Every October, the same fire drill starts. Someone runs a birthday report, exports it to Excel, flags the 73-year-olds, then manually calculates or requests RMD figures from the custodian. By the time you’ve scheduled review meetings, it’s mid-November and clients are anxious about year-end deadlines.

If you run a financial advisory firm with 200 to 800 clients, you’re looking at 15 to 40 clients hitting RMD age each year. Each one needs a calculation, a proactive conversation about withholding and Roth conversions, and a meeting before December. When that process is manual, it eats a week of paraplanner time and pushes client reviews into the last two weeks of the year when everyone’s calendar is a mess.

I’ve spent the last two years building AI agents for advisory firms. The RMD alert workflow is one of the highest-value automations we deploy because it’s predictable, high-stakes, and repeats every single year. You can build an agent that monitors client birthdays, pulls account balances, calculates the distribution, and schedules the review meeting without a single spreadsheet.

This guide walks through what that agent looks like, how it fits into your existing tech stack, and why the 60-minute Omni Audit is the fastest way to see it running in your firm.

The manual RMD workflow costs more than you think

Most firms handle RMD planning the same way. Around September or October, someone on the ops team runs a client age report from the CRM. They export it, filter for clients turning 73, and cross-reference account types to see who actually has traditional IRAs or 401(k)s.

Then the real work starts. For each client, you need the December 31 balance from the prior year. If your custodian doesn’t auto-calculate, you’re pulling statements or calling the service desk. You apply the IRS life expectancy table, calculate the minimum, and email the adviser with a list of names and amounts.

The adviser reviews the list, decides who needs a proactive call versus a note in the next scheduled review, and asks the admin team to send meeting invites. By the time all that’s done, it’s mid-November. Clients who want to take monthly distributions or do a Roth conversion before year-end are now in a rush.

We see firms spend 12 to 20 hours on this process each fall. If your paraplanner bills internally at $80 an hour, that’s $1,600 worth of time. If an adviser spends another six hours reviewing the list and prepping for the calls, add another $900 at a $150 internal rate. And that’s just the labor. The real cost is the clients who don’t get the proactive conversation because you ran out of time.

RMD penalties are 25 percent of the shortfall. If a client misses their distribution, the IRS sends a letter and your firm spends the next three months fixing it. The reputational hit is worse than the penalty.

What an RMD calculation agent actually does

An AI agent for RMD alerts is a piece of software that runs on a schedule, reads your CRM and custodian data, performs the calculation, and triggers the next step in your workflow. It doesn’t replace the adviser conversation. It makes sure that conversation happens on time with the right numbers in front of you.

Here’s the end-to-end flow we build for advisory firms using Omni Ops.

Step one: Monitor client birthdays. The agent queries your CRM every week starting in August. It looks for clients who will turn 73 before December 31 of the current year. It filters for accounts tagged as traditional IRA, SEP IRA, or inherited IRA. Roth IRAs and Roth 401(k)s are excluded because they don’t have RMDs during the owner’s lifetime.

Step two: Pull prior-year account balances. For each flagged client, the agent connects to your custodian via API or reads the most recent statement PDF if no API exists. It retrieves the December 31 balance from the prior year. If the balance isn’t available yet (because it’s still August), the agent uses the most recent quarter-end balance and flags it as preliminary.

Step three: Calculate the RMD. The agent applies the IRS Uniform Lifetime Table. For a 73-year-old, the distribution period is 26.5 years. If the prior-year balance was $500,000, the RMD is $18,868. The agent stores that figure and attaches it to the client record.

Step four: Trigger the adviser review. The agent creates a task in your CRM or project management tool. It includes the client name, the calculated RMD, the account balance, and a link to the client’s last review note. It also checks the calendar and suggests three meeting slots in October or early November based on the adviser’s availability.

Step five: Send the client notification. Once the adviser approves the task, the agent sends a templated email to the client. The email explains that they’re approaching RMD age, includes the estimated distribution amount, and offers three meeting times to discuss withholding options and Roth conversion opportunities. The client clicks a link and books directly into the adviser’s calendar.

The entire process runs without a spreadsheet. The adviser sees a clean task list in the CRM, reviews it in 20 minutes, and approves the outreach. Meetings are booked by mid-October, and you’ve got six weeks to handle Roth conversions, withholding elections, and QCD planning.

If you want to see how this agent integrates with your specific CRM and custodian setup, book a 60-min Omni Audit and we’ll map it live.

Why RMD alerts are a better use case than meeting prep

A lot of advisory firms start their AI journey with meeting prep. They want an agent that pulls portfolio performance, recent emails, and goal progress into a one-page brief before every client review. That’s a valuable agent, and we build it all the time. But RMD alerts are a better first project for three reasons.

First, the input data is clean. Birthdates and account balances don’t change. The IRS table is published and static. There’s no ambiguity about what the agent needs to calculate. Meeting prep, by contrast, requires the agent to interpret unstructured notes, emails, and sometimes handwritten goals. It’s a harder problem.

Second, the output is binary. Either the client needs an RMD conversation or they don’t. Either the calculation is correct or it isn’t. Meeting prep outputs are subjective. One adviser wants three bullet points, another wants a full page. RMD alerts have a clear success metric.

Third, the business impact is immediate. Missing an RMD costs the client 25 percent of the shortfall and puts your firm in a defensive posture with the IRS. Getting ahead of RMDs in October instead of December creates space for tax planning conversations that generate additional revenue. Meeting prep saves time, but RMD alerts save money and create revenue opportunities.

We typically deploy an RMD agent in four weeks. Two weeks for discovery and data mapping, one week to build and test the agent, one week to run it in parallel with your manual process and confirm the calculations match. After that, it runs every year without touching it.

The compliance and documentation layer

One question we hear often is whether an AI agent can document the RMD conversation for compliance purposes. The short answer is yes, but it requires a second agent.

The RMD calculation agent handles the math and the meeting trigger. Once the meeting happens, you need a separate agent to capture the adviser’s recommendation and generate the file note. That’s where the Advice Document Agent comes in.

Here’s how it works. The adviser conducts the RMD review meeting, either in person or over Zoom. If it’s a Zoom call, the meeting is recorded and transcribed using Omni Voice. If it’s in person, the adviser dictates a two-minute summary into their phone after the meeting.

The Advice Document Agent reads the transcript or dictation, extracts the key facts (RMD amount, withholding election, Roth conversion decision, QCD intent), and drafts a file note in your compliance template. It includes the client’s stated goals, the adviser’s recommendation, and the agreed action steps. The adviser reviews the draft, makes any edits, and saves it to the client file.

The entire documentation process takes three minutes instead of 20. Over the course of 30 RMD meetings, that’s nine hours of adviser time saved. At a $150 internal rate, that’s $1,350 in capacity returned to the business.

If your compliance framework requires a formal Record of Advice for RMD recommendations, the same agent can generate that document. It pulls the client’s risk profile, account balances, and stated objectives from the CRM, inserts the RMD calculation and recommendation, and outputs a draft ROA. Your paraplanner reviews it, makes any necessary adjustments, and sends it to the client.

We see ROA cycle times drop from five days to one day when the Advice Document Agent handles the first draft. That faster turnaround improves client experience and reduces the risk of clients taking distributions before they’ve received your formal advice.

For more on how compliance documentation agents fit into the broader advisory workflow, check out the AI audit for financial advisory firms.

What the Omni Audit shows you

The Omni Audit is a 60-minute working session where we map your RMD workflow, identify the data sources, and show you what the agent will look like in your environment. It’s not a sales deck. It’s a technical scoping call that produces three outputs.

Output one: A process map. We diagram your current RMD workflow from the birthday report through to the client meeting. We identify every manual step, every handoff, and every place where data gets copied from one system to another. Most firms discover they have six to eight manual steps they didn’t realize were there.

Output two: A data inventory. We list every system the agent needs to connect to (CRM, custodian, calendar, email) and confirm whether APIs exist or whether we need to use document parsing. We also flag any data quality issues, like clients with missing birthdates or accounts with incorrect tax treatment tags.

Output three: A build estimate. We give you a fixed-price quote to build the RMD agent, including discovery, development, testing, and the first year of monitoring. Most RMD agents cost between $8,000 and $15,000 depending on how many custodians you use and whether you want the Advice Document Agent included.

The audit itself is free if you’re running an advisory firm doing at least $1 million in revenue. We do it because it’s the fastest way to show you what’s possible and whether Omni is the right fit for your firm.

After the audit, you decide whether to move forward. No pressure, no follow-up calls. If you want to build the agent, we start discovery the following week. If you don’t, you walk away with a process map and a data inventory you can use with any other vendor.

To schedule your audit, book my Omni Audit here.

The broader case for ops automation in advisory firms

RMD alerts are one workflow. The bigger opportunity is applying the same agent architecture to every repeating ops task in your firm.

Client onboarding is the most common second project. The Client Onboarding Agent runs a guided fact-find with new clients, collects KYC documents, and prepares a clean onboarding pack for the adviser. It cuts onboarding time from 45 days to 12 days and eliminates the back-and-forth emails asking clients to resend forms.

Meeting prep is the third most common. The Meeting Prep Agent pulls portfolio data, recent communications, and goal progress into a one-page brief the adviser reads before every client meeting. It saves five to ten hours per adviser per week and ensures no client walks into a review without the adviser knowing exactly where they stand.

Compliance documentation is the fourth. The Advice Document Agent we discussed earlier can also draft SOAs, file notes, and annual review letters. It reduces paraplanner workload by 40 percent and shortens advice cycle times from three weeks to one week.

Each of these agents is independent, but they share the same underlying platform. Once you’ve built one agent, the next one is faster and cheaper because the data connections and compliance guardrails are already in place.

We call this the ops automation stack. It’s not a single piece of software. It’s a collection of agents that handle the repeating, high-volume tasks that don’t require adviser judgment. The adviser’s time gets reallocated to client conversations, business development, and strategic planning. The firm’s capacity increases without hiring.

For a broader view of how these agents work together, explore Omni Ops or read through our advisory insights.

What happens after you deploy the RMD agent

The first year, the agent runs in parallel with your manual process. You do the birthday report and the calculations the way you always have, and the agent does the same work in the background. You compare the outputs and confirm they match.

By year two, you turn off the manual process. The agent becomes the system of record for RMD alerts. Your ops team stops running the birthday report. The paraplanner stops calculating distributions. The adviser just reviews the task list the agent generates and approves the outreach.

By year three, the agent has processed 60 to 120 clients and you’ve built enough trust to expand it. You add inherited IRA RMDs, which have different life expectancy tables. You add QCD tracking for clients who want to direct their RMD to charity. You add Roth conversion modeling so the agent can suggest whether a client should convert part of their IRA before taking the RMD.

Each expansion takes two to four weeks and costs $3,000 to $6,000. The ROI compounds because you’re adding features to an agent that’s already running, not building a new system from scratch.

The long-term vision is a firm where every repeating ops task is handled by an agent. The adviser’s calendar is full of client meetings, not admin work. The paraplanner focuses on complex advice scenarios, not template documents. The ops team manages the agents, not the spreadsheets.

That vision is realistic for any advisory firm doing $2 million or more in revenue. The technology exists, the integrations are stable, and the cost is lower than hiring another paraplanner.

The dollar reality of RMD automation

Let’s put some numbers on this. If your firm has 400 clients and 20 of them hit RMD age this year, you’re spending 15 hours of paraplanner time and six hours of adviser time managing the process manually. At $80 and $150 per hour respectively, that’s $2,100 in labor cost.

If the agent costs $12,000 to build and runs for five years, your annual cost is $2,400 (assuming no maintenance beyond the first year). You’re break-even in year one and saving $2,100 every year after that.

But the real savings aren’t in the labor. They’re in the client conversations that happen in October instead of December. When you get ahead of RMDs, you create space for Roth conversion planning, QCD strategy, and withholding optimization. Each of those conversations is a revenue opportunity.

If five of those 20 clients decide to do a Roth conversion based on your proactive outreach, and the average conversion generates $2,000 in planning fees, that’s $10,000 in additional revenue. The agent paid for itself five times over in the first year.

The firms that win with AI aren’t the ones that save the most time. They’re the ones that redeploy that time into revenue-generating activities. RMD automation gives you six weeks of breathing room in Q4. What you do with that time determines whether the agent is a cost center or a profit driver.

Next steps

If you’re reading this in August or September, you’ve got time to deploy an RMD agent before this year’s deadline. If it’s later than that, you’re scoping for next year. Either way, the first step is the same.

Book a 60-minute Omni Audit and we’ll map your current RMD workflow, identify the data sources, and show you what the agent will look like in your firm. You’ll walk away with a process map, a data inventory, and a fixed-price quote to build it.

No deck, no sales pitch. Just a working session with someone who’s built this agent a dozen times and knows where the edge cases are.

See Omni for financial advisory firms or go directly to the calendar and book your session now.