A client calls on Tuesday. She’s accepted a new job, the base is 15% higher, and there’s an equity package. She wants to know if she should adjust her super contributions and whether the equity changes her retirement timeline. You schedule a review for Friday.

Between now and Friday, someone on your team needs to pull her current plan, update the income assumptions, re-run the projections, check the tax implications, and prepare a brief that makes sense when you sit down with her. That’s three to four hours of work before the meeting even starts. Then you meet, take notes, and afterwards someone writes up a Record of Advice that documents the conversation and any recommendations. Add another two hours.

Six hours for one plan update. Multiply that across 80 or 100 active clients, each with two or three material life changes a year, and you’re looking at 1,000 to 1,800 hours annually. For a firm doing $3M in revenue, that’s $70K to $120K in paraplanner and adviser time that doesn’t show up on a billable line but has to be paid for.

Most advisory firms treat plan updates as a necessary cost of doing business. You can’t ignore a client’s job change or inheritance. But the work itself is repetitive. You’re pulling the same data sources, running the same calculations, and formatting the same documents. It’s exactly the kind of task an AI agent can take over, and when it does, those six hours drop to 30 minutes of adviser review time.

Why Plan Updates Consume So Much Time

Financial plans aren’t static. A plan you built six months ago assumes a certain income, a certain portfolio balance, and a certain set of goals. When any of those assumptions change, the plan needs to change with it. The problem is that updating a plan feels almost as time-consuming as building one from scratch.

Here’s what typically happens. A client emails or mentions in passing that something’s changed. Maybe it’s a new job, maybe they’ve received an inheritance, maybe the market’s moved and they’re nervous. Your team logs the change, schedules a review, and then someone sits down to update the plan.

They open the client file, pull the most recent portfolio statement, check the super balance, look at the tax return from last year, and start adjusting the assumptions in whatever planning software you use. They re-run the projections, check the cashflow model, and make sure the recommendations still make sense. Then they write up a summary, format it into a brief, and send it to the adviser.

The adviser reviews the brief, meets with the client, takes notes during the meeting, and afterwards hands those notes back to the paraplanner. The paraplanner writes a Record of Advice, runs it past the adviser for sign-off, and files it. The whole cycle takes four to six days and involves two or three people.

It’s not that anyone’s being inefficient. It’s that the process has a lot of steps, each one requires judgment, and none of it is automated. You can’t just press a button and get an updated plan. Someone has to do the work.

What an AI Agent Does Differently

An AI agent doesn’t replace the adviser’s judgment. It replaces the repetitive data-gathering and document-drafting that happens before and after the adviser makes a decision.

When a client’s circumstances change, the agent pulls the relevant data automatically. It connects to your portfolio system, your CRM, and your planning software. It knows which accounts belong to which client, it knows the current balances, and it knows the assumptions in the existing plan. It updates the income figure, re-runs the projections, and generates a one-page brief that shows the old assumptions, the new assumptions, and what’s changed.

The adviser reads the brief, meets with the client, and records the conversation. The agent listens to the meeting (or reads the transcript), extracts the key points, and drafts a Record of Advice that follows your firm’s compliance template. The adviser reviews it, makes any changes, and approves it. The whole process takes 30 to 45 minutes of adviser time instead of six hours of combined team time.

That’s the difference. The agent doesn’t make the advice decision, but it does all the work that surrounds the decision. It gathers the data, updates the model, drafts the documents, and keeps the file organized. The adviser focuses on the conversation and the recommendation.

The Meeting Prep Agent

The Meeting Prep Agent is the first piece. It runs before every client review and produces a brief that tells the adviser everything they need to know.

It starts by pulling the client’s current portfolio data. It checks the balances, the asset allocation, the performance since the last review, and any transactions that have happened. It compares the current position to the plan and flags anything that’s off track.

Then it looks at recent communications. If the client has emailed about a job change, the agent pulls that email and summarizes it. If there’s been a phone call, it pulls the notes. If the client filled out a form, it pulls the form data. Everything that’s relevant to the upcoming meeting gets compiled into one place.

Finally, it checks goal progress. If the client’s saving for retirement, the agent calculates whether they’re on track based on the current contribution rate and portfolio balance. If they’re saving for a house deposit, it checks the timeline. If they’re planning to retire in three years, it checks the projected income.

The output is a one-page brief. The adviser reads it in five minutes and walks into the meeting prepared. They don’t need to dig through the file or ask the paraplanner for a summary. The agent has already done that work.

We’ve built this as part of the AI audit for financial advisory firms. It’s not a generic tool. It’s trained on the specific data sources and workflows that advisory firms use, and it adapts to your firm’s process.

The Advice Document Agent

After the meeting, the Advice Document Agent takes over. It listens to the meeting recording (or reads the transcript if you prefer not to record) and extracts the key points. It identifies the client’s concerns, the adviser’s recommendations, and any decisions that were made.

Then it drafts a Record of Advice. It uses your firm’s compliance template, fills in the client details, summarizes the discussion, and documents the recommendations. It includes the reasoning, the risks, and the disclosures. It formats it according to your style guide and flags any sections that need the adviser’s attention.

The adviser reviews the draft, makes any changes, and approves it. The whole process takes 15 to 20 minutes instead of two hours. The paraplanner doesn’t need to listen to the recording, take notes, and write the document from scratch. The agent has already done the first draft.

This is the same agent that handles Statements of Advice for new clients. It’s not limited to plan updates. Any time you need a compliance document, the agent can draft it. You can read more about how this fits into the broader Omni Ops platform, which handles the operational workflows that advisory firms run every day.

The Client Onboarding Agent

Plan updates aren’t the only place where repetitive work piles up. New client onboarding is another. The Client Onboarding Agent runs a guided fact-find with new clients, collects the KYC documents, and prepares a clean onboarding pack for the adviser.

It sends the client a link to a conversational interface. The client answers questions about their income, their assets, their goals, and their risk tolerance. The agent asks follow-up questions, clarifies anything that’s unclear, and collects the necessary documents. It checks that everything’s complete before it hands the file to the adviser.

The adviser reviews the onboarding pack, schedules the first meeting, and starts building the plan. They don’t need to chase the client for missing documents or spend the first meeting gathering basic information. The agent has already done that work.

What This Looks Like in Practice

Let’s walk through a real example. A client emails on Monday. She’s received an inheritance of $400K and wants to know how it affects her retirement plan. She’s 52, currently contributing $25K a year to super, and planning to retire at 65.

The Meeting Prep Agent picks up the email, flags it as a material change, and schedules a review. It pulls her current plan, updates the asset assumptions to include the $400K, and re-runs the projections. It calculates three scenarios: leaving the inheritance in cash, investing it in a diversified portfolio, and using part of it to pay down the mortgage.

It generates a one-page brief that shows the impact of each scenario on her retirement income. The adviser reads the brief, reviews the assumptions, and meets with the client on Wednesday. During the meeting, they discuss the options, talk through the risks, and agree on a strategy.

The Advice Document Agent listens to the meeting, extracts the key points, and drafts a Record of Advice. It documents the inheritance, the scenarios discussed, the client’s decision, and the reasoning. The adviser reviews the draft on Thursday morning, makes a few edits, and approves it. The client receives the ROA on Thursday afternoon.

Total adviser time: 45 minutes. Total cycle time: three days. No paraplanner hours, no back-and-forth, no delays. The agent handled the data gathering, the scenario modeling, and the document drafting. The adviser handled the conversation and the recommendation.

The Dollar Reality

For a firm with five advisers, each managing 80 clients, plan updates consume 2,000 to 3,000 hours a year. At a blended rate of $80 per hour (adviser and paraplanner time), that’s $160K to $240K in internal cost.

An AI agent doesn’t eliminate all of that. The adviser still needs to review the brief, meet with the client, and approve the document. But it cuts the time per update from six hours to 45 minutes. That’s an 85% reduction. For a firm spending $200K a year on plan updates, that’s $170K in capacity freed up.

You can reinvest that capacity in more clients, deeper relationships, or new services. You can reduce the paraplanner headcount and run a leaner operation. Or you can keep the team the same size and handle twice as many clients without adding stress.

The math is straightforward. The question is whether your firm is ready to change the way it works. Most firms know the current process is inefficient. They just don’t know what the alternative looks like or how to get there.

What an Omni Audit Tells You

An Omni Audit is a 60-minute session where we map your current workflows, identify the highest-value automation opportunities, and show you what an agent would do in your firm. You walk away with three outputs: a process map, a prioritized list of use cases, and a build plan with timelines and costs.

We don’t send a deck. We don’t ask you to sit through a sales pitch. We look at your actual processes, your actual data sources, and your actual pain points. Then we show you what’s possible and what it would take to build it.

For financial advisory firms, the highest-value use cases are usually plan updates, compliance documentation, and client onboarding. Those are the areas where repetitive work consumes the most time and where an agent can make the biggest difference. But every firm is different, and the audit tailors the recommendations to your specific situation.

The practical next step is the free Working With Claude field guide. Thirty-two pages covering the ecosystem, Claude Code, and how to govern a rollout properly. Get your copy.

Why This Matters Now

The firms that move first on AI agents won’t just save time. They’ll change the client experience. When a client’s circumstances change, they’ll get an updated plan in three days instead of three weeks. When they ask a question, they’ll get a response the same day. When they start working with the firm, they’ll be onboarded in a week instead of two months.

That’s a competitive advantage. It’s not about technology for technology’s sake. It’s about delivering a better service at a lower cost. The firms that figure this out in 2026 will set the standard for the next five years.

The firms that wait will spend the next five years trying to catch up. They’ll keep running the same manual processes, hiring more paraplanners, and watching their margins shrink. They’ll lose clients to firms that move faster and deliver more.

You don’t need to rebuild your entire operation overnight. You start with one use case, prove it works, and expand from there. Plan updates are a good place to start because the work is repetitive, the volume is high, and the impact is measurable. You can see the time savings in the first month.

If you want to explore what this looks like for your firm, the next step is an audit. It’s 60 minutes, it’s specific to your business, and it gives you a clear picture of what’s possible. You can find more examples and case studies on the EDNA blog or dive into the technical details on our insights page.

The question isn’t whether AI agents will change financial advisory work. They already are. The question is whether your firm will lead the change or follow it.