Every retirement projection your firm builds starts the same way. An adviser opens a spreadsheet or fires up planning software, pulls the client’s portfolio data, checks their super balance, and starts modeling withdrawal scenarios. Then comes the tax calculation. Then Social Security timing. Then the what-if questions: What if they retire at 63 instead of 65? What if markets drop 20 percent in year two? What if one spouse dies early?

Each scenario takes time. A typical retirement income projection with three or four variations can consume two to four hours of adviser or paraplanner time. Multiply that across a book of 80 clients, each needing an annual review, and you’re looking at 160 to 320 hours a year just running projections. At a blended cost of $120 per hour for adviser and paraplanner time, that’s $19,200 to $38,400 in labor before you’ve written a single piece of advice.

Now add the prep work. Before the projection, someone has to gather the data: current balances, contribution rates, pension entitlements, tax file numbers, recent statements. After the projection, someone has to write it up, explain the assumptions, and document the advice in a Statement of Advice or Record of Advice. That documentation step alone can add another $3,000 to $8,000 per advice document when you factor in compliance review and paraplanner time.

Most firms treat this work as unavoidable overhead. It’s not. Automating retirement income projections doesn’t mean handing the client a chatbot. It means building an AI agent that pulls the data, runs the scenarios, applies your firm’s tax and withdrawal logic, and drafts the projection summary in the format your compliance team already uses. The adviser reviews, adjusts if needed, and presents. The manual grind disappears.

What manual retirement projections actually cost

Let’s break down the time and dollar reality. A single retirement income projection for a couple in their early 60s typically involves:

• Gathering current account balances, super statements, and pension estimates: 20 to 40 minutes.
• Building the base-case projection with current contribution rates and assumed retirement age: 30 to 60 minutes.
• Running alternative scenarios (early retirement, part-time work, different withdrawal rates): 60 to 90 minutes.
• Calculating tax on super withdrawals, account-based pensions, and any wage income: 30 to 45 minutes.
• Modeling Social Security (Age Pension) timing and means-test impacts: 20 to 40 minutes.
• Writing up the projection summary and assumptions for the client: 30 to 60 minutes.

Total time per projection: two to four hours. If your firm completes 100 retirement projections a year, that’s 200 to 400 hours. At $120 per hour blended cost, you’re spending $24,000 to $48,000 annually just on the projection work itself.

But that’s only the modeling. The advice documentation adds another layer. A typical SOA or ROA that includes a retirement projection requires:

• Drafting the strategy section and explaining the assumptions: 60 to 90 minutes.
• Compliance review and edits: 30 to 60 minutes.
• Formatting and final QA: 20 to 30 minutes.

Add another $3,000 to $8,000 per advice document when you account for paraplanner and compliance time. If half your advice documents include a retirement projection, that’s an additional $150,000 to $400,000 in labor cost across the year for a mid-sized firm.

The real kicker is the opportunity cost. Every hour an adviser spends tweaking a spreadsheet is an hour they’re not meeting with clients, not bringing in new business, not doing the high-value work that actually grows the firm. Advisers didn’t get into this business to run Monte Carlo simulations. They got in to help people retire with confidence.

How an AI agent automates the projection workflow

An AI agent built for retirement income projections doesn’t replace the adviser’s judgment. It replaces the repetitive data-pulling, scenario-running, and assumption-documenting that eats up hours every week. Here’s what the workflow looks like when you automate it.

The agent starts with data ingestion. It connects to your portfolio management system, super fund platforms, and any external accounts the client has linked. It pulls current balances, contribution history, and investment allocations. If the client has a pension entitlement or deferred super, the agent flags it and pulls the relevant details. No manual data entry. No copying and pasting from PDFs.

Next, the agent builds the base-case projection. It applies your firm’s standard assumptions: inflation rate, investment returns by asset class, contribution rates, and target retirement age. It calculates the projected super balance at retirement, models the transition to account-based pension, and estimates the annual income stream. All of this happens in seconds, not hours.

Then comes scenario modeling. The agent runs the variations you’ve told it to prioritize: early retirement at 63, part-time work until 67, a 20 percent market correction in year two, one spouse dying at 75. It recalculates the income stream for each scenario, flags any shortfalls, and notes where the client might need to adjust contributions or retirement timing. The agent doesn’t guess. It follows the logic you’ve built into it.

Tax assumptions are where most manual projections bog down. The agent handles this by applying the current tax rules for super withdrawals, account-based pensions, and any wage income. It models the tax-free and taxable components of the client’s super balance, calculates the tax on lump-sum withdrawals versus pension payments, and adjusts for the senior and pensioner tax offset. If the client has multiple super accounts, the agent consolidates them and recalculates the tax position. It does in minutes what takes a paraplanner an hour.

Social Security timing is another complexity the agent automates. It models Age Pension eligibility based on the client’s age, assets, and income. It calculates the means-test impact of different withdrawal strategies and flags the optimal timing for claiming the pension. If the client plans to draw down their super early, the agent shows how that affects their Age Pension entitlement later. The adviser gets a clear picture of the trade-offs without running multiple manual calculations.

Finally, the agent drafts the projection summary. It writes up the base case, explains the assumptions, and presents the alternative scenarios in plain language. It formats the output to match your firm’s SOA or ROA template, includes the required disclosures, and flags any areas where the adviser needs to add context or adjust the strategy. The adviser reviews, tweaks if needed, and presents to the client. The projection that used to take three hours now takes 20 minutes.

One adviser in our network describes the shift this way: “We used to spend half a day on a retirement projection. Now the agent does the heavy lifting overnight, and I spend 20 minutes reviewing it before the client meeting. That’s time I can spend talking to the client about their actual goals, not explaining spreadsheet assumptions.”

ROI breakdown: manual versus automated

Let’s compare the cost and time for a firm running 100 retirement projections a year.

Manual process:

• Data gathering and scenario modeling: 200 to 400 hours at $120/hour = $24,000 to $48,000.
• Advice documentation (50 SOAs with retirement projections): $150,000 to $400,000 in paraplanner and compliance time.
• Total annual cost: $174,000 to $448,000.

Automated process with an AI agent:

• Agent setup and training: one-time cost of $8,000 to $15,000 (includes workflow design, data integration, and compliance review).
• Ongoing agent operation: $2,000 to $4,000 per year (platform fees, maintenance, periodic retraining).
• Adviser review time (20 minutes per projection): 33 hours at $120/hour = $3,960.
• Advice documentation (agent drafts, adviser reviews): $30,000 to $80,000 (80 percent reduction in paraplanner time).
• Total first-year cost: $43,960 to $103,960.

Net savings in year one: $130,040 to $344,040. That’s a 75 to 80 percent reduction in labor cost, and it compounds every year after the setup is complete.

The time savings are just as dramatic. Advisers get back 167 to 367 hours a year. That’s four to nine weeks of full-time work they can redirect to client meetings, business development, or strategic planning. For a firm trying to grow without adding headcount, that’s the difference between staying flat and scaling.

What an Omni agent looks like for your firm

At Enterprise DNA, we build agents that fit into your existing workflow. We don’t rip out your planning software or force you onto a new platform. We build an agent that sits on top of what you already use and automates the repetitive steps.

For retirement income projections, that usually means an Advice Document Agent and a Meeting Prep Agent working together. The Meeting Prep Agent pulls the client’s current portfolio data, recent communications, and goal progress into a one-page brief before every review meeting. The adviser walks in knowing exactly where the client stands. The Advice Document Agent then takes the meeting transcript, the updated projection, and your firm’s compliance template and drafts the SOA or ROA. The adviser reviews, adjusts, and finalizes. The two-day turnaround becomes same-day.

We also build agents that handle the data-gathering step. A Client Onboarding Agent can run a guided fact-find with new clients, collect KYC documents, and prepare a clean onboarding pack for the adviser. That cuts the typical 30 to 60-day onboarding cycle in half and gets new clients into their first advice meeting faster.

The key is specificity. We don’t build generic assistants. We build agents that know your firm’s compliance requirements, your preferred withdrawal strategies, your tax assumptions, and your documentation style. The agent learns from your past projections and gets better over time. It doesn’t replace your judgment. It amplifies it.

If you want to see what this looks like for your firm, the next step is an Omni Audit. It’s a 60-minute working session where we map your current retirement projection workflow, identify the highest-cost steps, and design an agent that automates them. You walk away with three outputs: a process map showing where time leaks, a cost breakdown of manual versus automated work, and a draft agent spec you can hand to your ops team or use to brief a vendor. No deck, no sales pitch. Just a clear picture of what automation would save you.

Book a 60-min Omni Audit and we’ll build the analysis specific to your firm. You can also explore the AI audit for financial advisory firms to see the full scope of what we cover.

Where firms typically start

Most advisory firms don’t automate everything at once. They pick the highest-cost, highest-frequency task and build an agent for that first. For firms doing a lot of retirement planning, that’s usually the projection workflow. For firms with long compliance cycles, it’s the advice documentation. For firms struggling with onboarding, it’s the fact-find and KYC process.

The pattern we see is simple: automate one workflow, measure the time and cost savings, then expand. The first agent pays for itself in three to six months. The second agent takes half the time to build because the data integrations are already in place. By the end of year one, firms have typically automated three to five workflows and reclaimed 20 to 30 percent of their adviser and paraplanner time.

One common question is whether automation reduces the quality of advice. The answer is no, if you build the agent correctly. The agent doesn’t make strategic decisions. It doesn’t choose the withdrawal rate or recommend a retirement age. It runs the math, flags the trade-offs, and drafts the documentation. The adviser still reviews every projection, adjusts for the client’s specific situation, and presents the advice. The difference is that the adviser spends their time on judgment and client communication, not on spreadsheet mechanics.

Another question is compliance. How do you ensure the agent follows the rules? The answer is that the agent is trained on your firm’s compliance framework. It uses your SOA templates, your disclosure language, and your risk profiling logic. Every output is logged and auditable. The agent doesn’t introduce compliance risk. It reduces it by eliminating the manual errors that happen when paraplanners are rushing to meet a deadline.

What this means for your firm’s economics

Retirement income projections are a high-value service, but they’re also a high-cost one when done manually. Automating them doesn’t just save time. It changes the economics of your advice model.

First, you reduce your cost to serve. If you’re spending $3,000 to $8,000 in labor to produce a single retirement projection and SOA, automation cuts that to $600 to $1,600. That’s a $2,400 to $6,400 saving per client. Multiply that across 50 to 100 clients a year, and you’re looking at $120,000 to $640,000 in cost reduction.

Second, you increase capacity. Advisers who used to handle 60 to 80 clients a year can now handle 100 to 120 without adding paraplanner support. That’s 40 to 50 percent more revenue per adviser without increasing headcount. For a firm trying to scale, that’s the difference between hiring another adviser or growing with the team you have.

Third, you improve client experience. Faster turnaround on projections means clients get their advice sooner. Same-day SOAs instead of two-week waits. Real-time scenario modeling during the meeting instead of “let me run the numbers and get back to you.” Clients notice. Retention improves. Referrals increase.

The firms that automate early also gain a competitive edge. When every other firm in your market is still running manual projections and taking weeks to turn around advice, you’re delivering same-day service. That’s a positioning advantage you can’t buy with marketing spend.

If you’re ready to see what automation would save your firm, book my Omni Audit. We’ll map your current workflow, calculate the cost of manual work, and design an agent that fits your compliance and service model. You can also explore more about Omni for financial advisory firms and see how other firms are using AI to reclaim their time.

Retirement projections don’t have to be a time sink. Automate the mechanics, keep the judgment, and get back to the work that actually matters.