What challenges did KPMG face before AI implementation?

Organizations struggle with data quality and data integration complexity. Clients need governed AI agents that can fit unique business needs and work across enterprise systems. KPMG wanted to speed customer AI adoption and improve productivity and operational efficiency.

What was the impact of the AI solution?

The article says the solution reduces the time and resources required for data integration. It provides natural language access to transactional data instead of traditional reports and search. KPMG can deploy enterprise-ready and industry-specific agents more quickly, improving productivity and operational efficiency.

Source

ProductionEvidence: Medium55/100

KPMG Accelerates Agentic AI and Enhances Enterprise Data Solutions with Oracle

Use case typeData governanceUpdated Aug 7, 2025

KPMG has launched a GenAI data management solution and related AI Agent Hub experience to help customers deploy and manage AI agents for enterprise data management and business processes. The solution is hosted on OCI and uses Oracle AI Agent Studio for Fusion Applications to create custom agents and agent templates, with native integration to Oracle Fusion Applications and orchestration across the enterprise. KPMG says the approach can reduce time and resources for data integration, provide natural language access to transactional data, and accelerate deployment of enterprise-ready agents for customer needs.

Organization: KPMG
Industry: Professional Services
Location: United States
Published: August 2025

Reported outcomes

Strategic outcomes

Other strategic outcomeReduced time and resources for data integrationBetter decisions & insightNatural language access to transactional dataSpeed & agilityFaster deployment of enterprise-ready agents

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: KPMG
Provider: Oracle
Maturity: Production
Linked source: KPMG

KPMG can deploy enterprise-ready and industry-specific agents more quickly, improving productivity and operational efficiency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Data governance
2Decision support

Organizations struggle with data quality and data integration complexity.
Clients need governed AI agents that can fit unique business needs and work across enterprise systems.
KPMG wanted to speed customer AI adoption and improve productivity and operational efficiency.

OCI Generative AI Service hosts KPMG's GenAI data management solution.
Oracle AI Agent Studio for Fusion Applications is used to build custom agents and agent templates.
The platform includes a prebuilt datastore, system prompt management, user interface, agent scheduling, and agent-to-agent workflows.
KPMG's AI Agent Hub helps identify high-impact use cases, design agents, and establish governance to scale them.

Technologies

OCI Generative AI Service Oracle AI Agent Studio for Fusion Applications Oracle Fusion Applications

The article says the solution reduces the time and resources required for data integration.
It provides natural language access to transactional data instead of traditional reports and search.
KPMG can deploy enterprise-ready and industry-specific agents more quickly, improving productivity and operational efficiency.

Architecture

A KPMG GenAI data management and agent hub solution hosted on OCI, built with OCI Generative AI Service and Oracle AI Agent Studio for Fusion Applications, including prebuilt datastore, prompt management, scheduling, custom agents, and agent-to-agent workflows.

Sources & evidence1

Evidence: Medium55/100Evidence strength