-powered advice generation that transforms how financial advisors serve their clients.

Your Clients Already Use AI. Do You?

A client shoots you an email with a question about Mega Backdoor Roth IRA contribution limits, but this time it's different.

It outlines the strategy, has questions about employee versus employer contribution amounts, and cites the IRS section codes for contribution limits.

The client isn't trying to undermine you. They're simply doing what modern consumers do: asking an AI model about the advice you recently gave them.

This scenario is becoming increasingly common across wealth management. Clients now have access to the same AI tools that can analyze complex financial strategies in seconds. They arrive at meetings better informed than ever, sometimes with insights their advisors haven't considered.

The result? Some clients are questioning whether they are receiving the best advice. Some are considering switching firms, seeking advisors who can match their newfound knowledge with even deeper expertise. The advisory landscape has shifted, and firms that fail to adapt risk losing relevance.

The solution isn't to compete against AI. It's to harness it. Leading firms are now using AI-powered platforms to generate advice faster and more comprehensively than ever before, transforming what was once a time-intensive process into a competitive advantage.

The Three Transformations AI Enables

AI-powered advice generation isn't about replacing human judgment. It's about amplifying what financial advisors do best. Firms adopting these tools are experiencing three distinct transformations in how they serve clients.

Higher Quality Advice in the Same Amount of Time

Consider the traditional advisory process. An advisor meets with a client, gathers information, and then spends hours researching strategies, analyzing tax implications, and building recommendations. Even experienced advisors can only hold so many strategies in their heads at once.

AI-powered platforms like RK Sterling change this equation entirely. The Advice Engine analyzes hundreds of wealth strategies simultaneously, reviewing tax optimization opportunities, estate planning options, insurance gaps, and investment considerations in minutes.

It surfaces strategies that might take a human advisor hours to identify, from backdoor Roth contributions and net unrealized appreciation opportunities to land preservation tax credits.

The platform doesn't just identify opportunities. It automatically rules out strategies where eligibility requirements aren't met, highlights areas where additional client information is needed, and presents actionable recommendations with specific implementation steps.

This means advisors can deliver comprehensive, personalized advice that accounts for the full complexity of each client's situation.

Real-time opportunity detection adds another dimension. When mortgage rates drop to levels that would benefit specific clients, when qualified plan contribution limits change, or when new tax legislation creates planning opportunities, advisors are alerted.

This shifts the advisory relationship from reactive to proactive, enabling outreach with timely, personalized recommendations that demonstrate ongoing value.

Same-Level Advice in Significantly Less Time

The average financial advisor today loses 60 to 70 percent of their day to necessary but non-value-adding activities. Manually typing meeting notes, drafting routine emails, building presentations from scratch, entering data across multiple systems. These tasks are essential, but they consume time that could be spent with clients.

AI-powered platforms compress this workflow dramatically. What once took days now takes minutes. Within moments of a client meeting, follow-up emails are drafted, calendar invites created, and task lists updated. Personalized recommendations are ready through the Advice Engine, and presentation materials are built automatically.

The impact on practice efficiency is substantial. Advisors report reclaiming significant portions of their day for client-facing activities. More client meetings means deeper relationships and more opportunities to demonstrate value. Some firms are seeing 40 percent increases in client meeting capacity without extending work hours.

This efficiency gain compounds over time. Advisors using AI-powered platforms can manage three to five times more assets under management without sacrificing service quality. The advisor who today manages $50 million has a clear path to managing $250 million within five years, all while actually working fewer hours and delivering more value to each client.

Leveling the Playing Field for New Advisors

Junior advisors have historically needed years to develop the pattern recognition and strategic depth that experienced advisors bring to client relationships. They learn through observation, mentorship, and trial and error, gradually building the mental database of strategies and solutions that defines expertise.

AI-powered platforms accelerate this learning curve dramatically. They encode institutional knowledge, giving new advisors access to the same comprehensive analysis that 20-year veterans bring to client meetings.

The Advice Engine doesn't just suggest strategies; it explains why certain approaches are relevant for specific client situations and rules out options that don't apply.

Firms report reducing training time by 50 percent, onboarding new advisors in days instead of weeks. More importantly, these advisors can deliver consistent, high-quality advice significantly faster. The quality gap between junior and senior advisors narrows significantly when both have access to the same AI-powered analysis tools.

This consistency matters for client experience. Every client receives comprehensive advice regardless of which advisor they work with. The firm's collective expertise is available in every conversation, not locked in the heads of a few senior partners.

Why Generic AI Tools Fall Short

Some advisors have experimented with consumer AI tools like ChatGPT or Copilot for their practices. While these tools are impressive for general use, they create significant problems in a regulated financial services environment.

The compliance risks are substantial. Consumer AI tools store all inputs, meaning client data enters systems without appropriate protections. Large language models can permanently memorize sensitive information with no way to delete it. Firms using these tools may be unknowingly violating SEC and FINRA regulations, creating liability that could surface during examinations.

The SEC has made AI usage a top examination priority for 2026. Examiners are specifically looking at how firms handle client data in AI systems, what consent processes are in place, and whether appropriate audit trails exist. Firms without purpose-built compliance infrastructure face increasing regulatory scrutiny.

RK Sterling addresses these challenges directly. The platform provides automatic personally identifiable information detection and removal before AI processing, ensuring sensitive client data never reaches AI models. End-to-end encryption, enterprise-grade security protocols, and comprehensive audit logs create the documentation trail that regulators expect.

Beyond compliance, purpose-built platforms solve the integration problem. Most advisory firms suffer from application sprawl, managing dozens of disconnected tools for CRM, research, documents, compliance, and client communication. Sterling unifies these functions into a single platform, eliminating data silos and reducing the time lost switching between systems.

Demonstrating Value to Skeptical Clients

One of the persistent challenges in wealth management is the "what am I paying for?" question. Clients don't always see the work that happens between meetings, the analysis performed, or the opportunities identified on their behalf. This invisibility problem becomes more acute as clients gain access to AI tools themselves.

AI-powered platforms provide a solution by quantifying and documenting the value advisors create. Sterling tracks every opportunity identified, every strategy recommended, and every dollar saved. Year-end reports show clients exactly what they gained from the advisory relationship, with specific numbers attached to each recommendation.

The platform distinguishes between captured value (strategies that have been implemented) and identified value (opportunities still available). This creates natural conversation points for client reviews and helps ensure valuable opportunities don't slip through the cracks.

For example, if a clients can see that their advisor identified $184,000 in potential strategies and has already captured $23,600 in implemented savings, the value of the relationship becomes tangible.

This visibility transforms retention conversations. Instead of hoping clients appreciate intangible value, advisors can demonstrate concrete results. Referral conversations become easier when clients can articulate specific benefits they've received.

Moving Forward

The best financial advisors have always succeeded by combining technical expertise with human connection. They understand complex financial strategies and they understand the people they serve. AI doesn't change this fundamental truth. It amplifies it.

With AI handling the analytical heavy lifting, advisors can focus on what technology cannot replicate: understanding client fears and aspirations, guiding behavior through market volatility, translating complex strategies into actionable stories that connect advice to purpose. The human elements of trust, empathy, and wisdom become more valuable, not less, in an AI-enhanced practice.

Clients won't choose between AI and human advisors. They'll expect both. The firms that thrive will be those that integrate AI capabilities seamlessly, using technology to deliver faster, more comprehensive advice while preserving the human relationship that makes financial planning meaningful.

RK Sterling represents this new standard: better advice, delivered faster, with compliance built in from the ground up. For firms ready to lead the next era of wealth management, the path forward is clear.

The transformation is here. The only choice is whether to lead it or be left behind.