Tax & AccountingJuly 06, 2026

How to identify tax risks before sign-off

By: Wolters Kluwer Tax and Accounting

Key Takeaways

  • AI can identify high-risk items and areas requiring additional scrutiny before filing.
  • Traceable citations help reviewers understand and validate flagged issues.
  • Risk-focused reviews allow professionals to spend more time on judgment and decision-making.

Final review carries a different kind of pressure than preparation. By the time a return reaches sign-off, the expectation is no longer just completeness. A reviewer or signing partner needs to assess whether the return contains positions, patterns, or inconsistencies that could create unnecessary risk. That review often extends beyond obvious errors. Compensation levels, unusual deductions, interest expense, and other high-attention items may all require a second look before the return is finalized.

A manual review can certainly catch those issues, but the process takes time and depends heavily on experience. During compressed deadlines, even experienced reviewers may spend too much time locating potential concerns and too little time evaluating their significance.

Reviewing the return through a risk lens

CCH® AnswerConnect Document Analysis allows a reviewer to upload a return and ask for an evaluation based on the kinds of issues that would matter to a signing partner. The system analyzes the return, identifies major risk areas, and explains why each issue deserves attention. Citations point directly to the relevant sections of the return, so the reviewer can confirm where the concern originates.

The reviewer does not need to search through the entire return to find areas that may deserve scrutiny. Instead, the review begins with a more focused starting point. The reviewer begins with a prioritized set of risks and can move directly into judgment, follow-up, and correction.

Focusing attention on what could create problems

Not every return presents the same level or type of exposure. Some returns contain routine issues that are easy to address. Others include items that are more likely to draw attention during examination or create downstream complications for the client.

With CCH Expert AI, reviewers can identify those higher-risk areas more easily because the system surfaces the items that are most likely to require review before filing. For example, the system can highlight signing risks, explain the reasoning behind them, and identify several items that should be corrected before the return is signed. The review can also point to specific categories, such as officer compensation and interest expense, where additional attention may be warranted.

A reviewer can then concentrate effort where professional judgment matters most, rather than spreading time evenly across every section of the return.

Turning risk review into a more structured process

Risk-based review often lives in the head of the reviewer. Experienced professionals know what tends to stand out, but the process can be difficult to standardize across teams. A less experienced reviewer may know that something deserves attention without having a clear way to document or communicate the issue.

AI-powered document analysis helps make that process more explicit. The system can generate a “must-fix before e-file” punch list that captures the items most likely to create problems if left unresolved. That list gives the reviewer a concrete way to organize feedback, whether the next step is correcting the return, sending comments back to the preparer, or documenting issues in the file.

A structured output improves consistency. Different reviewers may still apply different judgment, but the workflow begins from a clearer and more repeatable starting point.

Making review findings easier to trace and explain

A strong review process depends not only on identifying issues, but also on understanding where those issues come from. When a reviewer selects a citation, the system opens the part of the return that supports the flagged issue. That direct traceability makes it easier to validate the concern, determine whether a correction is needed, and explain the issue to others.  

Traceability matters more than speed. Traceability also supports defensibility. A reviewer can see the basis for each flagged item rather than treat the output as a black box. That transparency helps the reviewer use the analysis more confidently and communicate the reasoning behind any requested changes.

See it in action: Review documents for red flags

See how an uploaded return can be evaluated for signing risks, linked back to the relevant sections of the return, and converted into a focused list of issues to resolve before filing.

explore the series
AI-powered document analysis in action
From K-1 analysis to partner review, Document Analysis helps firms move from information to action faster. Read the companion article to see five ways firms are applying AI across the tax workflow today.

Supporting the next step after review

Review rarely ends with the identification of a problem. Once the items that need attention are highlighted, the same process can support the follow-up. The system can help draft an internal note to the preparer, create a memo for the file, or generate a client-facing message if an explanation is needed. Each of those outputs reduces the amount of time spent translating review findings into a usable next step.

Giving reviewers a stronger starting point

Partner-level review will always require experience. No system replaces the need to evaluate context, weigh risk, and decide how to proceed.

But, instead of beginning with a blank slate and a long return, reviewers can begin with a focused set of potential concerns, a clear explanation of why those concerns matter, and direct access to the underlying source within the return. Time is directed toward interpretation and decision-making rather than searching and sorting.

Strengthening sign-off without extending the review cycle

Sign-off is one of the last opportunities to catch an issue before it becomes a filing problem, a client problem, or a notice later on. A stronger risk review process improves that final checkpoint. High-attention items become easier to identify, document, and resolve. The review cycle becomes more focused without becoming superficial, and the reviewer gains a clearer basis for deciding what needs further attention before filing.  

For firms looking to improve review quality while managing time pressure, that kind of support can make partner-level scrutiny more scalable across the workflow.

Wolters Kluwer Tax and Accounting

Wolters Kluwer Tax and Accounting is a leading provider of software solutions and expertise that helps tax, accounting and audit professionals research and navigate complex regulations, comply with legislation, manage their businesses and advise clients with speed and accuracy.

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