Scaling Agentic AI

Enterprise-scale AI
Agentic AI, Scaled
KPMG Workbench
Case Study
Our People

From innovation to enterprise scale

Scaling agentic AI means turning innovation into enterprise-ready capability. KPMG helps organizations accelerate this journey through KPMG Workbench, an AI orchestration platform built on Microsoft Azure and designed to support complex, multi-agent environments.

What sets KPMG apart is our Client Zero experience. We have tested, refined, and operationalized agentic AI solutions within our own organization before bringing them to clients—ensuring solutions are proven, scalable, and ready for real-world deployment.

What enables agentic AI at scale

Built-in trust and governance

Enterprise controls embedded by design, supporting compliance, security, and responsible AI.

Faster, higher-quality delivery

Accelerated development and orchestration of AI agents across business processes.

Interoperable architecture

Flexible, multi-vendor architecture built on Azure AI Foundry, enabling integration across ecosystems.

KPMG Workbench

KPMG has collaborated with Microsoft to build KPMG Workbench on Microsoft Azure AI Foundry services, enabling interoperable, agent-to-agent communication at enterprise scale.

By orchestrating and controlling AI agents within a single environment, Workbench integrates multiple models and tools while embedding governance, observability, and control. The platform supports data sovereignty requirements and aligns with ISO 42001, helping organizations deploy agentic AI with confidence.

Case study: KPMG

Redefining audit with agentic AI on Microsoft Azure

KPMG applies agentic AI to transform audit execution—from traditional sampling to full-population data analysis—enabling consistent, high-quality audits at global scale.

Deployed on Microsoft Azure, the solution supports more than 95,000 auditors across 140+ countries, improving efficiency while maintaining regulatory compliance, accuracy, and trust. The secure, enterprise-grade platform provides the foundation for innovation at scale while meeting the demands of a highly regulated environment.