AI use is growing rapidly among advisors. What direction do you see the technology going in our space?
We’ve moved past curiosity and wariness to excitement and adoption. 42% of advisors are already using general tools like ChatGPT, and about the same number have adopted AI meeting tools. Jump users are already using AI to prepare for conversations, capture key points, streamline follow-ups, and extract insights from client discussions. These tasks used to take hours. Now, they take minutes.
But zooming out, remember that what makes this last wave of AI, generative AI, different is the power to “read and write” messy and unstructured data. Almost everything advisors do includes “unstructured data,” whether conversations, emails, texts, or documents. So, over time, AI won’t just support the back office. It will become a proactive partner, surfacing trends, risks, and opportunities tailored to each client relationship. It will ultimately transform every aspect of what advisors do in the same way the internet or mobile devices changed everything.
There are several areas in client service that advisors can use AI in. How do you balance automating service while keeping it unique/differentiated?
Delivering personalization at scale is the elusive holy grail of client service and engagement. AI makes this more possible than ever. AI not only takes care of the behind-the-scenes busywork and frees up advisors to focus on the parts of the relationship that truly require human insight, but it also does so through powerful customization and personalization tools that match the firm’s unique service model and style or tone. One example in Jump’s case: advisors can load examples of their old emails, and Jump will use them to draft highly personalized client follow-ups. These drafts reflect not only the content of the most recent client interaction (like a meeting), but also the advisor’s tone, preferences, communication style, and even the firm’s unique meeting types.
How will AI agents change the way advisors interact with clients? What is a good AI agent experience like?
We think of great AI agents like an Iron Man suit that allows advisors to do so much more than they can do alone. So, a good AI agent will be a trusted extension of the advisor, giving them leverage.
Imagine a whole factory of helpful robots or a whole army of recently graduated Harvard undergraduates who are able to do anything you need to move the firm forward. For example, look at the things an advisor needs to do for every client interaction: write compliance documentation, update the CRM, send a client recap email, delegate follow-up tasks to the operations or investments team, and schedule the next touchpoint with the client.
A great AI agent will anticipate and complete these for the advisor, all with “human in the loop” oversight. The best AI agents feel invisible when they need to be and helpful when it counts. Over time, clients experience more clarity, consistency, and responsiveness without the advisor spending more hours to deliver it.
Enhancing human judgment, not replacing it
We're at a turning point in the financial services world. AI isn't just changing how we handle information – it's completely reshaping how advisors connect with their clients. And compliance work is quickly becoming a showcase for AI's practical benefits.
As regulations get more and more complex, financial advisors face a clear choice: stick with manual processes that pull them away from client relationships or jump on board with AI solutions that handle the administrative headaches while letting them focus on what they do best.
The compliance challenge financial advisors can no longer ignore
Let's be honest – compliance isn't just a box to check. It's one of the most critical responsibilities for financial advisory firms today. The stakes? Higher than ever: Serious penalties, reputation damage, and potential legal trouble for those who fall behind.
Yet, surprisingly, many wealth management firms still rely on manual compliance processes that just aren't sustainable anymore. In a 2024 enforcement action, the SEC fined 26 financial firms over $390 million for the widespread use of unapproved communication methods, including WhatsApp and personal text messages. With penalties this severe, can human-powered compliance really keep up?
The human cost of manual compliance
For years, compliance teams have been stuck with labor-intensive workflows that create vulnerabilities while pulling advisors away from their most important work – building real connections with clients.
- Human Error: When compliance officers manually process mountains of data, mistakes happen that can trigger costly fines and audit failures.
- Regulatory Blindspots: Without automated monitoring, compliance teams might miss crucial deadlines, exposing their firms to unnecessary risks.
- Relationship Drain: Every hour spent documenting compliance is an hour not spent understanding clients' financial goals and aspirations.
Reimagining compliance through technology
The promise of AI in compliance isn't about replacing human judgment; it's about enhancing it. The most effective solutions support advisors by capturing what happens in meetings and automatically handling the administrative work that has traditionally eaten up so much of an advisor's day.
What makes modern AI compliance tools game-changing?
- Accurate Meeting Documentation: Automatically captures key points from client conversations, ensuring nothing gets lost or misremembered.
- Instant Compliance Recordkeeping: Creates timestamped records and standardized documentation that meet firm and regulatory standards without added effort from the advisor.
- Relationship-Centered Design: Technology that runs quietly in the background, allowing advisors to stay fully focused on the client during meetings.
With the right AI tools, compliance no longer means hours of post-meeting paperwork. Advisors can spend more time doing what they do best – building trust, offering personalized guidance, and strengthening client relationships.
What’s holding advisors back? Debunking AI compliance myths
Even with all the benefits AI brings to compliance workflows, many advisors are still hesitant to adopt it. That hesitation often comes down to a handful of persistent myths:
- Myth 1: “AI will get me in trouble with regulators.”
Top AI platforms are built with compliance at their core – creating timestamped records, automating disclosures, and reducing human error. In many cases, they actually strengthen a firm’s audit readiness. - Myth 2: “I’ll lose control over what’s documented.”
Compliant AI tools don’t publish anything without approval. Advisors can review and edit everything to ensure the tone, accuracy, and style reflect their own, with full control over what is ultimately synced to CRM or communicated to clients. - Myth 3: “Compliance teams won’t trust AI.”
Once compliance officers see how consistently AI platforms capture notes, update records, and track changes, they often become strong advocates for adoption. - Myth 4: “If I didn’t write it, it’s not compliant.”
What matters most in compliance is accuracy, not authorship. AI can help capture more context and nuance than post-meeting memory. Of course, publishing AI-generated content before reviewing it is a big no-no. Advisors must take full responsibility for any content they publish. - Myth 5: “It’s too risky or too new.”
AI compliance tools are already used by hundreds of advisor teams, RIAs, and broker-dealers. These systems are tested, trusted, and built to meet the industry’s highest standards.
The truth? AI isn’t a compliance risk – it’s a compliance advantage. And the sooner advisors clear these hurdles, the faster they can reclaim their time and refocus on what really matters.
The future of financial advice
The financial advisory industry is facing pressure from all sides – robo-advisors, changing client expectations, and increasingly complex regulations. Yet the core value remains unchanged: meaningful human relationships that lead to truly personalized financial guidance.
By automating the administrative side of compliance, advisors can double down on their core strength: understanding not just the numbers but the dreams, fears, and aspirations behind them. They can be fully present with clients, building the trust that no algorithm can replicate.
This is more than a tech shift – it's a return to the fundamentals of financial advice. By handling the documentation burden, AI allows advisors to focus on what really matters: understanding clients and helping them achieve their financial goals.
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