You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
EY | IBM

Discover how EY and IBM’s tax department streamline global data management and automate compliance with IBM watsonx.

Home

Case Studies

EY

Transforming tax compliance with AI

EY teams and IBM’s tax department collaborate on an AI-powered solution built with IBM watsonx and designed to help streamline global data management and automate tax compliance.

Download the client zero guidebook

From inaccessible data to efficient compliance

The tax organization at IBM comprises a high-performing team of tax professionals that supports operations in 170 countries globally. As a multinational corporation, IBM is responsible for complying with tax laws and regulations across various jurisdictions worldwide.

The tax department faced challenges in managing inaccessible and incomplete data, which led to many hands-on processes to manage compliance within tax laws and regulations. The manual process of aggregating and harmonizing large volumes of granular data from dozens of source systems was time-consuming and required substantial human effort and investment. This process amounted to massive workloads as IBM files thousands of tax returns every month, impacting the organization’s ability to allocate resources to more strategic workstreams. Kanthi Morrissey, Chief Tax Officer at IBM, explains: “The biggest roadblock is inaccessible and incomplete data.”

With a strong commitment to innovation, the company’s tax organization aspired to be client zero for IBM technologies—such as the
IBM watsonx®
portfolio of AI products—and operationalize AI throughout their global tax lifecycle.

3

use cases on track to save tens of thousands of hours annually

>95%

first-pass invoice validation accuracy

Automating tax compliance enables human resources to spend time on more strategic workstreams and tasks.

Julie Connors

Global Tax Transformation & Technology Leader

IBM

IBM’s tax department transforms global compliance with IBM watsonx.ai

The tax organization at IBM collaborated with EY to address the management of inaccessible and incomplete data globally. To overcome this challenge, IBM and EY chose to use the
IBM® watsonx.ai®
enterprise ready AI studio to create
EY.ai
for tax, built with
IBM watsonx®
.

The multimodel library, available to handle a wide array of invoices and volumes in each country, made watsonx.ai appealing for detect-and-correct methods, while
IBM watsonx.data®
, a hybrid open data lake, helped create a unified data layer from all varied sources. The implementation process involved a multifaceted relationship between IBM, IBM Ecosystem engineering and EY. Morrissey commented, “IBM and EY teams agreed to use the latest technology innovations to improve our business processes. Naturally it made sense for IBM to pilot watsonx®, given the open, enterprise-ready, fit-for-purpose language models we offer with trusted AI.”

The EY organization played a key role as thought partner and facilitator, from ideation and prioritization to solution development and delivery. The IBM Ecosystem engineering “Services Solutions Accelerator” team developed the minimum viable product (MVP) for detect-and-correct use cases. IBM’s tax department defined built-in data controls and reconciliation checkpoints for data flows from each source system, designed to enhance efficiency and deliver a higher-quality data consolidation process.

The collaboration between IBM’s tax department, ecosystem engineering and EY teams has been instrumental in shaping and deploying the solutions. IBM is already seeing improvements in efficiencies and time saved throughout the process. The primary benefits are the augmentation of human capabilities to do large-volume tasks, freeing up skilled employees to focus on more strategic planning to grow the organization.

It [IBM watsonx] enables human resources to spend time on more strategic initiatives.

Kanthi Morrissey

Vice President & Chief Tax Officer

IBM

IBM’s tax organization team innovates processes with AI-powered solutions

The tax organization at IBM has achieved a significant transformation in managing inaccessible and incomplete data, thanks to its use of watsonx. Through the implementation of AI-powered solutions—including an intelligent tax data lake, detect-and-correct methods applied to business documents and withholding tax determinations—IBM’s tax department is advancing toward a highly automated tax compliance process. This progress demonstrates that AI can be trained in foundational tax skills and is paving the way for an AI-powered organization prepared for the future of work driven by the AI revolution.

The transformation is helping free human resources to focus on more strategic workstreams. With three use cases already on track to save employees tens of thousands of hours annually from manual, data-intrinsic tasks, IBM is positioned to help achieve significant cost savings and drive revenue growth with EY’s help. By using watsonx.ai, IBM’s tax department has been able to validate unstructured invoice data with high accuracy, while the tax data lake solution has created a unified data layer from various sources across countries globally.

According to Morrissey, “This project is driving a great IBM ecosystem message by bringing the IBM and EY relationship to light and demonstrating how IBM’s generative AI is driving innovation that can be replicated across many business functions.” The success of the MVP has also led to a stronger collaboration between IBM and EY with plans to collaborate on marketing campaigns and joint assets.

As the advantages of this transformation become more evident to IBM, the company is well-positioned to benefit from new technologies and innovations in the tax space. With their commitment to using AI and automation for IBM to become the most productive company in the world, the tax organization team at IBM is leading the way in business transformation and innovation.

About IBM

IBM
is a multinational technology and consulting company headquartered in Armonk, New York, with operations in over 170 countries. Founded in 1911, IBM has a long history of innovation and a strong commitment to research and development, with a significant investment in AI, cloud computing and other emerging technologies. IBM’s tax department, led by Chief Tax Officer Kanthi Morrissey, comprises a high-performing team of tax professionals worldwide, responsible for managing the company’s global tax obligations and ensuring compliance with tax laws and regulations.

Solution components

IBM watsonx®

IBM® watsonx.ai®

IBM watsonx.data®

Unlock efficient tax compliance with AI

Discover how IBM’s AI-powered solutions can help streamline tax compliance and free up resources for more strategic initiatives.

Learn more about IBM watsonx

View more case studies

Legal

© Copyright IBM Corporation 2025.

IBM, the IBM logo, IBM watsonx, watsonx, watsonx.ai, and watsonx.data are trademarks or registered trademarks of IBM Corp., in the U.S. and/or other countries.

Examples presented are illustrative only. Actual results will vary based on client configurations and conditions and therefore generally expected results cannot be provided.

This article contains information in summary form and is therefore intended for general guidance only. It is not intended to be a substitute for detailed research or the exercise of professional judgment. Member firms of the global EY organization cannot accept responsibility for loss to any person relying on this article.
</reference>

<statements>
1. IBM reports numerous client case studies demonstrating watsonx‑driven transformation: NatWest’s AI‑powered mortgage support platform "Marge" using watsonx Assistant, Bouygues Telecom’s call‑center modernization handling over 800,000 calls per month with watsonx Assistant and reducing pre‑ and post‑call workloads by 30%, and Water Corporation’s SAP migration using watsonx Code Assistant and Red Hat Ansible Lightspeed to save roughly 1,500 hours annually and cut development costs by 30%. Additional cases include Artefact’s generative‑AI personas for a French bank, Nelen & Schuurmans’ gen‑AI assistant for water‑management software, Vodafone’s TOBi assistant enhanced with watsonx.ai, and EY’s AI‑driven tax compliance solution EY.aifor tax built on watsonx.ai and watsonx.data.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.