Affect Performance Team

|News|Nov 11, 2026

Oracle NetSuite Introduces AI Workspaces, SuiteSkills, and SuiteAgent Studio

On October 26, 2026, at the SuiteWorld conference in Las Vegas, Oracle NetSuite introduced new AI tools for its enterprise ERP platform, NetSuite Next. The updates include AI Workspaces, more than 45 ready-made SuiteSkills business skills, industry AI agents, the SuiteAgent Studio builder, and new Ask Oracle capabilities for interacting with external applications through Model Context Protocol (MCP). Oracle is developing NetSuite toward an autonomous ERP system in which AI is not limited to finding information and generating reports but helps perform operations, identify problems, and coordinate employees' actions.

At the same time, the company distinguishes between available and announced features. SuiteSkills, AI Workspaces, AI Portlets, and some industry SuiteAgents are already available in the markets where NetSuite Next is offered. SuiteAgent Studio, SuiteFlow Agent, expanded Ask Oracle MCP connectors, and agent management tools are planned for future releases.

AI Workspaces: Collaboration Between Employees and AI Agents

AI Workspaces is a new type of NetSuite Next workspace that brings together employees, AI agents, company data, and approval procedures. Unlike the traditional ERP interface, where the user opens documents, reports, and forms one after another, an AI Workspace organizes work around a specific business process. For example, the financial period close process may include reviewing journal entries, matching payments, identifying discrepancies, and approving adjustments.

In the usual scenario, these actions are performed in different sections of the ERP and require several employees to interact. An AI Workspace makes it possible to combine related tasks in a single workspace and bring in AI agents to perform individual operations. Employees retain control over actions that require review or approval.

Oracle names Autonomous Close as the first showcase scenario, a workspace for automating the financial close. It helps identify and resolve accounting issues during the reporting period instead of discovering them only when the final reports are prepared. Oracle's goal is to bring finance teams closer to a Zero-Day Close model, in which a significant part of the checks is performed continuously rather than concentrated at the end of the month.

However, Zero-Day Close is a direction of product development, not a guaranteed result of implementation. The speed of the close depends on the quality of accounting data, internal policies, and connected processes.

AI Portlets: Analytics Widgets on User Request

AI Portlets expand the options for customizing NetSuite dashboards. The user can describe in natural language which data needs to be analyzed, and the system will prepare a corresponding analytics block. For example, a CFO can request a comparison of actual sales with the forecast used when approving the marketing budget.

NetSuite will generate a view with suitable metrics, charts, and available actions. Such widgets can be used to monitor revenue, financial results, budget variances, and operational metrics. An important difference between AI Portlets and ordinary chart generation is the connection to ERP business processes.

The user gets not only a visualization but also the ability to move on to actions in NetSuite, if they are provided for the specific scenario and permitted by the user's role. For marketing teams, the feature can be useful when comparing promotion spend with actual revenue and sales results.

However, AI Portlets do not replace advertising platform integrations or marketing attribution. To analyze campaign performance, the corresponding data must flow into NetSuite and be comparable in terms of business logic.

SuiteSkills: More Than 45 Ready-Made Business Skills for AI

Oracle NetSuite introduced more than 45 SuiteSkills, prepared sets of business knowledge and instructions for AI focused on specific ERP tasks. SuiteSkills combine information about financial and operational processes, industry knowledge, and access to company data. They allow AI not just to answer questions but also to perform more specialized analysis.

For example, a finance specialist can ask it to figure out why the period close is delayed. The AI uses the corresponding SuiteSkill, examines the available accounting data, and helps identify the transactions that need attention. Another scenario is finding potential revenue leakage due to errors in invoicing or in fulfilling contractual obligations. For companies that manage inventory, SuiteSkills can help identify exceptions in deliveries and order fulfillment.

The ready-made skills are available through Ask Oracle, as well as through supported external language models connected using NetSuite AI Connector Service. This way, a company can use NetSuite's specialized business logic not only in the built-in assistant but also in its usual AI environment.

At the same time, SuiteSkills operate within the existing ERP roles and permissions. Having a skill does not give the AI automatic access to all data or the right to change any records on its own.

Industry SuiteAgents for Finance, Inventory, and Projects

In addition to the general-purpose SuiteSkills, Oracle introduced industry AI agents called SuiteAgents. They are designed for tasks that require knowledge of a specific business model. For software companies, the agents help monitor contractual obligations, revenue, margins, and the financial risks of the subscription model.

For product companies, there are scenarios for analyzing inventory, changes in supply, and risks related to order fulfillment. In construction, the agents focus on managing project budgets and costs and preserving contract profitability. Oracle also introduced areas for healthcare organizations and the nonprofit sector, including monitoring financial risks and complying with grant funding terms.

For example, a company that carries out complex projects can use a SuiteAgent to detect cost overruns relative to the planned budget. The agent analyzes the available financial and operational data and helps identify issues that require an employee's intervention. This distinguishes an industry SuiteAgent from a general-purpose chatbot: its tasks are linked in advance to specific ERP processes and metrics.

However, availability differs by industry. At the time of the announcement, Oracle reported that only some of the industry agents are available. The remaining scenarios will be launched in subsequent releases.

SuiteAgent Studio: A Builder for Custom AI Agents

SuiteAgent Studio is an announced environment for creating and configuring company AI agents inside NetSuite. It will allow organizations to develop their own automation scenarios that take the specifics of their business into account. In SuiteAgent Studio, the user will be able to configure the agent's instructions, the available tools, the launch triggers, and the role under which operations are performed.

Two main launch methods are provided: on a schedule and in response to a specific business event.

For example, a company will be able to create an agent that checks overdue invoices every day and prepares a list of customers that require the finance team's attention. Another scenario is an agent that responds to a change in order status and checks whether the necessary approvals are in place. Before activation, the administrator will be able to refine the instructions, the available actions, and the execution conditions.

This architecture makes it possible to automate recurring operations without creating a separate AI application for each process.

However, SuiteAgent Studio is not a generally available product as of the October 26 announcement date. Oracle describes it as functionality of a future release.

The company has not yet disclosed the final licensing terms, the full set of tools, or the exact date of general availability.

SuiteFlow Agent: Creating ERP Automations Through Natural Language

Another announced tool is SuiteFlow Agent. It is designed for configuring NetSuite workflows through natural language instructions. Instead of manually configuring a sequence of conditions and actions, the administrator will be able to describe the required rule.

For example: "When a purchase order is created, make the order number a required field and show a warning if the amount exceeds the set limit." SuiteFlow Agent is meant to convert such an instruction into the corresponding workflow configuration.

Oracle gives examples of creating rules that make fields required, set fields to read-only, and display messages when business conditions are met. Before the workflow is created, the user will be able to review and confirm the proposed settings. This is important for ERP, where an incorrect automation rule can affect financial documents, purchase approvals, and other critical operations.

SuiteFlow Agent is also one of NetSuite's future capabilities, not one of the already available features of the October update.

SuiteAgent Management Workspace: Oversight of AI Agent Actions

The growing number of automated processes requires centralized management of AI agents. For this, Oracle announced SuiteAgent Management Workspace. Administrators will be able to manage agents' access, their permissions to perform operations, their activity, and their status.

It will be possible to turn individual agents on and off. The system is also meant to show notifications about execution errors. Changes to records will be logged using System Notes, which will make it possible to track actions taken in the ERP.

For example, if an agent changed order parameters, the administrator will be able to review the related history of actions and determine the origin of the change. Oracle is also developing an oversight model in which operations with Create, Edit, and Delete permissions require appropriate confirmation, while read-only actions can be performed with fewer manual approvals. This approach helps separate the agent's analytical activity from actions that change financial and operational data.

However, as of the October announcement, Management Workspace is also among the planned features.

Ask Oracle Connectors: MCP Support for External Systems

One of the important areas of the update is extending Ask Oracle beyond the ERP's own data. Oracle announced Ask Oracle Connectors with Model Context Protocol support. Here it is necessary to distinguish between two integration mechanisms.

NetSuite AI Connector Service allows external AI applications to access NetSuite data and functions. For example, a company can connect a supported AI assistant and give it access to certain ERP operations.

Ask Oracle Connectors develop the reverse scenario: NetSuite's built-in assistant will be able to access the data and actions of other systems through MCP.

In this way, Ask Oracle acts as an MCP client that uses external tools. For example, an employee in the finance department will be able to ask Ask Oracle to match information from NetSuite against documents or records from another connected business system. Oracle also describes capabilities for web search, analysis of supporting documents, and performing permitted actions in external applications.

Examples include sending a document for approval, changing an order, or putting a payment on hold. This extends Ask Oracle from an interface for interacting with the ERP into a tool for coordinating operations across several company systems.

At the same time, Ask Oracle Connectors have only been announced so far. Oracle has not presented a complete list of supported external applications and has not announced an exact availability date for the new MCP client functionality.

Ask Oracle and NetSuite Data Intelligence: Analyzing Company Data

Oracle also announced the expansion of Ask Oracle's analytics capabilities through NetSuite Data Intelligence. This is the new name and further development of NetSuite Analytics Warehouse. The platform brings together financial and operational information for analyzing business results.

The announcement presents two areas of AI functionality. NetSuite Data Intelligence Agent will make it possible to access analytics data through a conversation with Ask Oracle. Deep Insights Agent is designed to provide business recommendations and identify opportunities based on the available information.

For example, a CFO will be able to examine deviations of actual revenue from the forecast or identify areas where operating expenses are growing. For a company that manages several sales channels, the analytics agent can help compare metrics by division, product, and period. The main advantage here is related to the use of a single company context.

Unlike an external AI tool that needs to be given exports separately, Ask Oracle works with the data and models available in NetSuite.

At the same time, the new Data Intelligence agents belong to future updates. Having Ask Oracle in the current version of the platform does not mean that all of the announced analytics features are automatically available.

Integration With Claude, ChatGPT, and Other AI Models

Oracle continues to develop the Bring Your Own AI model, which allows companies to use external language models to work with NetSuite. It is based on NetSuite AI Connector Service with MCP support. Through it, users of supported AI applications can access permitted ERP data, run analytical queries, and use the available tools.

In March 2026, Oracle expanded this infrastructure by introducing AI Connector Service Companion, a library of ready-made prompts, and MCP Apps interface components. Companion includes more than 100 query templates focused on finance tasks, as well as ready-made sets of instructions that help models interpret the structure of NetSuite data more accurately. MCP Apps make it possible to use inside AI assistants not only text answers but also structured interfaces for selecting reports and records.

The October SuiteSkills complement this architecture with specialized business logic. Thus, Oracle does not require using only its own AI interface: organizations can combine Ask Oracle with external AI applications while keeping access controls at the ERP level. However, the specific capabilities depend on the supported AI client and the permissions granted.

Using AI Agents for E-commerce, Service, and B2B Companies

For E-commerce companies, the most practical elements appear to be the industry agents and SuiteSkills related to inventory management, order fulfillment, financial variances, and operational risks. For example, a company can identify situations in which sales of a certain category are growing faster than available inventory, and supply delays create a risk of unfulfilled orders. For service companies, AI Workspaces and the future SuiteAgent Studio can be used to automate approvals, monitor contractual obligations, and support the finances of projects.

For B2B SaaS companies, scenarios for analyzing subscription revenue, contract fulfillment, invoicing, and identifying potential revenue leakage are of interest. For marketing teams, AI Portlets and Ask Oracle's analytics capabilities can help compare commercial plans with actual results. For example, you can examine how well revenue growth matches the forecast built in when the marketing program was approved.

However, NetSuite remains an ERP platform, not a specialized advertising management system. The new tools do not replace Google Ads, Meta Ads, CRM attribution, or marketing experiments. Their value lies primarily in using consistent financial and operational data for decision-making.

Availability of AI Workspaces, SuiteSkills, and SuiteAgent Studio

As of October 26, 2026, Oracle NetSuite divides the new tools into available and planned. SuiteSkills (more than 45 skills): available in NetSuite Next.

AI Portlets: available in NetSuite Next.
AI Workspaces: available in NetSuite Next.
Certain industry SuiteAgents: available in NetSuite Next.
SuiteAgent Studio: future release.
SuiteFlow Agent: future release.
SuiteAgent Management Workspace: future release.
Ask Oracle Connectors with MCP client: future release.
New NetSuite Data Intelligence agents: future release.

The available features are offered in the markets where NetSuite Next has already launched. The transition to NetSuite Next began in July 2026 with the U.S. and Canada. Expansion to other countries is taking place gradually. Existing NetSuite customers can try Ask Oracle separately from a full transition to NetSuite Next, if this option is supported in their region.

Oracle also allows the new interface to be enabled for individual user roles, without a mandatory data migration or a reimplementation of the ERP.

At the same time, the exact availability dates for the planned agents and MCP connectors have not been disclosed. In the official announcement, Oracle specifically cautions that development plans and launch terms may change.

Oracle NetSuite: Moving From AI Analytics to Automating Business Operations

Oracle NetSuite is a cloud ERP platform for managing finances, orders, inventory, customer operations, and other company processes. The October announcement develops the NetSuite Next strategy toward deeper automation. AI Workspaces bring employees and agents together around business processes. SuiteSkills give AI ready-made expertise for solving specific tasks. SuiteAgent Studio will allow organizations to create their own agents, and Ask Oracle's new MCP capabilities will extend work with external systems.

An important element of the architecture remains the preservation of existing roles, permissions, and approval procedures. Oracle aims to move AI from auxiliary reporting tools directly into the ERP's operational activities.

However, as of the announcement date, only part of this architecture has been implemented. Ready-made skills, analytics widgets, and some industry agents are already available in NetSuite Next, while custom agents, their centralized management, and Ask Oracle's new MCP client capabilities require future releases.

Therefore, the practical effect of the updates should be assessed separately for the features that are already available and for the announced direction of the platform's further development.