AI-powered anomaly detection: now available in ONESOURCE Determination
Highlights
- AI-powered anomaly detection helps tax teams spot unusual tax results before they spread across many transactions.
- The system compares current tax results to historical patterns and flags unexpected changes for review.
- Anomaly detection shifts the tax workflow from searching for problems to reviewing changes already flagged as unusual.
A tax rate changes when it should not. An exemption certificate fails to apply. A tax authority disappears from a transaction. Small problems like these may remain hidden until a reconciliation, audit, or customer inquiry brings them to light. By then, they may have affected many more transactions.
ONESOURCE Determination helps tax teams spot unusual tax results sooner. The system learns what is normal, then flags changes that deserve a closer look.
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What is AI-powered anomaly detection?
Why do indirect tax teams miss costly errors?
How can a small tax error become a compliance problem?
What types of indirect tax anomalies can AI detect?
How does anomaly detection change the tax workflow?
How do tax teams work before and after anomaly detection?
Why does anomaly detection matter for tax compliance?
Ready to strengthen your indirect tax monitoring process?
What is AI-powered anomaly detection?
AI-powered anomaly detection identifies tax results that differ from a company’s established transaction patterns.
The system compares current tax-calculation results with past results from similar transactions. When it finds an unexpected change, it flags the transaction for review.
An anomaly is not always an error. It is a signal that something has changed. A tax professional must still review the transaction and decide whether the change is expected or requires action.
Why do indirect tax teams miss costly errors?
Many companies find tax issues through monthly reports, ERP reconciliations, audits, or customer inquiries. These controls matter, but they often take place after transactions have been processed.
The challenge grows with transaction volume. A tax team may need to examine thousands of records to find the few that require attention. That takes time and can allow an issue to spread before anyone notices it.
Anomaly detection narrows the search. Instead of reviewing every transaction in the same way, tax teams can focus on results that differ from past patterns and may need investigation. Many organizations are addressing this challenge as part of a broader tax automation strategy.
How can a small tax error become a compliance problem?
Most tax errors start small.
An exemption certificate fails to apply. Tax rises from $2 to $20. No one notices. The transaction is processed. Then the next one. And the next. By the time the issue is found, the impact may reach far beyond a single invoice.
The longer an issue goes undetected, the harder it may be to measure its full effect and find its cause. More transactions may require review, correction, or further investigation.
What types of indirect tax anomalies can AI detect?
AI-powered anomaly detection can flag several types of changes in tax-calculation results, including:
- Unexpected changes in tax rates or fees
- Missing or different exemption certificates
- New or missing tax authorities
- Unexpected results tied to product or commodity codes
- Changes linked to transaction type or company role
- Differences based on origin, destination, or jurisdiction
The system looks for changes that occur even though the main attributes of a transaction remain the same. It then brings those changes to the reviewer’s attention.
How does anomaly detection change the tax workflow?
Anomaly detection helps tax teams move from searching for problems to reviewing changes already identified as unusual.
When the system flags an anomaly, the reviewer can examine the affected transaction, compare current and historical results, and decide whether the change is valid. The reviewer may then mark the change as expected or investigate it further.
The review still belongs to the tax professional. The system helps identify where that review may be needed.
The starting question changes from:
“What went wrong?”
to:
“What changed?”
How do tax teams work before and after anomaly detection?
Without anomaly detection, a tax professional may discover an inconsistency during a scheduled reconciliation. The team must then locate affected invoices, compare tax results, test possible causes, and determine how far the issue extends.
With anomaly detection, the system can surface an unexpected result sooner. The reviewer sees the affected transaction, examines the details, and decides what to do next.
The technology gives tax professionals a clearer and more focused starting point.
Why does anomaly detection matter for tax compliance?
Anomaly detection helps tax teams focus on the transactions that deserve attention. The capability highlights results that may require investigation and helps reviewers focus on the transactions that warrant a closer look.
Reviewers can examine differences between expected and calculated tax, review affected invoices, and determine whether further investigation is needed. By helping teams identify unusual tax results earlier, anomaly detection supports a more proactive approach to monitoring indirect tax activity.
Ready to strengthen your indirect tax monitoring process?
Learn how ONESOURCE Determination with AI-powered anomaly detection helps tax teams spot unexpected changes before they become larger compliance issues.
Book a 30-minute consultation to review your current tax monitoring approach and discuss opportunities to strengthen visibility into indirect tax risk.
