Financial Plan Drafting and Scenario Analysis with AI

A financial plan is part math, part narrative, part conversation. Your planning software handles the math. AI can do a lot for the narrative and the conversation — drafting the plan write-up, framing scenarios in plain language, and helping you and the client think through trade-offs. What it must never do is the math itself, or the recommendation. This lesson draws those lines clearly.

What You'll Learn

• Where AI fits in the planning process — and where your software and judgment must stay
• Drafting the plan narrative and the cover letter from your analysis
• Translating scenarios and Monte Carlo output into language clients understand
• Using AI as a thinking partner for trade-offs without letting it decide

The Division of Labor

Be precise about this, because it's where advisors get into trouble:

• Your planning software (eMoney, MoneyGuidePro, RightCapital, etc.) does the projections, the Monte Carlo simulations, the tax calculations, the withdrawal sequencing. These are deterministic, auditable calculations. Do not ask an LLM to "run a retirement projection" or "calculate how long this portfolio lasts" — it will produce a plausible-looking number that is not reliable.
• You make the recommendations and the judgment calls — what to recommend, what's suitable, what trade-offs to put in front of the client.
• AI helps with everything language-shaped around those: explaining what the numbers mean, drafting the plan document, framing the choices, anticipating questions, summarizing the client's situation.

Hold that line and AI is enormously useful. Cross it and you've outsourced your fiduciary work to a text predictor.

Drafting the Plan Narrative

You've built the plan in your software. Now you need a readable document: an executive summary, sections explaining each area (retirement readiness, cash flow, insurance, estate, tax), and recommendations. Feed the AI your analysis (anonymized, your firm's tool) and your conclusions.

You are helping a financial planner write the narrative for a client's financial plan. Here is the situation and the analysis (anonymized): [paste — e.g., couple, 55 and 53, want to retire at 62, current savings rate, the software shows a high probability of success if they maintain savings and the planned retirement age, modest gap in life insurance, no updated estate documents in 10 years]. Here are my recommendations: [list them]. Write the plan narrative: a one-paragraph executive summary, then short sections for Retirement Readiness, Cash Flow & Savings, Risk Management (insurance), Estate Planning, and Tax Considerations. For each, briefly state where they stand and what we recommend and why. Plain language, encouraging but honest tone, no guarantees, no specific return predictions. Leave clearly marked placeholders for any figures so I fill those in from the software.

Then a cover letter:

Draft a warm, one-page cover letter to accompany the plan. Thank them, summarize the headline message ("you're on track if you stay the course on savings and target age; here are a few things to tighten up"), highlight the two or three most important action items, and invite them to a meeting to walk through it. No jargon.

You've turned a pile of outputs into a client-ready document — then you check every number against the software and have it reviewed per firm process.

Making Scenarios Make Sense

Clients don't intuitively grasp "82% probability of success" or a fan chart of outcomes. AI is excellent at translating.

A client's plan shows roughly an 82% probability of success at their desired retirement age and spending level, rising to about 92% if they either work two more years or trim planned spending by about 10%. Explain what "probability of success" means here in plain English (it's based on many simulated market paths, not a guarantee), what 82% vs. 92% really implies, and frame the two levers — more time or less spending — neutrally so they can decide. About 250 words, calm and non-alarming, no jargon. Don't tell them which to choose.

Same for specific what-ifs:

• "Explain, in plain language, how retiring at 60 instead of 63 changes this client's picture — directionally, without me giving you new numbers to compute."
• "Draft a short explanation of sequence-of-returns risk tailored to a client about to retire, and how a cash bucket addresses it."
• "Summarize the trade-offs of taking Social Security at 62 vs. 67 vs. 70 in client-friendly terms, with the key considerations but no recommendation."

The AI frames; the numbers come from your software; the recommendation comes from you.

AI as a Thinking Partner

Before you finalize a plan, AI can stress-test your reasoning the way a good colleague would:

Here's my draft recommendation for a client (anonymized): [paste]. Acting as an experienced peer reviewing this, what are the strongest objections, blind spots, or risks? What scenarios haven't I considered? What questions should I ask the client before finalizing? Be direct and specific. Don't worry about being agreeable.

This often surfaces something worth a second look — a concentration you'd glossed over, a liquidity need around a kid's college, an assumption about one spouse's longevity. You then go verify and decide. The AI didn't make the call; it made you think harder before you did.

The Lines You Don't Cross

• No binding math from the AI. Projections, Monte Carlo, tax numbers, withdrawal math — planning software and real calculators only.
• No recommendation from the AI. It can lay out options; you choose, based on suitability and the client's situation.
• No unhedged forward statements. "We expect" with reasons, never "this will."
• No skipping review. A financial plan is a deliverable that needs your sign-off and your firm's process. AI got you a fast draft; it didn't approve anything.
• No client data in unapproved tools. As always.

Key Takeaways

• Keep a hard line: planning software does the projections and Monte Carlo math, you make the recommendations and judgment calls, and AI handles the language around them — never the math, never the recommendation.
• Use AI to draft the plan narrative and cover letter from your analysis and conclusions, with placeholders for figures you fill in from the software.
• AI is excellent at translating "probability of success," fan charts, and what-if scenarios into plain language — framing the levers neutrally without choosing for the client.
• Let AI stress-test your draft reasoning like a skeptical peer, then verify and decide yourself; always run the plan through firm review and keep client data in approved tools only.