A client calls on Tuesday afternoon. They’re considering a strategy change: maybe moving super into pension phase, or switching their investment mix, or restructuring their insurance. They want to see the numbers side by side before the Friday meeting.

You know the drill. Pull the current plan. Model the alternative. Build a comparison table. Write the narrative. Format it so it doesn’t look like a spreadsheet vomit. Check the compliance language. By Thursday night you’ve burned five hours, and you still need to prep for three other meetings that week.

This is the hidden cost of plan comparison work. It’s not a line item on your P&L, but it shows up everywhere: in your evenings, in the bottleneck at your paraplanner’s desk, in the client who goes quiet because the turnaround took two weeks.

Most advisory firms I talk to estimate they produce 8 to 15 scenario comparisons per adviser per month. At three to six hours each, that’s 24 to 90 hours of work that clients expect as table stakes but rarely pay for directly. If you’re running a $3M practice with three advisers, you’re looking at 70 to 270 hours a month just on this one task. That’s $70K to $200K a year in opportunity cost, depending on how you value your team’s time.

The question isn’t whether this work matters. It does. The question is whether a human needs to do it, or whether an AI agent can handle the mechanics while your advisers focus on the conversation.

What Plan Comparison Work Actually Involves

Let’s break down what happens when a client asks for a scenario comparison.

First, you gather the current state. Portfolio balances, contribution rates, insurance cover, pension settings, tax position, Centrelink status if relevant. Half of this lives in your planning software, half in emails and meeting notes. You’re stitching it together from three places.

Then you model the alternative. Change the variables. Run the projections. Make sure the assumptions are consistent with the baseline. This part is technical but not creative. It’s data entry and software operation.

Next comes the comparison itself. You need a format that shows both scenarios clearly, highlights the differences that matter, and doesn’t bury the client in jargon. Most advisers end up building a Word doc or a slide deck with tables, a few charts, and a plain-English summary of what changes and why it might make sense.

Finally, you review it for accuracy and compliance. Does the language match your AFSL’s approved terms? Are the projections reasonable? Is the risk disclosure appropriate for the strategy?

None of this is intellectually hard. It’s just time-consuming and repetitive. And because every client’s situation is slightly different, you can’t template your way out of it completely.

The firms that handle this well have a paraplanner who does nothing but churn out these reports. The firms that don’t have someone in the engine room end up with advisers doing it themselves at 9pm, or clients waiting three weeks for an answer.

The Bottleneck Is Mechanical, Not Strategic

Here’s what I see when I walk through this process with advisory firms during the AI audit for financial advisory firms: the strategic thinking takes 20 minutes. The mechanical execution takes four hours.

The adviser knows what the client is trying to solve. They know which levers to pull. The insight happens in the first conversation. Everything after that is formatting, data wrangling, and compliance box-ticking.

This is the pattern AI agents are built for. Not the judgment call about whether the strategy makes sense, but the assembly of the report once you’ve made that call.

An agent can pull the current plan data from your CRM and planning software. It can run the alternative scenario using the parameters you specify. It can generate the comparison table, write the summary narrative, and apply your firm’s compliance language. It can produce a draft report in six minutes that would take a human four hours.

You still review it. You still own the advice. But the mechanical work is off your plate.

What an Advice Document Agent Does for Comparison Reports

Let me show you what this looks like in practice with the Advice Document Agent we build inside Omni ops.

A client emails asking about moving $400K from accumulation to pension phase. You decide the strategy is worth modeling. Instead of opening Excel and your planning software, you open a chat interface and type: “Model current vs pension phase for John Smith, $400K transfer, compare tax and Centrelink impact over 10 years.”

The agent pulls John’s current portfolio data, runs both scenarios through the projection engine, and generates a draft comparison report. The report includes a summary table, a year-by-year breakdown, and a narrative section explaining the tax savings, the Centrelink implications, and the net benefit in today’s dollars.

You review the draft. The numbers are right. The narrative is clear. You tweak one sentence about the Centrelink asset test because you want to emphasize the timing risk. You approve it. The agent formats the final PDF with your firm’s branding and saves it to John’s client file.

Total time: 12 minutes. Four of those were you reading and tweaking.

The agent didn’t make the strategic call. You did. But it handled everything downstream of that call, and it did it faster and more consistently than any human on your team.

This isn’t theoretical. One advisory firm in our network describes cutting their comparison report turnaround from five days to same-day. Another firm reassigned their paraplanner from report production to client-facing advice support, which let them take on 15 more clients without hiring.

The ROI is straightforward. If your team produces 120 comparison reports a year, and each one takes four hours, that’s 480 hours. At a blended cost of $150 per hour (adviser or paraplanner time), you’re spending $72K annually. An agent doing the same work costs a fraction of that, and it doesn’t take evenings or weekends off.

The Workflow End to End

Here’s what the full workflow looks like when an agent handles plan comparison reports.

Step one: the client asks the question. This happens in a meeting, over email, or during a review. You capture the request in your CRM or directly in the agent interface. “Client wants to compare current super strategy vs starting a pension.”

Step two: the agent gathers the data. It pulls the client’s current plan from your planning software, their portfolio balances from the platform, their tax and Centrelink info from your CRM. If something’s missing, it flags it and asks you to confirm.

Step three: you specify the scenario. You tell the agent what to model. Transfer amount, timing, any assumption changes. This takes two minutes. You’re giving instructions the same way you’d brief a paraplanner.

Step four: the agent runs the projections. It models both scenarios, calculates the differences, and structures the comparison. This happens in the background while you move on to something else.

Step five: the agent drafts the report. It writes the summary, builds the tables, applies your compliance template, and formats the document. The draft lands in your review queue.

Step six: you review and approve. You read the report, check the numbers, tweak the language if needed. If it’s good, you approve it. If it needs changes, you tell the agent what to adjust and it regenerates the draft.

Step seven: the report goes to the client. The agent saves the final version to the client file, logs it in your CRM, and optionally emails it to the client with a cover note you approve.

The whole process takes 15 to 20 minutes of your time, most of it in steps three and six. The agent handles the other four hours.

This is what we mean when we talk about AI doing the work, not just assisting with it. The agent isn’t a glorified template tool. It’s executing the task end to end, and you’re reviewing the output the same way you’d review a paraplanner’s work.

What This Unlocks for Your Practice

The immediate benefit is time. You get back 300 to 400 hours a year per adviser. That’s six to eight hours a week you can redirect to client conversations, business development, or strategic planning.

But the second-order effects matter more.

Faster turnaround changes the client experience. When someone asks for a scenario comparison on Tuesday and you deliver it Wednesday morning, they feel heard. They move forward. The advice process doesn’t stall while they wait for the analysis.

Consistency improves compliance. Every report follows the same structure, uses the same approved language, and includes the same disclosures. You’re not relying on a paraplanner remembering to include the risk warning or an adviser copying the right paragraph from last month’s report.

Capacity increases without headcount. Most advisory firms hit a ceiling around 120 to 150 clients per adviser because the back-office work compounds. When an agent handles the repetitive documentation, that ceiling lifts. We see firms comfortably managing 180 to 200 clients per adviser without the team burning out.

And you can say yes to more requests. Right now, when a client asks for a complex comparison, you’re doing the mental math: is this worth the time? Will it lead to a decision? With an agent, the cost of saying yes drops to near zero. You model more scenarios, you explore more strategies, and clients get better advice because you’re not rationing your analysis capacity.

The Meeting Prep and Compliance Stack

Plan comparison reports don’t exist in isolation. They’re part of a broader advice workflow that includes meeting prep, file notes, SOAs, and ROAs.

The same agent architecture that handles comparison reports can handle the rest of this stack. The Meeting Prep Agent pulls together everything you need before a client review: recent portfolio performance, outstanding actions, goal progress, any emails or calls since the last meeting. It produces a one-page brief you read in three minutes instead of spending 30 minutes hunting through files.

After the meeting, the Advice Document Agent drafts the file note from the meeting transcript. It writes the ROA if there’s a strategy change. It updates the client record in your CRM. The compliance documentation that used to take two days now takes 20 minutes of review time.

This is the full picture of what Omni for financial advisory firms delivers. Not one agent doing one task, but a connected system that handles the entire advice production workflow. Comparison reports are one piece. Meeting prep, file notes, SOAs, and client onboarding are the others.

When you stack these together, the time savings compound. An adviser who spends 10 hours a week on documentation and admin drops to two hours. A paraplanner who produces three SOAs a week produces eight. The practice doesn’t just get faster, it gets more leveraged.

What an Omni Audit Shows You

If you’re reading this and thinking “I need to see what this looks like in my practice,” that’s what the Omni Audit is for.

It’s a 60-minute working session where we map your current advice workflow, identify where the time is going, and show you what an agent doing that work would look like. We focus on three outputs: a time map of your advice production process, a draft agent spec for the highest-value use case (often comparison reports or SOA drafting), and a 90-day implementation plan.

We don’t bring a deck. We don’t pitch a generic solution. We look at your practice, your tools, your compliance requirements, and we show you exactly what would change if an agent handled the mechanical work.

Most firms walk out of the audit with a clear picture of where 200 to 400 hours a year are going, and a specific plan to get that time back. Some decide to move forward with a build. Some decide to wait. Either way, you know what’s possible and what it would take.

Book a 60-min Omni Audit and we’ll map it out.

The ROI Math

Let’s make this concrete with numbers.

Assume your practice produces 150 plan comparison reports a year across your adviser team. Each report takes four hours of combined adviser and paraplanner time. That’s 600 hours annually.

At a blended cost of $150 per hour (conservative for most advisory firms), you’re spending $90K a year on this one task. That’s salary cost, not opportunity cost. If you factor in what your advisers could be doing with that time instead, the real number is higher.

An Advice Document Agent handling the same workload costs a fraction of that. Let’s say $15K a year in platform fees and API costs (actual cost varies by firm size and usage, but this is the range we see). You still spend 150 hours reviewing and approving the reports, so call that $22K of adviser time. Total cost: $37K.

The delta is $53K a year. That’s the hard-dollar ROI on this one use case, before you account for faster turnaround, better compliance, or the ability to take on more clients.

Now layer in the other agents. Meeting prep saves another 200 hours a year. SOA drafting saves 300. Client onboarding saves 150. You’re looking at $120K to $180K in combined savings, and that’s the conservative case.

This isn’t about replacing people. It’s about redirecting their time to work that clients value and pay for. Your advisers spend more time in client meetings and less time in Word. Your paraplanners focus on complex advice scenarios instead of formatting documents. The practice grows without adding headcount.

What Happens Next

If you’re running an advisory firm and this resonates, the next step is simple. Book my Omni Audit and we’ll spend an hour mapping your advice workflow. You’ll walk out with a time map, a draft agent spec, and a clear picture of what changes if you automate the mechanical work.

We’ve done this with practices from $1M to $25M in revenue. The pattern is the same: advisers spend 40 to 60 percent of their time on tasks an agent can handle, and they don’t realize it until someone shows them the breakdown.

Plan comparison reports are a high-value starting point because the ROI is immediate and the workflow is well-defined. But the real opportunity is broader. It’s taking everything downstream of the strategic advice call and letting an agent handle it.

That’s what Omni does. If you want to see it in your practice, let’s talk.