EY and IBM GenAI platform automates invoice validation, boosting accuracy and freeing tax teams for strategic work.
Tax compliance has long been a pain point for logistics firms buried under complex invoices and shifting regulations. One global leader faced this exact issue, with skilled tax professionals spending weeks reconciling vendor invoices instead of focusing on strategic priorities. Manual reviews created compliance risks, delays, and missed insights.
To overcome this, the company partnered with EY and IBM to deploy GenAI EY.ai for tax, powered by IBM watsonx. The GenAI system integrates with existing purchase-to-pay workflows, extracting and validating data from PDFs, images, and EDI feeds. Large language models classify and map invoice data to master records, while only true exceptions are routed for human review. This automation raised first-pass accuracy rates to 95%.
The benefit was immediate: tens of thousands of invoices were validated without manual bottlenecks, shrinking month-end close delays. Tax rules were standardized across regions, while professionals redirected their efforts toward planning, audits, and high-value advisory. Unlike legacy OCR tools, the GenAI system learns continuously, reducing errors and adapting to regulatory shifts without requiring system overhauls.
Encouraged by results, the company is expanding adoption with contract review agents to intercept tax risks earlier. By enriching tax data lakes and automating compliance at scale, EY.ai for tax offers not just efficiency but resilience. It proves GenAI can modernize tax workflows while coexisting with legacy systems, enabling enterprises to gain accuracy, speed, and strategic capacity without “rip and replace” disruptions.
