EY integrates enterprise-scale agentic AI into audit platform using Microsoft Foundry, Fabric, and Azure
EY has globally rolled out enterprise-scale agentic AI integrated within its EY Canvas assurance platform, which handles 1.4 trillion lines of journal entry data annually and supports 130,000 audit professionals across 160,000 engagements. The multi-agent AI solution is built on Microsoft technologies including Microsoft Foundry, Microsoft Fabric, and Azure, automating all audit phases to reduce administrative burdens, improve risk assessments, and enhance audit quality. The AI deployment retains human judgment central to processes with alignment to responsible AI principles such as accountability, security, transparency, and sustainability. EY has invested billions in technology and training globally to upskill professionals in AI capabilities. Expected full support for end-to-end audit activities by 2028, showcasing a broad enterprise-scale transformation in audit workflows.
- Organization
- EY
- Industry
- Professional Services
- Location
- Canada
- Published
- April 2026
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- EY
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Consulting.ca
EY has globally rolled out enterprise-scale agentic AI integrated within its EY Canvas assurance platform, which handles 1
Primary read
Use case focus
Showing 3 of 3
- 1Audit Automation
- 2Risk Assessment
- 3AI Governance
- Audit process complexity with vast volumes of journal entry data impacted efficiency and risk assessment quality.
- High administrative burden on audit professionals detracted from audit effectiveness and innovation.
- Demand for improved audit quality and maintaining trust with capital markets in AI era.
- Integrated a multi-agent AI framework on Microsoft Foundry, Microsoft Fabric, and Azure within EY Canvas platform.
- Deployed agentic AI across all audit phases to automate workflows while keeping human insight intact.
- Implemented responsible AI practices focusing on accountability, security, transparency, and sustainability.
- Invested in global training programs to enhance audit professionals' AI skills and adoption.
- Significantly reduced administrative burdens in audit workflows.
- Improved risk assessment accuracy and speed during audits.
- Enhanced audit quality and trust in financial assurance.
- Enabled a scalable, enterprise-wide AI integration impacting 130,000 audit professionals and large volumes of data annually.
- Positioned EY as a leader in AI-driven audit transformation with a responsible approach to AI governance.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Technical implementation details available
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