Normalized claim
Productivity: 20-40%
20-40% efficiency gains in coding and documentation workloads.
Last evidence check: Jun 1, 2026
KPMG embarked on an ambitious workforce transformation by deploying Microsoft Copilot for Microsoft 365 and Azure OpenAI solutions to augment both internal operations and those of its clients. The initiative leveraged KPMG's workforce. AI methodology for identifying and automating knowledge worker tasks, ensuring alignment of cybersecurity, risk, and compliance at every step. The solution featured privately hosted LLMs, deep integration with enterprise data, and custom Copilot agents tailored to specific business domains. KPMG delivered five targeted GenAI use cases—including productivity, content creation, software development, finance, and knowledge management—across 15,000+ users within just three months, driving rapid, scalable adoption. The program included robust governance, change management, and data security controls, coupled with dashboards and insights to monitor and boost Copilot utilization. Early results revealed significant efficiency and capacity gains, positioning KPMG as a leader in AI-powered transformation for professional services and client delivery.
Normalized claim
Productivity: 20-40%
20-40% efficiency gains in coding and documentation workloads.
Last evidence check: Jun 1, 2026
Normalized claim
Revenue: 36%
36% modeled capacity gain in sales and other functions.
Last evidence check: Jun 1, 2026
Deployed Microsoft Copilot for Microsoft 365, Copilot for Sales, Copilot for Service, and custom Copilot agents on Azure OpenAI
Primary read
Showing 3 of 5
Privately hosted Azure OpenAI LLMs underpin the implementation, integrated with enterprise data sources. Copilot agents and applications are layered across domains (Sales, Service, Finance, Development), while change management and insights dashboards (Viva Insights) provide governance. Cybersecurity, compliance, and risk teams are aligned early, ensuring secure data access and controlled rollout. Custom Copilot agents serve specific functional needs, all within a scalable, modular model.
The same organization appears in newer AI deployment evidence.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
Was this useful?
Community
No published comments yet.