At Future Proof Citywide in Miami, the AI conversation in wealth management didn’t feel abstract—it felt like a glimpse of how advisory firms are actually going to operate in the near future. That was especially true for Patrick Hunt, CEO of Smartria, who used the event to roll out the firm’s first AI-powered tools, SmartReview and SmartAssist. The goal is straightforward: help RIAs and compliance teams move faster without cutting corners on oversight. And from the way Hunt described it, this is just the beginning—a broader push to build secure, practical AI into the day-to-day reality of compliance work.
Hunt’s pitch was practical. Smartria is building tools meant to help RIAs and compliance teams move faster on marketing review, regulatory questions, and other routine tasks without taking people out of the loop. The emphasis was less on AI for its own sake than on making compliance work easier to manage without creating new risks.
Smartria’s First AI Products
Smartria’s first two AI tools are aimed at two obvious friction points in compliance work. SmartReview is a marketing review assistant that helps advisors and marketing teams screen content before it goes to compliance. SmartAssist is a natural-language chatbot for SEC and FINRA rules, giving compliance teams, advisors, and other employees a faster way to find answers.
This is just the beginning. “Those are our first two,” Hunt said, “but we have a robust roadmap of maybe a dozen things.” That makes the launch feel less like a one-off feature drop than an early look at how Smartria wants compliance work to function: less point-and-click, more guided, conversational, and embedded in the flow of daily tasks.
Used well, those tools could help firms clean up content earlier and cut down the time spent chasing routine policy answers.
Why Pre-Screening Matters
Hunt pointed out that firms are increasingly active on social media, blogs, and texting, but “don’t have great tools yet to sort of screen the content in advance.” That means compliance teams often receive content only after it has already been created, polished, and scheduled, which makes the approval process slower and less efficient.
SmartReview is built to close that gap, giving advisors and marketers a way to “pre-screen their own content before they actually submit it for compliance approval.” That could reduce back-and-forth, speed up approvals, and give compliance teams more time for work that actually requires judgment.
Where Agentic AI Is Real
Hunt was bullish on agentic AI, but only in the areas where it is already useful. “I would argue that back office tasks are very real right now,” he said, pointing to use cases like compliance review and regulatory guidance. That feels like the more grounded case for agentic AI inside a regulated firm: operational work where the value is clear and the risk is easier to contain.
He was more cautious once the conversation turned to investment recommendations and financial plan creation. There is “great work being done in those areas,” he said, but they are not yet “ready for prime time” in the same way. For now, his argument was to experiment where the operational upside is real without assuming every AI use case is ready for full deployment.
Human Oversight Still Wins
Hunt emphasized that firms cannot simply deploy AI and let it run on its own. “You really need to stay engaged with oversight and the ability to pull the plug,” he said. The point was not to slow adoption, but to keep supervision attached to the workflow as AI takes on more of the routine work.
That thinking also shows up in how Smartria is building its products. Hunt described the approach as “privacy forward AI,” with guardrails meant to keep firms from over-automating sensitive tasks. The goal is to make compliance work more efficient without handing off policies, procedures, or final judgment.
Compliance Headaches Ahead
When asked about the biggest compliance headaches for the year ahead, Hunt pointed first to marketing. SEC and FINRA scrutiny remains high around performance guarantees, exaggerated claims, and other prohibited language. For firms that publish a large volume of content, the pressure to get messaging right is only increasing.
He also flagged vendor management as a growing issue because of the recent Reg S-P updates. Smartria has responded with a Data Governance module that gives firms visibility into what vendors they use, what data those vendors can access, what products are involved, and which employees can reach them. That kind of data mapping is valuable because it helps firms prepare for incidents before they happen and respond more effectively when they do.
A Culture of Compliance
Hunt also emphasized what he called “a culture of compliance,” describing a model where every employee participates in the compliance program on a daily, weekly, monthly, quarterly, and annual basis. In that model, compliance is not just a software category. It is an operating discipline.
That mindset can make the difference between being reactive and being resilient. Firms that treat compliance like a recurring habit are better positioned to scale, onboard staff, and handle regulatory reviews without panic. Smartria’s tools are designed to support that rhythm by turning compliance into a repeatable process instead of a series of emergencies.
The Next Workflow Shift
Hunt pointed to a future where AI agents can retrieve data and move work across systems more intelligently. He described MCP as a way for one system to ask another for what it needs — “I need this particular historical data” — and get it back without the usual manual handoff. In practice, that could make workflows more connected across custodians, compliance systems, and internal databases.
That kind of connectivity goes beyond isolated AI tasks and toward workflow orchestration. Instead of spending time hunting for documents, re-keying data, or chasing approvals, firms could start handing off more of that coordination work to connected systems. The benefit is not just speed, but a workflow that is easier to manage and scale.
What This Looks Like in Practice
SmartReview and SmartAssist reflect Hunt’s broader argument for AI in wealth management: use it where it solves a real operational problem, and build it with guardrails that preserve accountability. Their appeal is not novelty, but practicality. They are narrow tools aimed at compliance bottlenecks firms already face.
That kind of infrastructure matters beyond the compliance team. Better systems can support cleaner execution, more consistent communication, and less operational drag across the business. In a business where trust and precision matter, those advantages can compound over time.
To learn more about Smartria and its compliance and AI workflow tools, visit their website here.