AI Financial Planning Software

Most advisor planning platforms have three layers. AI changes each one differently. The first layer is data ingestion. Established platforms such as eMoney Advisor (owned by Fidelity), MoneyGuide (Envestnet) and RightCapital have long pulled account data through aggregation feeds. The newer AI work handles the messy part: PDFs of statements, pension estimates, insurance illustrations and tax returns that never arrive as clean data. Document AI combines optical character recognition with models that understand page layout, so it can find a cost basis figure or a required minimum distribution amount and map it to the right field. Holistiplan became known for doing this with tax returns. The second layer is the planning engine. Cash-flow projections and Monte Carlo simulation are not new AI. Monte Carlo is a statistical method that is decades old. The engine runs hundreds or thousands of simulated market paths and reports the share of trials in which the client's money lasts. This "probability of success" is often misread as a forecast. It is a summary of assumptions: small changes to expected returns, inflation or volatility can move it a lot. The third layer is communication. Large language models now draft plan summaries, meeting notes and follow-up emails. This is where time savings are largest and where errors cause the most harm, because a fluent paragraph can state a wrong number with confidence. One common misconception is that these tools make planning decisions. They speed up gathering and explaining information. Choosing assumptions and judging whether a recommendation suits the client is still the advisor's job. Regulators treat what the software produces, once it is sent, as the firm's own communication.