IBM and EY Launch AI-Powered Tax Compliance Solutions

May 2, 2025
IBM and EY have introduced AI-driven tax compliance solutions using IBM watsonx, aimed at automating and streamlining global tax processes.

IBM and EY have announced the launch of AI-powered global tax compliance solutions, leveraging IBM's watsonx technology. In a press release, the companies detailed how the new solutions, branded as EY.ai for tax, aim to automate tax compliance and streamline data management across various enterprise resource planning systems.

The solutions utilize open-source AI models, including IBM Granite, to address challenges such as limited resources, talent shortages, and complex regulations. The three initial offerings include the Intelligent Tax Data Lake, which consolidates transaction data for tax filings; Detect and Correct with Business Documents, which extracts and corrects data from unstructured invoices; and Withholding Tax Determinations, which automates the process of determining correct withholding tax rates.

These solutions are already in use by IBM's tax department, reportedly saving tens of thousands of hours annually by automating previously manual processes. The collaboration between IBM and EY aims to transform tax compliance from an administrative function to a value-creating one, while ensuring data security and trust.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Legal AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Legal AI Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.