TaxStatus rolls out rules-based tool to flag advice gaps

TaxStatus rolls out rules-based tool to flag advice gaps
The fintech platform is touting a new AI-free Planning Observations feature, which draws on IRS tax records to uncover opportunities for advisors.
JUN 30, 2026

TaxStatus, the fintech platform that provides IRS-sourced financial data for advisors and accountants, has introduced a tool designed to surface client planning opportunities directly from tax records without using artificial intelligence.

The feature, called Planning Observations, scans a household's tax filings and flags items that may warrant a conversation between an advisor and a client.

It draws on source documents including Forms 1099, W-2, 1065, 1120, 5498 and K-1, and checks them against more than 175 distinct planning observations spanning six advisory disciplines: financial planning, investment management, tax planning, estate planning, insurance, and banking and lending.

The tool is also built to detect close to 50 multi-year life events, such as a job change, business sale, home purchase, retirement or inheritance, that often trigger new planning needs.

The capability feeds into a redesigned Financial Baseline report, a client-facing document that compiles a household's overall financial picture and highlights the areas the company says merit follow-up.

Planning Observations and the updated Financial Baseline report are now available to existing TaxStatus users.

A different approach to automation

Crucially, Planning Observations does not use generative or predictive artificial intelligence. The company describes the logic behind it as deterministic and rules-based, built from tax and financial-planning expertise and tested against the firm's database of real tax records.

"We're not replacing the advisor's judgment – we're handing them an efficient analysis so they can spend their time advising clients instead of hunting through data," said Kevin Knull, the company's chief executive, who holds the CFP designation. He added that for a firm managing hundreds of client relationships, the tool could translate into thousands of hours returned to advisors, along with steadier, more consistent advice delivery.

Knull also pointed to what he sees as the source of the company's edge: domain expertise paired with a large volume of verified tax data. "That combination is what lets us deliver precision without guesswork – and without AI," he said.

Part of a broader data push

Planning Observations arrives against the backdrop of TaxStatus expanding its footprint elsewhere through partnerships that do lean on artificial intelligence. The company has struck an alliance with Advice.ai that pairs its IRS-verified data feeds with an AI engine built around a library of planning strategies, including SEP IRA contributions, 1031 exchanges and grantor retained annuity trusts – an arrangement the companies frame as a way to widen the menu of strategies an advisor might otherwise overlook.

Earlier in February, the firm built out its recent data syncing partnership with Jump, an AI-driven advisor platform, piping IRS-verified information directly into pre-meeting client briefs to cut down on manual prep work. At the time, Jump CEO Parker Ence said bringing TaxStatus data into the platform “represents a huge opportunity for financial advisors [by unlocking] the power of data in service of better client experience and advisor outcomes.”

A contrarian no-AI stance

TaxStatus' AI-free pitch comes as much of the rest of the advisor-technology market is moving in the opposite direction. Earlier this month, Salesforce unveiled Agentic Advisor, a suite of six AI-powered capabilities built into its Agentforce for Financial Services platform, arriving as AI-powered startups threaten to disrupt the role CRM systems have traditionally played in advisor-client relationships.

Separately, YCharts launched Y, an AI assistant designed to help advisors navigate research, portfolio analysis, proposal creation, reporting and client communications from a single conversational interface, following a multi-month development and beta-testing period.

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