AI-Driven Financial Planning is a Minefield
Advisory firms are pouring money into artificial intelligence. In 2025, just 14% of wealth management firms had an item in their tech budget for AI, according to a report from F2 Strategy. This year, that number has jumped to 67%. Firms that don’t adopt AI risk extinction.
But in their rush to adopt AI, these organizations must not rush off a cliff. Long-term success requires AI governance policies and guardrails; the most important factor is accurate input.
Without a complete and true data set that covers all a client’s key details—from adjusted gross income to W-2s and everything in between—even the most sophisticated AI will make mistakes. The phrase “garbage in, garbage out” dates back at least 60 years in computing. Today it’s more relevant than ever. Given AI’s scale and speed, it can provide incorrect “facts” and improper advice much more quickly than a human and distribute them across a much wider footprint.
Consumers of financial services seem anxious about this risk. Only 27% of them trust AI “some” or “a great deal” as a source of financial guidance, according to a recent Edward Jones-Gallup poll, while 73% trust it “not much” or “none at all.”
So how do we assuage their concerns and teach AI to work for us, not against us?
Trust Me, It’s All There
For as long as financial and tax advisors have been in business, their main source of client data has been clients themselves. This has always been problematic because humans make mistakes. Clients forget a document or misplace a form. But the dangers are greater than ever today because affluent clients’ financial lives are far more complex than they were a few years ago.
They can buy and sell crypto with a tap on a phone, generating capital gains and losses each time. Remote employees earn money across multiple jurisdictions. Clients can quickly generate thousands of dollars in income by selling luxury goods on resale sites.
Behaviors like these raise the odds that client-provided data will be incomplete, inaccurate or out of date. With AI scrutinizing junk data, it becomes impossible for AI-powered financial and tax-planning tools to return accurate figures, trends and recommendations. The problem worsens because AI has become better at packaging outputs to make them appear convincing.
It’s not always the client’s issue. A K-1 can appear or be amended months after they’ve filed their tax return. Unless an advisor specifically asks, this new information may never make it into AI and, ultimately, a financial plan.
Toward a Single Source of Truth
What needs to change is where the financial and tax data comes from. For most of this industry’s history, it’s been difficult to track down independent sources to cross-check a client’s self-reported picture against reality. That’s now changing as advisors gain access to verified financial data sourced from the U.S. Internal Revenue Service.
Today’s technology enables advisors to access a client’s complete income tax and wage records; all retirement account activity; income from employers, dividends, their business and rental properties. These systems can quickly surface every client account across custodians, employment history spanning years and even transaction-level detail like realized gains and losses. It’s the same underlying data the IRS uses to verify tax returns, not a client’s best recollection.
These solutions don’t replace human advisors. Even verifiable data from the IRS is a snapshot in time. Humans will need to double-check and update the numbers. But their manual workload decreases, giving them more time to do what they do best: engage with clients. These platforms can show a line-by-line comparison of what a client reported on their tax return versus what the IRS actually calculated, so the advisor can resolve discrepancies with the client before using AI to help develop a plan.
Technology isn’t a substitute for an experienced advisor’s judgment, but accurate data is the foundation on which those judgments are built. This approach to AI governance in financial planning benefits advisors and clients — and helps a firm’s legal team sleep better. A single source of truth for tax and financial data will mitigate regulatory, compliance and liability risk.
Final Thoughts
The AI genie is out of the bottle, and no one is forcing it back inside. Advisors who don’t embrace AI will likely wither away. But we too often forget the “A” in AI: artificial. AI can’t reason like a human. It evaluates vast amounts of data quickly, but if the data is wrong or missing, it tends to make assumptions or fill in the blanks to deliver a “right” answer.
Advisors can reduce their odds of garbage-in, garbage-out by crafting a data strategy built on accurate client information. As AI continues to proliferate across the industry, the firms that get this right will gain a real business advantage by providing advice clients can trust.
