AI that assists with audit preparation, evidence review, testing, and reporting. It reduces manual audit effort and helps standardize repetitive assurance tasks.
Use cases
7
Examples
7
Industries
2
Timeline
5 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
7 cases documented across 25 months (Jul 24 – Jul 26), peaking at 3 in April 2026.
AI Use Cases Hub
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
2.9Innovativeness2.9/5Differentiated2.9/5 - Differentiated. This is a well-executed Copilot Studio audit workflow with controlled SharePoint retrieval and Teams deployment, but it remains a fairly standard enterprise assistant pattern rather than an especially novel architecture. Relative to the calibration cases, it is much closer to a productivity assistant than to advanced multi-agent healthcare workflows.
Grupo Bimbo built two AI agents, Audit Assist and Comatrix, to improve global internal audit workflows.Audit Assist provides policy-aligned audit guidance from SharePoint, while Comatrix generates risk and control matrices for audit planning.The agents are deployed through Microsoft 365 Copilot and Microsoft Teams to reduce rework, bottlenecks, and delays across regions.
4.2Innovativeness4.2/5Advanced4.2/5 - Advanced. Compared with recent agentic AI cases, this is advanced because it combines enterprise agent coordination, multilingual document processing, human-in-the-loop review, and fine-tuning for a regulated operational workflow, but it is still a production implementation rather than a breakthrough architecture.
AES deployed gen AI agents to significantly increase the accuracy and speed of health and safety audits.The system processes multilingual audit documents, builds knowledge bases, and coordinates agent tasks with human review in the loop.
4Innovativeness4/5Advanced4/5 - Advanced. Advanced enterprise-scale agentic AI integration in audit platform with responsible AI governance and multi-agent framework on Microsoft cloud technologies.
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.
4Innovativeness4/5Advanced4/5 - Advanced. The use of large-scale multi-agent AI framework integrated into an enterprise audit platform with Microsoft Foundry and Fabric demonstrates advanced AI orchestration and operational innovation.
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.
4Innovativeness4/5Advanced4/5 - Advanced. Sophisticated enterprise-scale multi-agent AI architecture integrated with Microsoft Foundry and Fabric supporting dynamic risk management and global audit orchestration across 150+ countries.
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.
3Innovativeness3/5Differentiated3/5 - Differentiated. PwC’s NGA audit platform combines document extraction, analytics integration, and genAI/search tooling within a multi-service Azure architecture to streamline audit operations at scale.
PwC, a global professional services leader, invested $1 billion to develop its Next Generation Audit (NGA) initiative aimed at transforming audit operations through advanced AI and cloud technologies. Built on Microsoft Azure, NGA leverages solutions including Azure OpenAI Service, Azure Cosmos DB, Azure Kubernetes Service, Azure App Service, and Microsoft Fabric. The platform enables PwC to process vast audit datasets at enterprise scale, extract data from both structured and unstructured sources, and enhance audit quality. The platform ensures compliance with global data laws and prioritizes data security and sovereignty. Auditors benefit from streamlined processes, standardized methodologies, and tools like Azure AI Search and Azure AI Document Intelligence. This trust-centered solution improves efficiency and allows auditors to focus on higher-risk areas, while PwC further deploys Microsoft Copilot internally and in client engagements for enhanced productivity. The ecosystem is intended to be adaptable for future advances and is positioned to benefit not only PwC but the broader audit profession.
3.7Innovativeness3.7/5Advanced3.7/5 - Advanced. This is more advanced than a basic copilot because it embeds Azure OpenAI into a global audit platform, adds human-in-the-loop Trusted AI controls, and extends into workflow-specific features like automated quality scoring and transaction scoring. It is still close to other KPMG audit/productivity Microsoft implementations rather than a breakthrough architecture.
KPMG integrated generative AI into its global smart audit platform KPMG Clara to help auditors review engagement documentation, refine risk assessments, develop substantive testing procedures, and enhance audit documentation.The company says the platform is supported by a Trusted AI framework with human-in-the-loop controls and will also roll out prompt libraries, automated quality scoring, and AI/ML review of financial statements.
How many audit automation use cases are documented?
The AI Use Case Hub documents 7 real audit automation deployments across 2 industries, with 7 detailed company examples you can browse.
Which industries adopt audit automation the most?
Audit automation is most common in Professional Services (86%) and Energy & Utilities (14%).
Which countries lead in audit automation?
United States leads documented audit automation deployments, followed by United Kingdom and Canada.
What technologies are used for audit automation?
Teams most often build audit automation with Microsoft Fabric, Microsoft Foundry and Azure OpenAI.
What AI capabilities power audit automation?
Across the documented deployments, the most common capability patterns are Microsoft Fabric (71%), Agent (71%) and Multi-agent (57%).
What results do companies report from audit automation?
Across the 7 deployments reporting outcomes, companies most often cite risk & compliance (86%), new product / capability (43%) and better decisions & insight (43%).
