Here’s what the AI conversation gets wrong about smaller registered investment advisers: The largest firms don’t automatically have the advantage.
Large institutions may spend tens of millions of dollars on AI, but they have to build technology that works for everyone inside a large, complex organization. A new initiative moves through security reviews, compliance approvals, committees and pilot programs before it reaches the people who will use it. By the time it arrives, the work it was designed for has often changed.
A smaller RIA can identify a problem, build around how its team actually works, test the solution with the people who do the job and change it the following week.
That speed matters more every year, because the cost of building is collapsing. Capabilities that required a development team and a six-figure budget a few years ago now take one engineer and a few weeks. When building is expensive, budget wins. When building is cheap, the firm that can decide and ship fastest wins. Smaller firms were built to decide and ship fast.
Turning that agility into results requires a strategy for where AI will create value, how it will connect with existing systems and which workflows it will improve.
Start With the Work, Not the AI Product
An AI strategy should begin with a direct question: What work needs to become faster, easier or more consistent?
Advisors are hired to understand clients and build relationships. Much of their time still goes to administrative work. Those processes are often the best place to start because they contain repetitive steps that technology is equipped to handle. Too many firms approach the decision in reverse. A leader sees an impressive product demonstration, buys the platform and then searches for a use case. Six months later, the firm has another subscription while employees are still dealing with the same operational problems.
Start with the friction.
Preparing for a client meeting, for example, may require an employee to collect information from several platforms. The objective is to put the information the advisor needs in front of them with fewer manual steps. Smaller RIAs identify and address these opportunities quickly. Their leaders are close to the daily work and speak directly with the people completing each process. They select a high value problem, implement an improvement and determine whether it produces a meaningful result.
Connect the Firm Before Scaling AI
Many RIAs operate across 10, 15 or even 20 systems supporting customer relationship management, portfolio management, financial planning, document storage and communications.
Each platform may perform its intended function while the broader technology environment remains disconnected. Employees compensate by switching between applications, entering the same information more than once and manually managing handoffs. Adding a standalone AI product to that environment creates another disconnected destination. If an advisor has to locate information, copy it into an AI application and transfer the output into another platform, the workflow is still inefficient. The firm has added a step instead of removing one.
A connected firm doesn’t need to abandon specialized platforms for different functions. The underlying architecture should allow them to work together. Information needs to move securely between applications.
That foundation gives AI access to the right information without requiring employees to oversee the exchange.
Build AI Into Connected Workflows
Once the right connections are in place, firms should embed AI and automation into the processes employees already use.
Information captured during a client interaction should update records, trigger follow up tasks and support preparation for the next meeting. Employees shouldn’t have to perform the same action across several applications or remember every step that comes next. AI organizes unstructured information, generates summaries and identifies potential next steps. Automation routes the output to the correct platform and moves the process forward. Employees remain in familiar systems while much of the repetitive activity happens behind the scenes.
Smaller RIAs have a practical advantage here. One independent RIA we work with was spending an hour or more preparing for every client meeting: pulling notes from the CRM, digging through email threads, running performance reports in the portfolio accounting system, opening the planning software, then drafting an agenda from all of it. Across hundreds of meetings a month, that added up to thousands of hours a year. Nobody bought a new platform. We put a single button on the meeting record in the CRM advisors already used. Click it, and the system pulls the prior notes, the recent email history, the performance report and the current plan into one prep packet with a draft agenda. It went live for a handful of advisors first. They said what was missing, we changed it, and within a month every advisor in the firm was using it. A large institution would still be in vendor review.
Large institutions have to build standardized solutions for broad groups of users. Smaller firms build around their own service model, technology stack and internal processes, and they can afford to get it wrong on a small scale before they get it right.
That speed lets smaller RIAs improve their existing environments without replacing the entire technology stack.
Treat Architecture as Part of the Compliance Strategy
AI only creates value when it has secure access to the right data.
RIA leaders should know whether a solution transfers client information into a third party’s environment, which access controls apply and whether the provider could use the data to train external models. Those questions belong at the beginning of the evaluation.
Every new vendor introduces additional due diligence. Firms need a clear view of how the provider handles their data and who has access to it. Security, governance and data control should shape the architecture from the start. Addressing them early helps firms connect and automate workflows without creating unnecessary risk or complexity.
Smaller RIAs should bring the right stakeholders together early in the process. A focused group establishes requirements, evaluates risk and moves the initiative forward without creating an approval structure that brings progress to a halt.
Automate the Work That Keeps Advisors From Advising
Here’s the uncomfortable truth: AI will replace some of the work advisors perform.
Paperwork, data entry, meeting preparation, routine follow up and information gathering are already becoming easier to automate.
An advisor’s greatest value lies in judgment, perspective and relationships. Clients need someone who understands their goals, recognizes the context behind a financial decision and can help them act with confidence. Every hour spent moving information between systems is an hour that can’t be spent with a client. Smaller RIAs should use AI to reclaim that time. The right strategy helps advisors prepare faster and devote more attention to the responsibilities that require professional expertise.
Smaller RIAs win by building around how their people work, improving one valuable process at a time and refining each solution through real use. The giants will get there eventually. By the time they do, the firms that acted with focus and speed will already be spending that reclaimed time with clients.
About Ben Olsen:
Ben Olsen is the Founder and CEO of Beemo Automation, where he helps wealth management firms build practical, firm owned AI solutions that improve operations, strengthen compliance and give advisors more time to serve clients. A former financial advisor at both an independent RIA and Merrill Lynch, Ben later earned a master’s degree in applied data science and helped scale several high growth startups. Today, he brings his experience across wealth management, technology and AI to help RIAs move beyond off-the-shelf tools and build secure, enterprise-grade automation tailored to how their firms actually operate.
