AI for financial advisors and wealth managers: what it's good for, and what to ask compliance first
A review meeting goes well when you remember the client's last three emails, not just their portfolio. Here is how advisors and wealth managers are using AI in 2026: the tools by name with their published prices (Claude for Financial Advisors included, which has none), the kinds they fall into, the rules that apply whichever one you pick, the questions to put to compliance, and a practical way to walk into each review already caught up.
The short answer: AI is useful to an advisor for the work around the advice, not the advice itself. Summarising long material, drafting the follow-up, catching up on a client before a review. The regulators have not written a separate rulebook for it: for firms under FINRA, its rules apply to an AI tool the way they apply to any other tool. What decides which tools you may use is your firm. If you are registered through a broker-dealer or work inside a larger RIA, you will usually need a firm-approved tool, and the first step is a conversation with compliance, not a download.
This guide is written for the advisor, not the firm's technology committee. It covers the tools by name and price, what they actually do, the rules that follow you from tool to tool, what to ask before you use any of them, and a way to prepare for review meetings that works from material you have chosen to keep. Regulatory quotes are from FINRA and SEC pages read on 23 September 2026; vendor descriptions and prices in the named-tools section were read on 12 October 2026, with links in the sources note below. None of this is legal or compliance advice; your firm's policies govern.
AI tools for financial advisors: the names, grouped by job, with prices where published
Here are the tools an advisor is likely to come across, named and grouped by the job each one does. This is not a ranking. The tools do different jobs, and which one fits depends on your practice, your firm's approved-tools list and your custodian. Each description is from the maker's own site and each price is as the maker publishes it, all read on 12 October 2026 from the US pages. Prices may exclude tax and change often, so confirm at the source before you buy. Where a maker publishes no price, we say so.
Meeting assistants built for advisors (they join or transcribe the call)
If you searched for an "AI assistant for financial advisors", this is the category most results mean: software that sits in the client meeting, takes the notes and does the admin afterwards. Equerry, the publisher of this guide, is not in this category and does not join or record calls; it is covered at the end of the page.
- Jump. Jump's home page calls it "Trusted AI for advisors & financial professionals". Price: its pricing page opens on annual payment and lists Meet, marked as the core plan, at "$100 per advisor/mo" paid annually, or "$120 per advisor/mo" paid monthly, with two add-ons, Onboard and Grow, at "$50 per advisor/mo" each paid annually or "$60 per advisor/mo" paid monthly; the page says "Save up to 20% with annual payments". Enterprise is "Contact sales". Meet carries a "Try for free" button.
- Zocks. Its pricing page describes Zocks as "the privacy-first AI platform designed for solo advisors, mid-size practices, and enterprises alike", and says "All client conversations are confidential, never recorded." Price: Essentials is $67 per user a month billed annually or $80 billed monthly; Professional $117 or $140; Ultimate $184 or $220; the Enterprise Platform is "Contact us". The page offers a 14-day free trial (credit card required).
- Focal. Focal describes its Pro plan as "For financial advisors and RIA teams." Price: Pro is listed at $100 a month billed annually, or $120 a month billed monthly, with "Free 14-day trial included"; the page does not say whether the figure is per user. Enterprise is "Contact Us".
How each of these handles recording, and which CRMs they write back to, is covered in the category section below. Whether any of them fits your firm's consent and recordkeeping rules is a question for compliance, not the vendor.
General assistants, and their industry editions
- ChatGPT (OpenAI). A general-purpose assistant. Price: OpenAI's help center lists ChatGPT Plus at "$20/month (billed monthly)" and says "we do not support annual billing or the option to pay for multiple months in advance." The other individual and business plans are priced on chatgpt.com/pricing. OpenAI also offers ChatGPT for Financial Services, announced on 10 September 2026, which its own page says "is available to eligible financial institutions" and was built in "design partnership with Morgan Stanley and Evercore"; the page names neither advisors nor wealth management, and publishes no price. It is an institutional product, not something an individual advisor signs up for.
- Claude (Anthropic). A general-purpose assistant. Price: Anthropic's pricing page lists Pro at $20 a month billed monthly, or $17 a month on the annual plan ($200 billed up front), and Max "From $100" a month. For a firm, the Team plan's standard seat is $25 per seat a month billed monthly, or $20 billed annually, "For teams of 2 to 150".
- Claude for Financial Advisors (Anthropic). Announced on Anthropic's blog on 14 September 2026, this is Claude plus a set of connectors and workflows for advisory firms: "Financial advisors can now connect Claude to the custodians, portfolio platforms, CRMs, and planning tools they depend on." The partners Anthropic lists are Addepar, BlackRock, Charles Schwab, Envestnet, iCapital, Orion, SS&C Black Diamond, Vanguard, Wealthbox, Wealth.com and Zocks, and the product page adds that Claude "also works with Microsoft 365, Salesforce, Docusign, and Box." The announcement lists eight skills: Advisor onboarding, Alternative investments brief, Compliance and AI policy, Estate and tax brief, Portfolio rebalance review, Post-meeting notes and follow-up, Pre-meeting prep, and Prospect intake; its plugin page lists six of them as example uses, with the estate and tax brief shown as two. On who it is for, Anthropic writes: "We recommend Enterprise plans for registered investment advisers", pointing firms without an Enterprise licence to a request form, while the product page says "Claude comes configured for an independent practice." On control: "Investment recommendations, client communications, compliance determinations, and other regulated activities remain subject to human review and approval." Price: none published for the advisor edition on the blog, product or plugin page; the plans above are Claude's own, and Enterprise is arranged with Anthropic directly. What a "Compliance and AI policy" skill means for your firm's obligations is, again, your compliance team's call, not the vendor's.
One more kind of tool sits between the meetings rather than in them: a personal assistant that keeps what each client sent you and briefs you from it. Equerry is one, and it is covered at the end of this page rather than here, so the list above stays about other makers' products.
By tool: Claude for financial advisors
If Claude is the tool you are weighing, Claude for financial advisors goes further than this page: what Anthropic launched on 14 September 2026, which firms it is built for, what a solo or small-firm advisor can use today on an ordinary Claude plan, and what to keep out of the paste box.
What advisors actually use AI for
Drawing on a survey of firms and engagement with other regulators, FINRA's 2026 Annual Regulatory Oversight Report, in a section marked new for 2026, found: "the top GenAI use case among FINRA member firms is 'Summarization and Information Extraction'." The report says firms have focused on efficiency gains, "particularly with respect to internal processes and information retrieval."
That matches the day-to-day of a practice. The jobs advisors hand to AI first tend to be:
- Meeting notes. A summary, the decisions and the action items, instead of an hour of write-up after each review.
- The follow-up. A first draft of the recap email you would have written anyway, for you to edit and send.
- Reading. Condensing a fund document, a plan update or a long client email thread into the three things that matter.
- Preparation. Getting back up to speed on a household before the annual review: what changed, what was promised, what is still open.
What these have in common is that a person reads the output before a client sees it. That is also where the risk is lowest, and it is the right place to start.
The kinds of tools advisors evaluate
Search results for this topic are mostly ranked lists. A list is less useful than knowing which kind of tool you are looking at, because the kind decides what compliance will ask. There are three main categories, described here without ranking. Vendor descriptions are from each company's own site, read on 23 September 2026 and again on 12 October 2026; features change, so check the vendor directly.
1. Advisor-specific meeting assistants
Built for wealth management: they take notes on client meetings, draft follow-ups, and write the results back into the advisor's CRM and planning software. Examples of the category:
- Jump calls itself "Trusted AI for advisors & financial professionals," lists "40+ two-way integrations" including Redtail and Wealthbox, and says "Recording is optional, not required. Choose transcript-only, summary-only, or full audio and video recording."
- Zocks describes itself as "The AI Assistant for financial advisors," says it can "automatically update your CRM, policy system, data warehouse and more," and states that it "Never records your client conversations."
- Focal calls itself "The Agentic AI Assistant for Financial Advisors" and lists "AI note-taking, summaries, tasks, email drafts," with "CRM sync" to a list of named CRMs.
Several vendors in this category make compliance-related claims about their own products. Those are the vendor's statements; whether a tool fits your firm's supervision and recordkeeping obligations is a decision your firm makes, usually as a firm-wide purchase rather than an individual one.
2. General-purpose chat assistants
ChatGPT, Claude, Copilot, Gemini and the rest. Strong at drafting, summarising and thinking through a question, and not built around an advisory practice. The distinction that matters is the edition: a firm-licensed business edition, set up and reviewed by your firm, is a different thing from a personal account on your phone. Many firms permit only the first, and some permit neither for client work. The industry editions named above (Claude for Financial Advisors, ChatGPT for Financial Services) sit on the firm side of that line: they connect to the firm's platforms, and Anthropic and OpenAI both describe them in terms of the firm's plan, not an individual's.
3. Drafting help inside email and documents
Assistants built into the mail client or the office suite, which rewrite and summarise where you already work. They sit inside a system your firm already runs, which can make them simpler to evaluate, though an AI add-on is usually reviewed in its own right. They are also the narrowest in what they do.
The rules that follow you from tool to tool
FINRA is the self-regulatory organization for broker-dealers: it writes and enforces the rules for its member firms and their registered representatives. Investment advisers are regulated by the SEC or, for smaller firms, by their state securities regulator, and an advisor who is also registered through a broker-dealer answers to both. Regulation S-P, below, applies to broker-dealers and to SEC-registered advisers. Picking a different product does not change the obligations underneath. Four points from primary sources are worth knowing before any conversation with compliance.
- FINRA's rules are technology-neutral. Regulatory Notice 24-09 (27 June 2024): "The rules apply when member firms use AI, including Gen AI or similar technologies, in the course of their business, just as they apply when member firms use any other technology or tool." The 2026 oversight report adds that using generative AI "can implicate rules regarding supervision, communications, recordkeeping and fair dealing."
- A drafted message is still your communication. The same notice: "the content standards of Rule 2210 (Communications with the Public) apply whether member firms' communications are generated by a human or technology tool." If you are registered through a FINRA member firm and an assistant writes the recap you send, it is held to the same standard as one you typed.
- Unapproved channels have been expensive. On 14 August 2024 the SEC announced charges against 26 broker-dealers, investment advisers and dually registered firms, with combined penalties of $392.75 million, after finding "pervasive and longstanding use of unapproved communication methods, known as off-channel communications." Those cases concerned business communications kept outside the firms' approved systems, not AI, but the lesson carries over: using a tool the firm has not approved, for work the firm must supervise or keep, is a firm-level problem.
- Client information and outside services. The SEC adopted amendments to Regulation S-P on 16 May 2024. They apply to broker-dealers, investment companies and SEC-registered investment advisers, among others, and require, as part of an incident response program, written policies and procedures "reasonably designed to require oversight of service providers." The compliance dates were 3 December 2025 for larger entities and 3 June 2026 for smaller ones, so both compliance dates have passed. An outside AI service that handles client information is the kind of arrangement that oversight is aimed at; whether a particular tool falls under your firm's procedures is your compliance team's call.
What to ask compliance before you use any AI tool
A short, specific set of questions gets a faster and more useful answer than "can I use AI?":
- Is this tool approved, and which edition? A firm-licensed version and a personal one may get different answers.
- What client information may go into it? Names, account details and planning data are often treated differently from your own notes and reminders.
- Is what it produces a record? Meeting notes, summaries and drafted emails may need to be kept in the firm's systems. Ask where they have to live.
- What do clients need to be told? Particularly before a meeting is recorded or transcribed.
- Has the vendor been reviewed? Under Regulation S-P the firm oversees its service providers; a tool you signed up for yourself has not been through that.
- Can I use it for my own preparation? Some firms draw the line at client-facing output and are more relaxed about private prep work. Ask separately.
If you run your own RIA and are your own chief compliance officer, the questions are the same; you are just the person answering them, and your written policies should say what you decided.
For wealth managers
If you came here for AI for wealth managers rather than for a single advisor, most of what you will have found elsewhere is firm-level: platform connectors, custodian integrations, enterprise licences. That is the right level for anything that touches portfolio data, and it is not a decision one person at the desk makes. This page does not try to be a procurement guide. What it covers is the part of the job that stays personal whatever the firm buys: the household's correspondence, what each member of the family asked for, what you said you would look into.
Three things are different at a wealth-management desk, and all three push the same way:
- Households are more complex. Trusts, an operating business, two or three generations, an outside attorney and a CPA. The email you need before a review is as likely to be from the family's lawyer as from the client, and there are more of them.
- More of the tooling is chosen for you. At a bank, a private bank or a larger RIA, the platforms, the licence and the approved-tools list are set above you. The compliance question is usually "which approved tool, for which use", not "whether".
- Reviews are further apart and the stakes of forgetting are higher. A detail a client mentioned eight months ago about a property sale or a grandchild's education matters more, and is harder to find, than in a practice that sees clients quarterly.
So the footing is the same as for any advisor: use the firm's tools for the firm's data, put the same questions to compliance, and treat your own preparation between meetings as a separate, smaller question that you can usually answer sooner.
Where AI earns its keep: the review meeting
Most advisors walk into an annual review knowing the numbers. The planning software shows the allocation, the performance and the drift. What is harder to have to hand is the relationship: the email in March where the client mentioned their daughter's wedding, the question about long-term care they asked in June that you said you would look into, the note from the last meeting that they want to talk about selling the rental. Clients notice when you remember those things, and notice more when you do not.
A preparation routine that works with or without software:
- Two days before: reread the notes from the last review and pull out every open item and promise.
- Scan the correspondence since then. Not every email, just what the client raised: questions, worries, life events, anything with a date on it.
- Write a one-page brief: what changed in their life, what you owe them, what they are likely to ask. Keep the numbers on the planning report where they belong.
- Straight after the meeting: capture the decisions, the new promises and anything personal they mentioned, while it is fresh. A two-minute voice note on the way out beats a careful write-up tomorrow.
- Put the follow-ups on a date. Each promise gets a day, not a "soon."
The slow part is step two, and it is exactly the "summarization and information extraction" work FINRA says firms are using AI for. The question is only which tool, with what access, is allowed to do it for you.
A personal assistant for your own preparation
Equerry is a personal assistant who helps you get things done, and it works the way you would work with a human one: you give it what matters, and it keeps track. It is not an advisor platform. It does not join, record or transcribe meetings or calls, it does not connect to a CRM, a custodian or planning software, it does not read your inbox, and it does not give investment advice. What it does is help with the preparation and follow-through above, from material you chose to give it.
First, the compliance question applies here too. Equerry is an outside service, and whatever you send it is processed by us and by the providers named on our AI disclosure page. If you are under a broker-dealer or a firm with an approved-tools list, ask before you send it client correspondence. Some advisors will get a yes for private preparation notes and a no for client email; follow the answer you get.
Where it is allowed, this is how it fits a review cycle:
- CC or forward the thread. Your Equerry has its own email address. Forward the client's March email, or CC it on a live thread, and it can be asked about next week or next quarter. Replies that keep the address on the thread keep arriving. The original stays in your own mailbox.
- Save notes, documents and screenshots. Type a note after a call, or share a PDF or a screenshot to it from your iPhone.
- Dictate the debrief. Record a voice note in Equerry walking out of the review: the decisions, what you promised, the personal detail you do not want to lose. Ask about it later in plain words.
- Get briefed before the next one. If you allow calendar access, Equerry keeps a snapshot of your events from today through the next 14 days (titles, start and end times, locations and attendee display names, never event notes, meeting links or email addresses), and if you set up Meeting Prep, it puts together a short brief before a meeting from what you have saved. Calendar titles often name clients, so include the calendar in the question you put to compliance. You can also just ask: "what has the Harrisons' email said since our last review?"
- Keep the promises on a date. Ask it to remind you to send the long-term-care comparison on Friday, and it will.
In one picture, for the review-meeting problem this page is about, with a household like the one in the wealth-management section above:
| What you send | The Harrisons' March email about selling the rental, forwarded to your Equerry address; the live thread with the family's attorney about the trust amendment, with Equerry on the CC line; the updated plan PDF, shared from your iPhone; the voice note you recorded in Equerry walking out of the last review. |
| What you ask | "Two days before the Harrisons' annual review: what have they and their attorney raised since we last met, and what did I promise to look into?" |
| What you get back | A plain-words answer drawn from those emails, that PDF and that voice note. When it draws on a note you saved, it carries a source chip: tap it to see the passage Equerry used and open the original. If you set up Meeting Prep, a short brief arrives before the review built from the same material; if you asked for a reminder, a push on the day you picked with the text you wrote. |
That makes an answer something you can check rather than take on trust, which is how a memory aid should work.
| Advisor meeting assistant | Equerry | |
|---|---|---|
| Who usually buys it | Often the firm, or the advisor with the firm's sign-off | You, for your own preparation, where your firm allows it |
| How material gets in | It joins or transcribes the meeting | You forward or CC an email, save a note, share a PDF or screenshot, or dictate a voice note in Equerry |
| CRM and planning software | Writes results back, per each vendor's integrations | No connection |
| Books-and-records role | Depends on the vendor and your firm's setup | None. It is not an archiving or recordkeeping system; keep your firm's records where your firm says |
| Best at | Capturing the meeting itself and the admin after it | The relationship between meetings: what the client said, what you promised, what is due |
The two are not competing for the same job. A firm-approved note taker handles the meeting and the CRM; a personal assistant handles your own memory of the client across months. Plenty of advisors will need only the first. If what you lose between reviews is the thread of the relationship, the second is the one worth asking compliance about.
Sources, all read 2026-09-23 unless marked. FINRA: Regulatory Notice 24-09 (27 June 2024); 2026 Annual Regulatory Oversight Report: GenAI; About FINRA; Investment Advisers (investor education page). SEC: press release 2024-98 (14 August 2024); Enhancements to Regulation S-P: A Small Entity Compliance Guide. Vendor descriptions from each company's own site, read 2026-09-23 and re-read 2026-10-12: jump.ai, zocks.io, meetwithfocal.com. For the named-tools section, all read 2026-10-12: Anthropic, Claude for Financial Advisors (blog, September 14, 2026), Claude for financial advisors (product page), Financial Advisors plugin and Claude pricing. OpenAI Help Center, What is ChatGPT Plus?; OpenAI, Introducing ChatGPT for Financial Services (September 10, 2026). Jump, Pricing. Zocks, Pricing. Focal, Pricing. Named as category examples only; not a ranking or an endorsement. Vendors change their products and pages often; where a vendor's current page disagrees with this one, the vendor's page is right. This page is general information, not legal, compliance or investment advice.
Frequently asked questions
What AI tools do financial advisors use?
Mostly three kinds. Advisor-specific meeting assistants that take notes on client meetings, draft the follow-up and write back to the CRM (Jump, Zocks and Focal are examples, each built for financial advisors, by its own description on its own site, read 2026-09-23). General-purpose chat assistants, often in a firm-licensed edition, used for drafting and summarising. And drafting help inside the email client. Since 14 September 2026 there is also an advisor edition of a general assistant: Anthropic's Claude for Financial Advisors connects Claude to platforms such as Charles Schwab, BlackRock and Addepar, and Anthropic recommends its Enterprise plan for registered investment advisers (Anthropic's own pages, read 2026-10-12). FINRA's 2026 oversight report says the top generative-AI use case among member firms is "Summarization and Information Extraction", which matches what most advisors reach for first: turning long material into something they can read before a meeting.
Can financial advisors use ChatGPT?
FINRA has not banned it; FINRA says it intends its rules "to be technologically neutral" and "apply when member firms use AI, including Gen AI or similar technologies" (Regulatory Notice 24-09, 27 June 2024). Whether you personally may use it is your firm's call, and many firms allow only an approved, firm-licensed edition, or none. Two practical points either way: at a FINRA member firm, anything you send a client that a tool drafted is held to the same content standards, since FINRA says the Rule 2210 content standards apply "whether member firms' communications are generated by a human or technology tool"; and pasting client details into a personal account puts them with a service your firm has not reviewed. If you are under a broker-dealer, ask compliance before you try it.
What should an advisor ask compliance before using AI?
Five questions cover most of it. Is this tool, or this edition of it, approved for the firm? What client information may go into it, if any? Does anything it produces count as a record the firm must keep, and where does that record live? Do clients have to be told or asked before a meeting is recorded or transcribed? And, for an outside service, has the firm reviewed the vendor the way it reviews other service providers? Since the 2024 amendments to Regulation S-P, SEC-registered advisers and broker-dealers need written procedures "reasonably designed to require oversight of service providers", so that last question is not a formality.
Can AI help prepare for client review meetings?
Yes, and preparation is one of the lower-risk places to start, because nothing reaches the client until you have read it. The useful part is less the portfolio (your planning software already shows that) than the relationship: what the client asked about since the last review, what you promised to look into, the life events they mentioned. An assistant can pull that together from your notes and the correspondence you choose to give it and hand you a one-page brief. Keep investment judgment with you; treat the brief as a memory aid, not a recommendation.
Do AI note takers work for advisor meetings?
They are the most developed category of advisor AI, and the vendors differ in ways that matter to compliance. Jump says "Recording is optional, not required" and offers transcript-only or summary-only modes; Zocks says it "Never records your client conversations"; Focal describes "a visible bot" in the meeting (each vendor's own site, read 2026-09-23). What none of those claims settles is your firm's policy on client consent, where the notes are stored, and whether they become part of the books and records. Those answers come from compliance, not the vendor.
What are the best AI tools for financial advisors?
There isn't one best, because the tools do different jobs, and this page does not rank them. Priced as each maker published it on 2026-10-12: among meeting assistants built for advisors, Jump's core plan, Meet, is $100 per advisor a month paid annually ($120 paid monthly), Zocks starts at $67 per user a month billed annually ($80 billed monthly), and Focal's Pro plan is $100 a month billed annually ($120 billed monthly); among general assistants, ChatGPT Plus is $20 a month billed monthly and Claude Pro is $20 a month, or $17 a month on the annual plan. Anthropic's Claude for Financial Advisors has no separate published price, and Anthropic recommends its Enterprise plan for registered investment advisers. Choose by the job (the meeting itself, drafting, or your own preparation between meetings), then ask compliance which tool, in which edition, you may use with client information.
Last updated 2026-10-12.
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