How RIAs can answer retirement readiness questions without rebuilding the financial plan. One client's $2.4 million portfolio revealed a surprising 23.5% modeled probability of success.
$2.4 Million Saved. Retirement Still Uncertain.
Sarah Mitchell is 61, has $2.4 million invested, and wants to retire at 63. She has spent decades preparing for this moment, but one question remains: “Can I actually afford to stop working?”
For an advisor, this question creates a familiar dilemma. Rebuilding an entire financial plan takes time, yet relying on an outdated retirement projection can create false confidence. The client needs an answer grounded in today's numbers, not last year's assumptions.
We asked DeepVest Chat to update Sarah's retirement readiness without starting over. The result challenged an assumption many clients make: having enough money to retire is not the same as having enough money to stay retired.
The Exact Prompt We Gave DeepVest
I am a Registered Investment Advisor preparing for a client meeting with fictional client Sarah Mitchell, age 61, who asks, “Can I retire at 63?” Her existing plan shows $2.4 million invested, $120,000 in annual retirement spending, $48,000 in Social Security starting at 67, and no pension; she worries about running out of money if the market crashes early in retirement.
Without rebuilding her financial plan from scratch, update her retirement readiness using inflation, taxes, healthcare costs, portfolio withdrawals, and sequence-of-returns risk; quantify her probability of success through age 95, annual income gaps, and the financial impact of retiring at 63 versus 65 under normal, optimistic, and adverse market scenarios.
Identify the three most important findings and highest-impact adjustments, showing their potential dollar impact, and give me a clear “Yes, No, or Not Yet” answer supported by numbers, followed by a compelling 90-second client conversation script. Clearly label assumptions, avoid specific investment recommendations, and limit your response to 500 words.
The Response DeepVest Produced
Schedule a demo with DeepVest to see how AgentLab can help advisors reassess retirement readiness using updated assumptions and quantified scenarios.
The $710,456 Problem Hiding in Plain Sight
The most revealing finding wasn’t Sarah's $2.4 million balance. It was the $710,456 in modeled withdrawals required before Social Security begins. Those early years create a dangerous combination of spending demands and exposure to market declines.
DeepVest also showed that working two additional years could increase her starting assets by $271,215 under the modeled assumptions. That’s meaningful progress, but not a complete solution. The findings are conditional on assumptions that still need verification, particularly healthcare costs, taxes, and future savings.
This is where retirement readiness analysis becomes more valuable than a simple yes-or-no calculation. It identifies which decisions deserve attention and how different choices could change the outcome.
The Advisor's Advantage Is Clarity, Not Certainty
A client who asks whether retirement is possible is also asking whether the future feels secure. An unsupported “yes” may feel reassuring today but create much greater anxiety later.
Using an AI investment platform for RIAs, advisors can examine retirement scenarios, quantify tradeoffs, and prepare clearer client conversations without manually rebuilding every calculation. DeepVest provides analysis and interpretation; the advisor challenges the assumptions and determines how those findings fit the client's circumstances.
For Sarah, “Not Yet” is not a closed door. It’s a starting point for a better plan. The value of the meeting is turning uncertainty into measurable choices while the client still has time to make them.
For RIAs: When a client asks, “Can I retire?”, which matters more in your first assessment: spending flexibility, sequence-of-returns risk, or retirement timing?
Schedule a demo with DeepVest to explore how AgentLab supports retirement readiness analysis and client meeting preparation.
For questions, contact: [email protected]