AI meeting tools are moving beyond simple transcription. What started as automated note-taking is now expanding into meeting preparation, follow-up drafts, and CRM updates. Advisor-focused tools have also reported tens of thousands of users.
For RIAs, the value is straightforward: AI can reduce the time spent preparing for meetings, documenting conversations, and managing follow-up. The advisor still needs to review the output, make the recommendations, and remain responsible for the client relationship.
How Can AI Help RIAs Prepare for Client Meetings?
Before a meeting, AI can pull together previous meeting notes, planning gaps, upcoming deadlines, and relevant client information. This gives advisors a faster way to review the relationship and identify topics that need attention.
The advisor should still set the agenda and decide what information matters. AI can organize the material, but it should not determine what advice a client needs. Firms should also limit what information the tool can access and define which sources it is allowed to use.
How Can AI Improve Meeting Notes?
One of the most practical uses of AI is documenting the conversation while the advisor stays focused on the client. Meeting tools can transcribe conversations, identify speakers, and create structured notes covering client goals, and open questions.
The advisor should review the summary before it becomes part of the client record. AI can capture what was discussed, but it should not create recommendations, figures, or commitments that were never made.
Recording also requires attention to consent requirements. RIAs should follow applicable state and federal recording rules and keep privileged or sensitive conversations outside the notetaking workflow when appropriate.
How Should RIAs Use AI for Follow-Up and CRM Updates?
After a meeting, AI can turn the approved notes into a follow-up email, organize tasks by owner and due date, and populate selected CRM fields. This can reduce the administrative work that often follows every client conversation.
The safest approach is to treat these outputs as drafts. Advisors should confirm that the email accurately reflects the conversation and that the task list includes only commitments the client actually made. CRM updates should also be limited to approved fields, with records showing what the system proposed and what the advisor accepted.
What Compliance Controls Should RIAs Have for AI Meeting Tools?
AI meeting tools create the same need for supervision as other technology used in advisory operations. RIAs should have written policies covering approved tools, permitted data, recording consent, advisor review, retention, and vendor access to client information.
The SEC’s 2026 exam priorities include the use of AI in firm operations. Advisers also need to understand how AI-generated notes fit within their existing books-and-records policies. Under Advisers Act Rule 204-2, relevant records generally must be retained for five years, with the first two years readily accessible.
Vendor terms also matter. Firms should understand whether client data is used for model training, how sensitive identifiers are handled, what audit trails are available, and whether approved records can be exported to the firm’s existing archive.
What Other Operational Areas Can Help RIAs Deliver More Client Value?
AI can reduce administrative work, but there are other operational processes that can also create value without changing the investment strategy.
Securities class action recovery is one example. Settlements totaled approximately $8 billion in 2025, creating a significant pool of potential recovery for investors. Platforms like 11th.com automate the process of identifying settlements, matching holdings, filing claims, and delivering payouts.
For RIAs, recovery alpha can complement other operational improvements by helping eligible clients capture value that might otherwise be missed.
What Will AI-Powered Meeting Workflows Look Like in 2026 and Beyond?
AI meeting tools are becoming part of a broader shift toward automated advisory operations. Meeting preparation, note-taking, follow-up, and CRM updates can increasingly happen within one connected workflow.
The key distinction will remain between automation and advice. AI can organize information and prepare drafts, while the advisor reviews the output, makes the recommendation, and owns the final client communication.
FAQ
Can AI replace an advisor’s meeting notes?
No. AI can create a transcript and draft a summary, but the advisor should review and approve the final note.
Do AI meeting notes have to be retained?
Approved notes and relevant client communications may be subject to the firm’s books-and-records requirements.
What should AI do before a client meeting?
AI can organize previous notes, planning gaps, deadlines, and other relevant information. The advisor should still set the agenda and determine the advice.
How should AI-generated follow-up emails be handled?
They should be treated as drafts. The advisor should review the content, confirm the facts, and remove any unsupported performance claims before sending.
What vendor terms should RIAs review?
Important areas include recording consent, data retention and model-training policies, masking of sensitive information, audit trails, and the ability to export approved records into the firm’s archive.
