EY automates audit and tax processes to free 2 million hours annually
Ernst & Young (EY), a leading global professional services firm, sought to modernize traditional audit and tax operations that were intensive, manual, and time-consuming. By implementing Microsoft Azure AI, Azure Cognitive Services, and a suite of automation technologies, EY automated over 250 business processes globally. The AI solutions enabled auditors to concentrate more on advisory roles and deliver increased value to their clients. The partnership between EY and Microsoft was anchored in a commitment to ethics in AI, people empowerment, and delivering measurable value to clients. The transformation resulted in greater operational efficiency, improved service quality and accuracy, and allowed the firm to maintain a human-centered approach while increasing digital capabilities. This initiative not only created internal benefits, saving approximately 2 million human hours annually, but also positioned EY to deliver enhanced, AI-fueled offerings to their global clientele.
- Organization
- EY
- Industry
- Professional Services
- Location
- United States
- Published
- June 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- EY
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- partner.microsoft.com
The transformation resulted in greater operational efficiency, improved service quality and accuracy, and allowed the firm to maintain a human-centered approach while increasing digital capabilities
Primary read
Use case focus
Showing 3 of 3
- 1Intelligent Automation of Audit Processes
- 2Automated Tax Document Processing
- 3AI-Driven Advisory Enablement
- Automated over 250 business processes globally using Microsoft Azure AI and Cognitive Services.
- Deployed AI to streamline document review and routine workflow.
- Designed a multi-year roadmap for digital transformation through AI.
- Created an alliance with Microsoft to deliver ethical, people-centered AI solutions.
- Saved an estimated 2 million human hours annually.
- Enabled auditors to spend more time on client advisory and value-adding activities.
- Accelerated digital transformation initiatives at enterprise scale.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
- Cited source last checked Jun 1, 2026 — broken (1/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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