Financial Advisors

AI for client communications and review prep at an RIA

By Matthew HenryLast updated July 16, 20269 min read

Key takeaways

Client comms and review prep are the highest-value, lowest-drama place most RIAs should start with AI, because the work is real, repetitive, and mostly reads from data you can clean.
The danger is that fluent, confident, and wrong looks exactly like fluent, confident, and right to a client. A human has to own every output that reaches a client or a file.
Anything client-facing or promotional that AI helps produce is still your advertisement under the SEC Marketing Rule and still your book-and-record. Draft with AI, but supervise and retain like it came from your own pen.
Meeting-note tools that write structured notes back into your CRM are the fastest safe win. Investment judgment and the client relationship itself stay human.

This is where AI actually earns its keep at an advisory firm, and where it can quietly hurt you. It is real leverage for meeting notes, review prep drafts, and client communications, but only if the CRM data it reads is clean, a human reviews every output, and you treat any client-facing AI copy as an advertisement under the Marketing Rule and a record you have to keep.

Last updated: July 16, 2026

Why is this the best place for an RIA to start?

Because the work is real, repetitive, and mostly reads from data you can actually clean and control. Review prep and client communications eat hours every quarter, the inputs live in your CRM and planning software rather than in someone’s untouchable judgment, and the output goes through a human before it reaches a client. That combination, high volume plus cleanable data plus a natural review step, is exactly the profile of a workflow AI helps rather than harms.

The industry is already voting with its feet here. Meeting-note tools are one of the fastest-growing AI categories among advisors, with roughly 18% of teams adopting one (Kitces Research), and Schwab found that 59% of advisors believe AI will have a direct, measurable impact on client relationships within the next year (Schwab Advisor Services). That is not hype, it is advisors finding the one place the leverage is obvious. The trick is capturing it without creating a compliance mess.

Where exactly does AI help, and where does it turn dangerous?

It helps up to the point where judgment or a client’s eyes are involved, and it turns dangerous the moment it crosses that line unsupervised. On the safe side: transcribing and structuring a client meeting into notes that write back to the CRM, turning those notes into a review-prep packet, drafting a first version of a market-commentary email, summarizing a client’s situation from clean records so you walk into the meeting prepared. All of that is getting you to a first draft faster, with a human still owning the finish.

On the dangerous side: letting AI state a specific number it pulled from stale data, letting it draft and send a client email with nobody reading it, letting it make anything that resembles a recommendation. Fluent, confident, and wrong looks identical to fluent, confident, and right to a client who trusts you. The model will state a wrong cost basis or a superseded beneficiary with the same smooth tone it uses for the truth. Your clients are already wary, only 38% of affluent investors are even somewhat comfortable with AI in their financial relationship (Cerulli Associates), so a single confident error in front of one of them costs more than the tool ever saved.

How do I stay clean under the Marketing Rule and books-and-records?

Treat every client-facing thing AI touches as if you wrote it yourself, because as far as the SEC is concerned, you did. If AI helps produce something promotional or client-facing, it is still your advertisement under the Marketing Rule, subject to the same fair-and-balanced and substantiation standards, and it is still a communication you may have to retain and produce under the books-and-records rule. The model does not absorb any of that responsibility. You keep all of it.

So the rules are boring and non-negotiable. A named human reviews and approves every output before it reaches a client. You retain the final client-facing communication the same way you always have. You do not let AI make performance claims or recommendations that you have not substantiated and cannot stand behind. And your CCO can see what the tools are producing. Do that and AI is a drafting assistant that speeds you up. Skip it and AI is an unsupervised person publishing advertisements in your firm’s name.

What should stay human no matter how good the tool gets?

The relationship and the judgment. Those are the business.

Let AI assist	Keep fully human
Transcribing and structuring meeting notes	The actual advice and any recommendation
Drafting review-prep packets from clean data	The judgment call on what the client needs
First drafts of general commentary emails	The client relationship and hard conversations
Summarizing a client’s documented situation	Anything an examiner would call advice
Building agendas and follow-up checklists	Final sign-off on everything client-facing

It is a people business. AI is at its best when it clears the busywork so your advisors spend more time in the conversation, not less. The firms that get this wrong try to automate the conversation itself, and clients feel it immediately.

Your next step

Before you turn a comms or review-prep tool loose on client data, make sure the data is clean and the guardrails are written. The AI Readiness Audit checks exactly that, whether your CRM data can be trusted, whether the workflow is documented, and where the Marketing Rule and Reg S-P lines fall. It is $750 and credits toward the build.

Start with the free fit call. Read should advisors use ChatGPT with client data for the data-handling rules, and how to clean up your CRM before using AI so the review-prep output is actually trustworthy.

Key figures

Figure	Value	Source
Advisory teams that have adopted AI meeting-note tools, one of the fastest-growing AI categories among advisors	~18%	Kitces Research, The Technology That Independent Financial Advisors Actually Use And Like, 2025
Affluent investors who are at least somewhat comfortable with AI in their financial relationship, essentially flat from 39% in 2024	38%	Cerulli Associates, U.S. Retail Investor Edition, Feb 2026
Advisors who believe AI will have a direct, measurable impact on client relationships within the next year	59%	Schwab Advisor Services, RIA and AI Research Study 2026

“The meeting-note tool that drops a clean, structured summary back into your CRM is the closest thing to a free lunch AI offers an advisor. But the second you let it draft the actual client email and hit send without a human reading it, you've turned a productivity win into a Marketing Rule problem you didn't know you had. Use AI to get to the first draft faster. Never use it to skip the person who's accountable for what the client reads.”
Matthew Henry, Co-Founder & CEO, EffiWise Solutions

The next step

AI Readiness Audit

A paid diagnostic that scores your data hygiene, process documentation, systems, and team readiness, then hands you a verdict and a roadmap. The paid front door to everything else we do.

$750, fixed. The fee credits toward the AI build.

Get started Learn more about the AI Readiness Audit

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