BUILT FOR INDEPENDENT ADVISORS

AI for advisors who answer to clients first

Quarterly letters, plan revisions, and market commentary eat the hours you would rather spend with clients. AI gives you a faster first draft that respects the SEC Marketing Rule, fiduciary duty, and your firm voice. You still own the review and the send.

8 hrs/wk
Saved on client communications
2 days
Average plan revision turnaround
Compliance-aware
Drafts written for advisor review
5x
Prospects researched per week

The short answer

Yes, advisors can use AI without violating SEC rules or fiduciary duty, but the bar is real. The SEC Marketing Rule applies to AI-generated marketing the same way it applies to anything else you publish, Rule 204-2 still requires you to archive client communications, and the advisor stays the fiduciary no matter what drafted the output. Use compliance-aware AI environments (firm-deployed Copilot, Claude Enterprise, ChatGPT Enterprise) and keep client PII out of public tools.

Why independent advisors are using AI right now

AI is the assistant that drafts within compliance, not outside it. The first pass gets faster. The fiduciary review stays yours.

Client comms volume, handled

Quarterly letters, market updates, and one-off client questions get a solid first draft in minutes. You review, edit, and send. The work that used to eat your Friday afternoon stops doing that.

Sharper plan drafts

Pull together the discovery notes, risk profile, and goals into a clean draft plan you can edit. The structure is consistent, the language is plain, and the revision cycle gets shorter.

Compliance-aware first drafts

Prompts written for advisors keep performance promises out, force disclosure placeholders, and flag testimonial language. You still own the final review. The first pass just stops fighting you.

Market commentary on demand

Turn a Fed announcement, an earnings print, or a sector rotation into a 200-word client-ready note in your firm voice. Same source material, faster turnaround, fewer typos.

Prospect research, deeper

Before a discovery call, get a structured summary of a prospect's public profile, likely concerns by life stage, and questions you should be ready to answer. Walk in already knowing the room.

Social and blog content within the rules

LinkedIn posts and blog drafts that read like you wrote them, with the disclosure language already in place. The Marketing Rule still applies. The drafts are written so review is faster, not harder.

AI in your advisory practice, specifically

Think of AI as a team of specialists with no fiduciary authority. Each role drafts in your voice. You stay the advisor, the reviewer, and the signature on the letter.

AI as a Client Communicator

Drafts quarterly letters, market updates, and replies to client questions in your firm voice. Always a draft. You review, edit, and send.

Looks like
Draft a 300-word Q1 2026 client letter for retired clients in our balanced model. Cover the rate environment, our positioning, and what we did this quarter. Plain language. Include the standard disclosure block at the bottom verbatim. No performance promises. Output is a draft for advisor review.

AI as a Plan Drafter

Turns discovery notes, goals, and risk profile into a structured first-draft financial plan. You revise the substance. The skeleton is already in place.

Looks like
Using these discovery notes [paste], draft the structure of a financial plan for a 58-year-old couple targeting retirement at 65. Sections: current position, goals, gaps, recommended actions, open questions for the next meeting. Plain language. Flag any assumptions that need advisor confirmation.

AI as a Market Commentator

Takes a market event and produces a measured, client-ready commentary in the firm voice. Avoids predictions and cherry-picked data.

Looks like
Write a 200-word client note on today's Fed decision. Tone: measured, not alarmist. Cover what happened, what it means for diversified portfolios, and what we are not doing in response. No predictions about future rates. Include our standard market-commentary disclosure verbatim.

AI as a Prospect Researcher

Pulls together what is publicly known about a prospect ahead of a discovery call: career stage, likely planning concerns, and questions you should be ready for.

Looks like
Here is a prospect's LinkedIn summary [paste]. Build a one-page pre-call brief: career stage, likely financial planning concerns by life stage, three questions they will probably ask, and three questions I should ask them. Use only the information provided. Flag anything I should verify on the call.

AI as a Compliance First-Pass Reviewer

Reviews draft client communications and marketing copy against a checklist of common Marketing Rule and FINRA testimonial issues. A first pass, not a substitute for the CCO.

Looks like
Review this LinkedIn draft [paste] for SEC Marketing Rule issues. Flag any performance promises, implied guarantees, testimonial-style language without required disclosures, or cherry-picked claims. Return a numbered list of issues with the exact phrase to revisit. Do not rewrite the post. Output is a flag list for advisor and CCO review.

AI as a Content Writer

Drafts LinkedIn posts and blog articles in your voice, with the disclosure language already placed. Easier to compliance-review, faster to publish.

Looks like
Write a 180-word LinkedIn post for a fee-only advisor on the topic of Roth conversions in a down market. Educational tone, no performance promises, no testimonials. Audience is high-earning W-2 employees in their 50s. End with a soft CTA to schedule a planning conversation. Include our standard advisory-marketing disclosure verbatim at the end.
Honest about the line

Compliance, fiduciary duty, and AI in advisory

The SEC Marketing Rule, FINRA testimonial rules, Reg BI, and your fiduciary duty apply to AI-generated content the same way they apply to anything you write yourself. Recordkeeping requirements still apply. Your duty of care, duty of loyalty, and obligation to act in the client's best interest are not transferable to a model. Use AI to draft faster. Keep the review, the disclosure decisions, and the final sign-off where they belong, with the advisor.

Client PII and account data stay out of public AI tools

Names, account numbers, balances, and personal financial details do not go into ChatGPT, Claude, Gemini, or any other consumer AI surface. Use firm-approved environments with archiving, retention, and a written data policy. If you cannot archive it, you cannot send a client communication through it.

AI-generated marketing copy is still subject to the SEC Marketing Rule

The Marketing Rule applies to the content, not the author. Performance promises, cherry-picked testimonials, implied guarantees, and missing disclosures are violations whether you typed them or an AI did. Compliance review of AI-drafted marketing is not optional.

Every AI-drafted client communication gets advisor review before sending

You are still the fiduciary. AI does not assume your duty of care, your duty of loyalty, or your obligation to act in the client's best interest. Treat AI output as a junior associate's first draft. You read it, you edit it, you sign it.

Communications must be archived per recordkeeping requirements

SEC Rule 204-2 and FINRA Rule 4511 require advisers and broker-dealers to retain client communications. AI-assisted drafts that go to a client are communications. Use a firm-approved environment that archives prompts, drafts, and final sent versions on the same retention schedule as the rest of your books and records.

How advisors use AI Monday morning

Six concrete uses that pay back the time investment in the first week.

Advisor reviewing a printed client letter at a desk

Quarterly client letter drafted in your voice, with disclosures

Paste the quarter's themes and your firm perspective. Get back a draft letter in plain language with the standard disclosure block already in place. Edit, send, archive.

Two professionals meeting across a small conference table

Prospect research summary before the discovery call

A one-page pre-call brief built from public information: career stage, likely planning concerns, and the three questions they are most likely to ask. Walk in prepared.

Financial plan documents and a notebook on a desk

Plan revisions that match the client's actual goals

Drop in the meeting notes from the last review. Get a clean revision draft that reflects what the client actually said. Faster cycle, fewer back-and-forth emails.

Stock market charts displayed on a monitor

Market commentary you would actually email

Turn a Fed decision, an earnings print, or a sector move into a measured client note in 10 minutes. Same firm voice. Same disclosure block. Faster turnaround.

Laptop showing a social media draft in a clean office

LinkedIn posts that pass compliance the first time

Drafts written with the Marketing Rule in mind from the start. No performance promises, no testimonial framing, disclosures already placed. Less time bouncing posts back to the CCO.

Advisor typing a reply on a laptop with a coffee cup nearby

Client questions answered with a draft response, ready to review

Inbound client question gets a structured first-draft reply in your firm voice. You add the personal context, check the facts, and send. The blank page is gone.

Copy client letter prompt

Try it yourself, draft a quarterly client letter

Paste in this quarter's themes, your firm's perspective, and your standard disclosure block. The output is a DRAFT for advisor review, not a finished communication. You read it, edit it, fact-check it, and sign it before anything goes to a client.

Fill in your details

Stick to factual context. The model should not invent market data.

Pick one segment so the tone and references land cleanly.

The model is instructed to include this verbatim. Do not rewrite it after.

Used for style only, not copied verbatim.

Your prompt

live preview
You are drafting a quarterly client letter for an independent registered investment advisory firm. The output is a DRAFT for advisor review, not a finished communication. The advisor will edit, fact-check, and add personal context before sending.

Quarter: {Q1 2026}
Market summary (objective, this quarter): {Equities up modestly, rate cuts paused, credit spreads tightened, energy outperformed.}
Our firm's perspective: {We stayed at our strategic allocation and used the rate-cut pause to rebalance back to target weights.}
Key changes in client portfolios this quarter: {Rebalanced equity sleeves to target. Added short-duration treasuries. Trimmed concentrated single-stock positions where applicable.}
Client segment for this letter: {Retired, accumulating, business owner}
Tone: {Measured, optimistic, cautious}
Required disclosures (include verbatim, do not edit): {Paste your firm's standard quarterly-letter disclosure block exactly as it should appear.}
Examples of our firm voice (for style only, do not copy phrases): {Paste 2-3 short paragraphs from past letters that capture how your firm sounds.}

Write a quarterly client letter in the firm voice for the specified client segment. Use the market summary and firm perspective as the substantive backbone. Reference the key portfolio changes plainly, without recommending unrelated actions. Match the requested tone.

Rules:
- Keep the language plain. Match the firm voice.
- Include the required disclosures verbatim at the end.
- Do not make performance promises. Do not predict future market direction. Do not imply guarantees.
- Do not include testimonials or testimonial-style framing.
- No marketing cliches. No vendor speak.
- Be specific about what we did this quarter, not generic about markets.
- If a fact is missing or unclear, write [advisor to confirm] in the draft rather than inventing a number.

Output format:
1. Greeting
2. Market context (3-4 sentences)
3. Portfolio implications (3-4 sentences)
4. Action items (a short list of what we did or are doing, with [advisor to confirm] flags where appropriate)
5. Sign-off
6. Required disclosures, verbatim
Open in Claude

Frequently asked

Can RIAs use AI without violating the SEC Marketing Rule?

Yes, if your AI-generated marketing follows the same rule everything else has to follow. No performance promises, full and fair disclosures, and any testimonials or endorsements still need the disclosures the rule requires (compensation, conflicts, material facts). The fiduciary duty does not transfer to the AI. You are still the adviser of record, you still own what gets published, and you are still on the hook if the output misleads a client or prospect.

Will AI replace financial advisors and planners?

No for the parts that actually matter: the client relationship, fiduciary judgment, sitting across from someone in a market drawdown, knowing when a plan needs to change because life changed. AI is good at the volume work that keeps advisors from doing those things, client emails and review prep, plan revision drafts, market commentary, meeting summaries. The advisors winning with AI are using it to free up time for the human work, not replace it.

Is it ethical to use AI for client communications and plan drafts?

Yes, with conditions. The advisor reviews every output before it reaches a client, client PII (names, account numbers, holdings, tax IDs) stays out of public tools like ChatGPT.com or Claude.ai, and any client communication that gets sent has to be archived per SEC Rule 204-2 the same as anything else. If your archiving system does not capture AI-assisted comms today, fix that before you scale the workflow.

What AI tool should an RIA start with?

Start with a firm-deployed environment, Microsoft Copilot for Wealth, Claude Enterprise, or ChatGPT Enterprise, where data handling and retention are governed by your contract instead of a public consumer ToS. Never paste client data into public ChatGPT or Claude.ai. The tool matters less than the deployment, and the deployment is the part your compliance officer cares about.

How long does it take to learn AI for an advisory practice?

About 30 minutes to start using it for marketing copy and market commentary. About 2 to 3 hours to set up a compliance-aware workflow with your firm-deployed tool of choice. Then weeks to fully integrate it with your archiving system, your CRM, and the advisor review gates that keep you inside Rule 204-2 and the Marketing Rule. The first month is the heavy lift. After that, every prompt makes you faster.

Should I tell clients I use AI?

Yes, and increasingly you have to. Some state regulators and the SEC are heading toward explicit disclosure requirements for AI use in advice and client communications, and the direction of travel is clear. Transparency builds trust faster than secrecy, and clients who hear it from you are not surprised when they hear it from the news. Tell them what you use AI for, what stays human, and what stays inside the firm.

Can a wealth firm hire you to build something custom?

Yes. We build compliance-aware AI deployments for RIAs and wealth firms, archiving hooks, advisor review gates, and CRM integration with Wealthbox or Redtail, plus the marketing, commentary, and meeting-prep workflows that sit on top. Free 30-minute scoping call to see if we are a fit. The contact form below routes the inquiry directly.

Want one built for your advisory firm?

We build custom AI workflows for RIAs and fee-only planners, including compliance-aware deployments with archiving, advisor review gates, and firm-approved environments. Bring your client comms backlog, your plan template, and your disclosure block. We will scope a build that fits how your firm actually works. Free 30-minute scoping call.