Consulting firm KPMG is launching services — built on Oracle Cloud Infrastructure (OCI) and agent development technology — to help customers build and deploy AI agents on an enterprise scale.
Oracle technology provides the data management, cloud infrastructure, and agent orchestration capabilities in the new KPMG offerings.
This initiative follows KPMG’s launch in June of Workbench, a platform for agent-to-agent communication. Workbench is built on Microsoft’s Azure AI Foundry and it supports communications between agents from Oracle, Salesforce, ServiceNow, Workday, and other vendors that provide corporate systems of record. At the time of launch, Workbench included 50 AI agents built on a range of large language models for diverse industry sectors.
KPMG’s work also follows a major AI agent management/orchestration initiative from a big competitor, PwC, whose agent OS platform provides governance, interoperability, and tooling for enterprise-class agentic systems.
Data Management Features
KPMG is tapping Oracle’s OCI Generative AI Service and AI Agent Studio to build custom AI agents and agent templates designed to address the need for enterprise data management which is, of course, Oracle’s forte.
OCI hosts KPMG’s GenAI data management software suite, which includes:
- A pre-built datastore
- A data management application
- A system prompt management layer
- Pre-built agents for common business processes
- An agent scheduling function
- Ability to create agentic workflows in which agents call other agents
AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details.
Key features of the KPMG GenAI data management software include pre-built agents offering natural language access to transactional data, creating an alternative to traditional reports and application search. Compatibility with various large language models or custom models means customers have flexibility in selecting and deploying AI models.
Using AI Agent Studio, customers can develop agents that are natively integrated with Oracle Fusion applications. Because the agents support Oracle roles and permissions, they will not add security complexity. In addition, the software’s data model can connect to data from multiple ERP systems.
Customers can also build and deploy agents with specialized knowledge to interact with organizational data; such agents will have a data management component to stay continually updated with the most current information.
Built with an “ask anything” approach, the KPMG software can extract information from multiple sources with a single user query and provide unified answers. This capability enables trend analysis and insights using potentially thousands of records, rather than single-record replies, while eliminating the need for users to navigate through multiple systems or forms.
Agents have scheduling functionality for proactive monitoring and security measures to restrict users to specified prompts and data sources.
KPMG supplied examples of how its agents can impact specific vertical industries:
- In consumer and retail organizations, agents can streamline invoice and payment processes while assisting in navigating supply chain disruptions by identifying spend patterns and cycle time inefficiencies. They can also perform contract management for insights into supplier performance.
- In financial services, KPMG AI agents will provide intelligent decision-making that can accelerate the financial close process. A prebuilt financial analysis agent empowers users to pinpoint the factors behind financial variances, helping them understand the impact on financial performance by offering in-depth analysis of P&L data across different financial products, locations, and time periods.
The KPMG AI Agent Hub experience, offered at KPMG “Ignition Centers” or client locations, provides tools and methodologies to identify AI agent use cases, design agents using Oracle AI Agent Studio, and establish governance to scale agents across the enterprise.
This latest agent development and management initiative from a top tech consulting firm highlights the rapid maturation of AI agents and the infrastructure needed to build and manage them, as well as the opportunities for partners in the AI ecosystem to make it easier for customers to tap into their diverse software estates with agents. The continued focus on building multivendor functionality ensures the AI revolution’s momentum will only accelerate.
Ask Cloud Wars AI Agent about this analysis
