MicrosoftExpandedProductionEvidence: Medium65/100

PwC reimagines audit operations and client service excellence

Use case typeAudit automationUpdated Jun 13, 2026

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.

Organization
PwC
Published
May 2025

Reported outcomes

Strategic outcomes

New product / capabilityBuilt an AI-powered audit platformBetter decisions & insightUnified audit data and analytics sourcesRisk & complianceStrengthened global compliance and data sovereigntyCustomer experience & trustReinforced client trust in audit handling
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
PwC
Provider
Microsoft
Maturity
Production
Linked source
microsoft.com

Deployed Microsoft Copilot for internal and client-facing productivity boosts

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1audit automation
  • 2document intelligence
  • 3AI search for guidance
  • Data volume: thousands of clients, some with petabytes of data, made audit processing slow and complex.
  • Need for global compliance and data sovereignty across 150+ countries.
  • Legacy audit processes were manual and did not adapt easily to new AI advancements.
  • Auditors spent significant time on lower-value, repetitive tasks.
  • Requirement for standardization and trust in audit data handling.
  • Built NGA on Microsoft Azure services (Azure OpenAI Service, Cosmos DB, Kubernetes, App Service).
  • Used Azure AI Document Intelligence to extract data from unstructured documents and compare to structured data.
  • Integrated Azure AI Search for faster access to audit guidance.
  • Unified disparate analytics and data sources using Microsoft Fabric.
  • Deployed Microsoft Copilot for internal and client-facing productivity boosts.
  • Streamlined data acquisition and analysis.
  • Allowed auditors to focus more on higher-risk areas.
  • Improved audit quality and consistency.
  • Meet global compliance and reinforced client trust.
  • Empowered over 10,000+ users in global audit engagements.
Architecture

NGA integrates Azure OpenAI Service for generative AI, Cosmos DB and App Service for data storage and processing, Kubernetes for orchestration, Microsoft Fabric for analytics, and Azure AI tools for document/data extraction, all underpinned by Azure global infrastructure for security and compliance.

Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
  • Recent evidence check available
  • Last evidence check: Jul 22, 2026.
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2026.
  • Cited source last checked Jun 12, 2026 — ok (0/1 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Customer StoryPublished: May 20, 2025Publisher: microsoft.comEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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