Oracle NetSuite adds AI tools for safer data access
Oracle NetSuite has added new artificial intelligence features to its AI Connector Service, enabling customers to connect external AI assistants to NetSuite data and workflows.
The updates include AI Connector Service Companion, support for the NetSuite Model Context Protocol Apps extension, and broader support for NetSuite Analytics Warehouse. They are designed to let customers use AI models of their choice with NetSuite while maintaining controls over data access and user permissions.
AI Connector Service is a standards-based integration service that supports Model Context Protocol, or MCP. It is designed to let businesses connect their own AI assistants to NetSuite in a governed way and manage how those assistants interact with NetSuite data, workflows and analytics.
New tools
One of the main additions is AI Connector Service Companion, which Oracle NetSuite described as a way to help AI assistants understand NetSuite's data structures, permissions and workflows. It includes a prompt library with more than 100 finance-focused templates tied to NetSuite terminology, data structures and role requirements.
Customers can edit existing templates or add their own prompts. The prompts are organised by business process and recommended user role.
The Companion also includes what NetSuite calls Skills, which provide supported AI models with reusable instructions, context and best practices linked to NetSuite tasks. The aim is to make outputs more consistent across finance and operational work.
Another addition is a set of MCP-ready roles that map AI access to specific NetSuite roles, including Chief Financial Officer, Controller, Accounts Receivable Analyst, Accounts Payable Analyst and Treasury Analyst. This structure is intended to keep AI access aligned with the software's existing role-based controls.
Assistant access
The new MCP Apps extension is intended to bring NetSuite-style interfaces into AI assistants. Instead of relying only on text prompts, users can work with structured elements such as forms, selectors and filters within the assistant interface.
Examples include a Prompt Library, Report Picker and Record Picker. These tools are designed to reduce trial and error by guiding users through report configuration, record selection and data navigation inside supported AI assistants.
The move reflects a wider push across business software to make AI tools easier for non-technical staff to use. A common obstacle has been the need for users to write effective prompts and understand the structure of underlying business systems before they can get reliable results.
Warehouse expansion
NetSuite has also expanded AI Connector Service support for NetSuite Analytics Warehouse. This extends AI access beyond live ERP transaction data to include historical, analytical and third-party data held in the warehouse.
Broader data access could allow customers to use AI for forecasting, analytics and cross-system analysis using information stored outside the core transactional environment. For finance teams, that may make it easier to query trends over time and combine operational and external datasets in one place.
Evan Goldberg outlined the company's position on customer choice and access to AI tools.
"We are committed to providing the most intelligent, extensible, and AI-ready system," said Evan Goldberg, Founder and Executive Vice President, Oracle NetSuite. "A strong data foundation is critical, but we also have to meet our customers where they are. Many are already working with AI assistants, and these extensions of the NetSuite AI Connector Service make it even easier and more intuitive to securely connect their own AI to their data and workflows," said Goldberg.
AI Connector Service Companion and AI Connector Service for NetSuite Analytics Warehouse are now available worldwide in English. MCP Apps will be released as part of the MCP Standard Tools SuiteApp and made available through the SuiteApp Marketplace.