EY
Discover 22 AI Use Cases & Implementations from EY
Hyperscaler mix
See whether EY's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How EY builds AI
Build / Buy / Compose across this company's documented cases
15 of 22 cases classified (68%) · Compare all use-case types
Reported outcomes
7 cases report measurable results
+30%
Automation & deflection
median · 3 metrics
+44%
Cost savings
median · 3 metrics
−72.5%
Time & speed
median · 2 metrics
Medians of results published in EY cases, normalized for comparability. See all benchmarks →
Evidence persistence
12 of 12 judgeable cases are still publicly referenced · 12 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What EY uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 12/22
- Tech names
- 48
Capability mix
All Use Cases (22)
EY Global Finance: AI-driven agents in Copilot Studio with Power Platform for SAP-powered journal posting and payment clearing
EY Global Finance modernized labor-intensive finance workflows across journal posting, payment clearing, and account reconciliation.The implementation used Microsoft Power Platform, Dataverse, AI Builder, and Copilot Studio to integrate directly with EY's SAP ERP environment and automate semi-manual processes across regions.
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.
EY Enterprise-Scale Agentic AI Audit with Microsoft Foundry, Fabric, and Azure
EY embedding a multi-agent AI framework into its EY Canvas audit platform to transform the audit experience.The system integrates Microsoft Azure, Microsoft Foundry, and Microsoft Fabric to provide scalable and secure AI orchestration.Intelligent AI agents streamline workflows, enhance audit quality, increase efficiency, and support auditors worldwide across 150 countries.The deployment leverages Microsoft cloud AI and multi-agent orchestration for continuous audit innovation and operational excellence.
EY rolls out agentic AI in assurance on Azure (EY Canvas)
EY launched enterprise-scale agentic AI in assurance, embedding a multi-agent framework into EY Canvas, its global assurance technology platform.The platform is integrated with Microsoft Azure, Microsoft Foundry, and Microsoft Fabric and supports audit workflows across EY’s global assurance network, which processes more than 1.4 trillion lines of journal entry data per year.
EY Enterprise-Scale Agentic AI for Audit with Microsoft Foundry, Fabric, and Azure
EY developed a multi-agent AI framework embedded in their EY Canvas audit platform using Microsoft Azure, Microsoft Foundry, and Microsoft Fabric.The AI system processes 1.4 trillion journal entry lines annually to enhance audit orchestration, dynamic risk management, and quality control across EY's global network with 130,000 auditors in 150+ countries.EY rolled out global auditor upskilling programs for effective AI adoption and expects full AI coverage of audit activities worldwide by 2028, improving audit quality, reducing administrative load, and maintaining human judgment.
EY.ai Agentic for Sales Platform Powered by Snowflake and Canva
EY, in collaboration with Snowflake and Canva, launched the EY.ai Agentic for Sales platform to address fragmented enterprise AI tools in sales workflows.The platform integrates Snowflake's AI Data Cloud with Canva's AI-powered creative automation to orchestrate AI agents across the entire sales lifecycle.Features include coordinated sales operations, personalized outreach, pricing support, contract automation, and post-sale analytics within a unified AI-driven environment.The solution unifies data intelligence, creative automation, and transformation frameworks to streamline sales processes and enable AI orchestration beyond standalone tools.Initial deployment will be internal at EY starting March 2026 with planned client expansion in North America.
EY Unlocks Next-Generation AI for Finance with Microsoft Azure and Generative AI
EY (Ernst & Young), a global professional services firm, developed EY.ai EYQ, an enterprise-grade generative AI ecosystem powered by Microsoft Azure and Azure OpenAI Service.The platform provides secure, private conversational agents tailored to internal domains like HR and client engagement, which enhance productivity and streamline workflows.It features multi-agent orchestration, prompt management for continual improvement, and shared workspaces to foster collaboration.EY has achieved widespread adoption within the firm (81% adoption), processing over 116 million prompts and significantly improving operational efficiency and organizational AI maturity.
MicrosoftEY accelerates drug discovery and development in pharma
EY guides pharmaceutical companies through adopting generative AI (GenAI) to accelerate and automate early-stage drug discovery processes.GenAI enables significant breakthroughs in molecule creation, compound screening, and toxicity prediction, previously requiring extensive time and costs.EY collaborates with life sciences industry leaders, providing strategy and change management for successful GenAI implementation.The solution leverages deep learning algorithms for virtual screening, target identification, and optimal resource allocation.Predictions point toward cost savings from 44% to 67% and time reductions up to 50% for critical research phases, as GenAI adoption accelerates.The methodology streamlines clinical trial design and data analysis, improves regulatory submission, and automates documentation and compliance.EY works with both large and small biopharma companies to extend the benefits industry-wide, including for organizations lacking in-house AI capabilities.The approach helps CDMOs and CROs differentiate using advanced AI for outsourced drug research steps.Results reported by EY clients and survey respondents describe speed-to-market and cost reduction as primary impacts.The article describes a transformation in research and development operating models for faster patient benefit and broader treatment diversity.
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 implem...
MicrosoftEY empowers global learners with green skills education initiative
EY and Microsoft partnered to launch the Green Skills Passport, a free online course aimed at developing skills for employment in the green economy. The program targets learners aged 16 and above, focusing on sustainability, entrepreneurship, and STEM upskilling.The initiative leverages the Microsoft Community Training platform to provide accessible, AI-driven educational opportunities globally.Pilot projects have already rolled out in the United States, India, and Bangladesh, positively impacting underserved communities and youth job seekers.The International Labor Organization forecasts the creation of 24 million green jobs by 2030, positioning this program as timely and impactful.EY Ripples’ goal to impact 1 billion lives by 2030 aligns with this training initiative, supporting global social equity, workforce readiness, and sustainable development.The course offers a detailed learning path with EY-curated content, all delivered virtually to accommodate different learning needs.Microsoft and EY’s partnership continues to expand for social impact, supporting broader STEM and sustainability education worldwide.
MicrosoftEY streamlines regulatory compliance for legal teams with GenAI automation
EY Denmark (now referenced in the taxonomy as 'EY') partnered with Microsoft to automate and enhance regulatory compliance workflow for legal departments using GenAI and Microsoft frameworks.A six-step regulatory change workflow was automated, from initial assessment to delivering implementation guidance and stakeholder notifications.Key GenAI skills deployed included advanced document understanding and summarization, template-driven automated document generation, embedded prompting for user guidance, and robust version tracking.GenAI solutions enabled clear, accessible regulatory guidance documents and efficient identification of products affected by new regulations.Document and notification templates included smart suggestions and tips to improve compliance process efficiency and accuracy.The automation reduces manual tasks, minimizes errors, and accelerates compliance with rapidly evolving regulations for legal teams.Version management ensures documentation stays up-to-date and traceable across evolving governance requirements.The solution improves response times to new regulatory demands, supporting legal departments in risk mitigation and governance.
Microsoft
EY elevates responsible AI adoption and governance for education sector
This podcast episode features a discussion between leaders from EY and Microsoft on responsible AI and generative AI, examining both the opportunities and risks of these technologies within education and beyond. The conversation details the importance of ethical frameworks, regulatory alignment, and the evolving field of AI governance. Key challenges addressed include the need to balance AI's vast transformative potential with concerns about misinformation, ethical use, and organizational readiness. Microsoft outlines its three-pillared approach to responsible AI, highlighting transparency, security, and inclusiveness. EY emphasizes its role in bridging the gap between regulators, enterprises, and citizens, particularly through educational initiatives. Specific real-world examples, such as how large organizations are piloting AI to summarize customer feedback and automate processes, provide practical insights. The dialogue underscores the necessity of human oversight, the development of risk frameworks, close attention to nascent regulations like the EU AI Act, and ongoing executive education. Both firms point to the current market phase as experimental, with rapid innovation fueling the need for robust governance and organizational agility. They agree on the importance of democratizing AI access, operationalizing ethical standards, and fostering public-private partnerships for societal good.Responsible AI remains both a challenge and an opportunity for organizations navigating technological change. The podcast closes with practical recommendations for future-proofing AI strategies, stressing early adoption of robust governance, continuous learning, and sector-specific adaptation of generative AI.
EY boosts European Manufacturing AI Adoption Insights
This use case explores the findings of an EY and Microsoft survey conducted among 86 manufacturing companies across Europe, providing a comprehensive overview of AI adoption levels, key challenges, and technology enablers.The survey found that while 81% of the companies considered AI increasingly important for their business, only 10% have a detailed AI implementation plan.Manufacturers using Microsoft AI, Azure AI, Azure Digital Twins, and chatbots are leveraging these technologies for predictive maintenance, supply chain resilience, field operations, and improving customer and employee engagement.The report details typical stumbling blocks, such as poor data quality, lack of governance, and cultural resistance, which impede AI scaling.Best-practice organizations are characterized by engaged executive leadership, a holistic approach to data and solution architecture, and continuous upskilling of the workforce.The use case highlights the importance of cross-functional collaboration, robust data governance, and engaging partners to unlock the transformative value of AI in manufacturing.Success stories revolve around tangible impacts: cost reductions, better decision-making, streamlined operations, and improved product quality.
Microsoft
EY transforms global tax compliance with large-scale AI agents
EY has launched the EY.ai Agentic Platform, integrating over 150 AI agents into its global tax and risk consulting workflows. Built in partnership with NVIDIA and leveraging Micros...
EY transforms global productivity and client delivery with enterprise AI ecosystem
EY, a global leader in professional services, embarked on a comprehensive AI transformation, investing $1.4 billion and leveraging a close partnership with Microsoft. The initiative was designed to modernize internal operations, enhance productivity, and deliver greater value to clients worldwide. Central to the effort was the creation of the EY.ai ecosystem and the launch of EYQ, an advanced generative AI platform hosted on Microsoft Azure and powered by Azure OpenAI Service (GPT-4). Microsoft 365 Copilot and Dynamics 365 with Copilot for Sales were deployed internally to streamline processes, upgrade CRM systems, and improve teamwork. The program promoted responsible and governed AI adoption, including mandatory staff training and adherence to Responsible AI principles. EY's platform boasts more than 167,000 monthly users globally, enabling efficiencies in areas such as report generation, HR queries, content creation, and multilingual collaboration. Results include high rates of employee AI engagement, marked increases in AI literacy, and a cultural shift towards collaborative, trustworthy automation.
EY Automates Global Payment Processing for Faster and More Accurate Transactions
Ernst & Young (EY)’s Global Finance team implemented an intelligent automation solution, ‘PowerMatch’, to improve efficiency in matching and clearing 1.5 million customer payments received annually from over 200,000 clients. Leveraging Microsoft Power Platform components such as Power Automate, AI Builder, and Dataverse, PowerMatch deeply integrates with SAP, drastically reducing manual processing. The solution features advanced data extraction, rule-based auto-matching algorithms, and seamless UI for AR teams. It improved the percentage of auto-matched and cleared payments from 30% to 80%, reducing required manual work and increasing accuracy. Employee training time also fell significantly, while global deployment is underway. The project, built in less than four months by a compact development team, demonstrates significant time savings, scalability, and business impact through low-code innovation in financial operations.
MicrosoftEY enables global organizations to accelerate sustainability transformation
EY, a global professional services firm, partnered with Microsoft to deliver integrated sustainability performance management solutions addressing the challenges of fragmented ESG data, measurement, and decarbonization strategy. EY implemented Microsoft Sustainability Manager and Power Platform solutions for automated tracking, analytics, and reporting, and co-developed Microsoft Cloud for Sustainability Data Solution in Fabric. The integration of Copilot brought AI-powered predictive analytics, anomaly detection, and automated footprint reduction to the workflow. These offerings have helped more than 100 organizations streamline ESG compliance, gain real-time insights, and design actionable Net Zero pathways. The joint approach enables customers to consolidate their sustainability data, improve reporting accuracy, and drive enterprise-wide decarbonization.
EY Tax Copilot training/enablement program using Azure OpenAI Service and Power Platform
EY launched EY Tax Copilot as an education and enablement program to prepare EY Tax professionals globally to use generative AI and low-code technologies responsibly.The program was created with Microsoft to help EY improve tax platforms including EY Global Tax Platform, EY Mobility Pathway, EY Global Payroll Operate, EY Tax FS, and EY Indirect Tax, while supporting tax professionals and clients.EY says the program uses Azure OpenAI Service, Microsoft Power Platform, and EY Fabric to connect tax technology assets, reduce duplication, and help professionals build and accelerate solutions.
EY transforms Nordic salary review process with digital automation
EY Nordic Tech Hub developed a digital solution, EarnEY, harnessing Microsoft Power Platform to automate and streamline their annual salary review process across Denmark, Norway, S...
MicrosoftEY transforms employee experience for hybrid and frontline workers
EY, a global professional services firm, partnered with Microsoft to enhance its employee experience for both knowledge and frontline workers, leveraging advanced Microsoft technologies. The deployment included Microsoft Viva, Microsoft Teams, and Azure AI-powered insights to provide a holistic, data-driven approach to flexible and hybrid work. Key focus areas included using digital feedback and digital exhaust data to analyze employee engagement, foster connection across distributed and remote teams, and empower frontline staff with mobile-friendly solutions. Continuous monitoring and analysis helped close the gap between employer intent and employee experience, while enabling new models of collaboration and learning. Technology facilitated both targeted manager insights and broad organizational culture-building. Strategic outcomes included more actionable data for leadership, reduced administrative overhead, greater inclusivity, and higher productivity. The approach also addressed current workplace shifts, supporting the cultural and operational recalibration needed to thrive in a state of constant change.
MicrosoftEY supports Canadian energy companies with digital transformation and AI-driven operations
EY partnered with Microsoft to help several Canadian energy companies modernize operations in response to the pandemic, addressing increased cyber threats and operational complexity.The collaboration deployed Azure cloud services, Power BI, and Microsoft Teams, digitizing infrastructure and enabling rapid data integration and visualization across operational, finance, and internal communications areas.Azure DevOps and Azure Data Pipelines were used to streamline software development and reporting; Azure Databricks, PySpark, and Azure SQL deployed machine learning models to predict risks.EY built customized Power BI dashboards and Power Platform solutions for analytics, enabling better financial decision-making and supporting a shift to remote work.A new employee portal modernized internal communication—using Teams, Mesh mixed reality, and Power Platform for automations—improving cohesion and user experience.Azure’s advanced analytics combined data from SAP and other systems, with Databricks providing NLP-powered purchasing analytics, improving supply chain and resource allocation.The work led to measurable gains in cybersecurity, operating efficiency, data-driven management, and overall business resilience, with EY Canada receiving the 2021 Microsoft Industry Innovation Impact Award.
MicrosoftEY automates PPP loan forgiveness for US banks
During the COVID-19 pandemic, the US government launched the Paycheck Protection Program (PPP) to aid small businesses with loans and possible forgiveness. As eligibility and forgiveness criteria changed frequently, banks and their partners needed rapid, low-cost solutions for massive loan processing. Ernst & Young (EY), a global professional services firm, identified this as an opportunity and developed an automated platform utilizing the Microsoft Power Platform and various Azure services. The platform enables end-to-end handling of PPP loan forgiveness, including document intake, validation, cross-checking, and secure submission to the US Small Business Administration (SBA).The solution was rapidly prototyped, allowing EY to demonstrate a functional product to potential clients and win contracts with multiple regional banks. It features modular architecture for agile updates, supports bank and borrower branding, and integrates with third-party tools for document verification and communication. Security is tightly enforced through encryption and Microsoft identity solutions, with additional compatibility for external services such as MOVEit, DocuSign, SendGrid, and ServiceNow. Real-time dashboards powered by Power BI allow banks to monitor operations and key metrics.Within months, the platform helped regional banks process over 50,000 loans totaling more than $10 billion, dramatically cutting processing time from months to just 12 weeks. EY’s PPP loan forgiveness solution has since inspired additional product development and proved the effectiveness of low-code, cloud-based approaches to complex, large-scale financial operations.