The modern RIA's guide to AI in wealth management

AI is good at reading, summarizing, drafting and finding. In an RIA, that covers six common tasks:

• Meeting notes. Record a client meeting, then produce a summary, action items and a draft CRM note.
• Client emails. Draft follow-ups and routine replies for an advisor to review and send.
• Document reading. Pull names, account numbers and balances from statements, transfer forms and tax documents, instead of retyping them.
• Meeting prep. Assemble holdings, recent activity, open tasks and notes into one brief before a review.
• Questions across the book. Answer plain-English questions such as "which clients have an RMD due and have not taken it?"
• Paperwork checks. Flag missing signatures or mismatched details before a form goes to the custodian.

Four things stay with people:

• Investment decisions. AI can surface data and draft analysis. The advisor decides.
• Advice and the relationship. Clients pay for judgment and trust, not for a summary.
• Compliance sign-off. A person reviews and approves client communications and exceptions, as before.
• Anything you cannot check. If a person cannot verify an AI output quickly, it should not reach a client.

The useful line is simple. AI prepares the work, and a person approves it.

Most AI tools sold to RIAs fall into five types:

General assistants (for example Microsoft Copilot, ChatGPT Enterprise)

What it doesDraft, summarize and search across email and documents

Where it stopsCannot see custodian accounts or your CRM unless connected

Advisor meeting notetakers

What it doesRecord meetings, write notes and push them to the CRM

Where it stopsKnow what was said, not what happened to the account afterwards

Document readers

What it doesExtract data from statements and forms

Where it stopsHand data to one system, then stop

AI features inside an existing tool

What it doesAdd AI to a CRM, planning or reporting product

Where it stopsSee only that product's data

AI-native platforms

What it doesRun AI across the client record and the workflows

Where it stopsNeed the firm's systems connected to deliver full value

Because AI can only work with the data it can see, and in most RIAs the client record is split across systems that do not talk to each other.

Take one example. A meeting notetaker records that a client wants to move $200,000 from a held-away 401(k). It writes a good note to the CRM. But it cannot see that the transfer paperwork was returned by the custodian last week for a missing signature, because that status sits in the custodian portal. The advisor finds out when the client calls to ask where the money is.

The notetaker did its job, but nothing connected the note to the paperwork or the custodian. Adding a second AI tool to watch the custodian portal does not fix that either. It adds another copy of the client data, another login and another vendor to review.

Each new point solution brings the same costs:

• Another copy of client data. One more place for records to disagree, and one more system to keep in sync.
• Another vendor review. Security, privacy and recordkeeping due diligence for every tool.
• Another login and another habit. Staff adoption drops with every extra screen.
• No shared context. Each tool's AI sees one slice of the client, so it cannot act across the workflow.

Fix the connection first, then add AI on top. When the CRM, custodians, portfolio data and documents feed one client record, one AI layer can read all of it and act on it.

It means every person and every AI tool in the firm works from the same client record. In practice:

• One client record. CRM data, custodian accounts, documents, service requests and activity in one place, kept in sync with the systems you keep.
• Workflows that span systems. Onboarding, account opening and money movement run as one case from intake to funded account, with status visible to advisors, operations and the client.
• AI with full context. The assistant that writes the follow-up email also knows the transfer status, the open tasks and the last conversation.
• A full audit trail. Every AI suggestion, edit and approval is logged against the client record.

A firm set up this way can add AI features without adding systems.

Settle these with your chief compliance officer before rollout:

• Records. Your recordkeeping obligations for client communications apply whether a person or an AI drafted the message. Know where AI drafts, edits and final versions are stored.
• Supervision. Decide who reviews AI-drafted client communications and how that review is logged.
• Client data. Confirm in writing whether each vendor uses your data to train its models, where data is stored, and how long it is kept.
• Security. Ask for SOC 2 Type II reports and penetration test summaries.
• Disclosures and policies. Update your written policies to cover approved AI tools and approved uses, and decide whether any client disclosure is needed.
• Accuracy. Require human review for anything that reaches a client or a custodian.

Start with one workflow, connect its data, pilot with one team and measure the result.

1 to 2

StepMap your systems and where client data lives

OutputA list of every system, what it holds and how it connects

3 to 4

StepPick one workflow, such as new account onboarding or meeting follow-up

OutputA baseline of hours spent and errors per month

5 to 8

StepConnect the data that workflow needs and set up AI on top

OutputA working workflow with human approval steps

9 to 12

StepPilot with one advisor team and measure

OutputHours saved, errors avoided, staff feedback, and a decision to expand or stop

Measure against the baseline from weeks 3 to 4. If the workflow does not save time or cut errors, stop and fix the data before you try again.

1. 1Which of our systems can your AI read, and which can it write back to?
2. 2Does it see our custodian data, or only data inside your product?
3. 3Do you train models on our client data?
4. 4Where is our data stored, and for how long?
5. 5Can you share your SOC 2 Type II report?
6. 6How are AI outputs, edits and approvals logged for our records?
7. 7How does a person review an AI output before it reaches a client?
8. 8What happens to our data if we leave?
9. 9Which of your customers look like us, and what did they measure?
10. 10Will this replace a tool we pay for today, or add one?

OneVest is an AI-native operating system for wealth firms. It connects your client data, custodians and workflows first, then runs AI across all of it.

• Core puts every client in one record and lets advisors and staff ask plain-English questions across the book.
• Operate runs onboarding, account opening and money movement as connected workflows, from intake to funded account.
• Engage gives clients a branded portal and app, with every message and document tied to the same record.
• Pulse is the activity feed on every client record. It logs who did what, including AI updates, so advisors and compliance can see the full history.
• Integrations connect the CRM, custodians and planning tools you keep, so AI reads from systems you already trust.

OneVest is SOC 2 Type II compliant. Visit the Trust Center.

See it with your own data in a 20-minute walkthrough, or read more on OneVest AI.