KPMG Introduces AI Agent Services on Oracle Cloud Infrastructure
KPMG is rolling out new AI agent services built on Oracle Cloud Infrastructure (OCI) to help enterprises develop and deploy AI agents at scale. Leveraging Oracle’s expertise in data management and cloud infrastructure, these offerings provide a solid foundation for managing AI agents across complex business environments.
This launch follows KPMG’s earlier introduction of Workbench in June, a platform that enables communication between AI agents from multiple vendors such as Oracle, Salesforce, ServiceNow, and Workday. Workbench supports over 50 AI agents developed on various large language models, serving diverse industry needs. KPMG’s move also comes after PwC’s agent OS platform, which focuses on governance and interoperability for enterprise AI agents.
Enterprise Data Management with Oracle OCI
KPMG’s new AI services utilize Oracle’s OCI Generative AI Service and AI Agent Studio to create custom AI agents and templates. These are designed specifically to address enterprise data management challenges, an area where Oracle has strong capabilities.
The KPMG GenAI data management suite hosted on OCI includes:
- Pre-built datastore
- Data management application
- System prompt management layer
- Pre-built agents for common business processes
- Agent scheduling function
- Ability to create workflows where agents interact with each other
These components allow users to access transactional data through natural language queries, replacing traditional reporting and search methods. The platform supports multiple large language models or custom models, giving enterprises flexibility in AI deployment. Agents developed with AI Agent Studio integrate directly with Oracle Fusion applications and respect existing security roles and permissions, minimizing security risks.
Importantly, the system can connect to data across various ERP platforms and supports agents that maintain updated knowledge by continuously syncing with organizational data.
How KPMG Agents Deliver Business Value
The AI agents are built with a simple "ask anything" interface that pulls information from multiple sources in one query. This eliminates the need for users to juggle multiple systems and provides comprehensive insights, including trend analysis based on thousands of records rather than isolated data points.
Security is managed through prompt and data source restrictions, and agents can be scheduled for proactive monitoring of key metrics.
KPMG highlights specific industry applications:
- Consumer and Retail: Agents help streamline invoice and payment workflows, identify spending patterns, and improve supply chain efficiency. They also assist in contract management by analyzing supplier performance.
- Financial Services: AI agents speed up financial close processes and provide detailed variance analysis in financial reports. Users can better understand performance drivers across products, locations, and periods.
The KPMG AI Agent Hub Experience
KPMG offers the AI Agent Hub experience at its Ignition Centers or directly at client sites. This service includes tools and methodologies to identify AI use cases, design agents with Oracle AI Agent Studio, and implement governance frameworks to scale AI agent deployment enterprise-wide.
This development reflects the increasing maturity of AI agents and the infrastructure required to manage them effectively. It also emphasizes KPMG’s commitment to enabling multivendor AI functionality, making it easier for enterprises to integrate AI agents across diverse software landscapes.
For management professionals looking to deepen AI knowledge or implement AI solutions, exploring custom AI agent development and orchestration platforms like KPMG’s offering can be a strategic advantage. To learn more about AI tools and training, consider visiting Complete AI Training.
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