Oracle NetSuite embeds AI to run core business workflows

It unveiled “NetSuite Next,” weaving AI into its cloud ERP for context-aware decisions.

Oracle NetSuite has launched “NetSuite Next”, a major evolution of its enterprise resource planning (ERP) platform that integrates artificial intelligence (AI) and agentic workflows across finance, supply chain, and customer operations.

The release aims to make AI a native part of how users search, analyse, and act on data in NetSuite, rather than a bolt-on tool. The company said customers will be able to switch to the new experience without migrations, with features rolling out first in North America over the next 12 months.

“Every insight and action is rooted in data and governed by the existing roles, permissions, and policies our customers depend on,” said Evan Goldberg, founder and executive vice president of Oracle NetSuite, during his Opening Keynote at SuiteWorld in Las Vegas on 7 October.

“It enables users to discover patterns in their business and engage with NetSuite in their own words, all whilst understanding an individual user’s context, so it can deliver answers and actions that provide immediate value,” he added.

What’s in the release
Core to the experience is Ask Oracle, a natural-language assistant that lets users search, navigate, analyse, and take actions across their NetSuite data and customisations from within the suite. The company said Ask Oracle understands user roles and context, generates visualisations and explanations, and works across partner applications built on SuiteCloud.

NetSuite Next also introduces AI Canvas for collaborative analysis and agent triggering; narrative summaries that surface correlations and trends in-line on record forms and reports; and agentic workflows that can automate multi-step tasks such as payment proposals, vendor selection, reconciliations, and field-service scheduling, with optional human approval.

A new document and knowledge integration capability uses large language models to extract and validate information from invoices, contracts, receipts, policy manuals, and purchase orders, turning previously isolated documents into structured data the system can act on.

Under the hood, NetSuite Next runs on Oracle Cloud Infrastructure (OCI) and a unified data model with explainable, auditable AI and the Redwood Design System. Oracle NetSuite said customers can move to NetSuite Next “with the press of a button” and without disrupting existing customisations.

Why it matters for operators

In on-stage demonstrations, NetSuite showed a CFO using Subscription Metrics and natural-language prompts to break down customer acquisition cost payback by segment and combine it with lifetime value ratios for capital-allocation decisions.

The company also previewed intelligent pricing, where AI helps set date-effective price rules, monitor competitor prices on public websites, and recommend temporary matches, complete with a trail of sources for verification.

“These are not just tools to run your business, it's intelligence to transform it,” Goldberg said.

For operations teams, an agentic scheduling example used Ask Oracle to weigh technician proximity against prior case history and expertise, reschedule lower-priority jobs, notify customers by text, and keep managers updated with real-time status changes.

Governance and rollout

Executives repeatedly framed trust and control as central to adoption. In a media briefing with journalists at SuiteWorld, Goldberg said the company wants to avoid US-centric assumptions as it expands the new capabilities beyond North America.

“We’re going to be testing it internationally very soon, and we’ll be getting these features out monthly all over the world, everywhere NetSuite is available,” he said.

From the roundtable, Goldberg elaborated that the testing period is short. “It’s really just this first couple versions… a question of testing and being confident that’s not a year-long effort… that’s a month long. So by next year, I anticipate that everything will be going into this.”

English-speaking markets in Asia are expected to follow next, he added.

NetSuite emphasised that AI actions will respect existing roles, permissions, and policies. Recommendations and autonomous steps can be constrained by task risk, with human-in-the-loop approval where needed, particularly for write operations that affect the general ledger.

“It’s task-specific. We’re building different controls and human-in-the-loop mechanisms depending on the risk level of the task,” Brian Chess, senior vice president of technology and AI at Oracle NetSuite, said during the same media briefing.

The firm also said explanations will accompany insights and proposed actions so finance and audit teams can validate “how” and “why” a recommendation was made before execution.

Developer and partner implications

Although NetSuite Next is positioned as an end-user experience, the company is also expanding how developers and administrators compose AI-driven processes.

The SuiteCloud platform is being updated to support building custom SuiteAgents, connecting external AI assistants via the Model Context Protocol (MCP), and exposing NetSuite’s document-analysis and narrative services through toolkits.

In demos, the SuiteCloud Developer Assistant generated SuiteScript and unit tests from natural-language specifications and deployed a working SuiteApp, illustrating how low-code and code-assist could shorten customisation cycles.

Gary Wiessinger, senior vice president of application development at Oracle NetSuite, said the platform’s openness is designed to keep developers ahead of AI’s rapid pace of change. “We’re not building based on where the technology was months ago or today. As it evolves, we’re bringing in the latest and greatest capabilities so customers and partners can take advantage of them immediately.”

This approach aligns with NetSuite’s broader claim that AI must understand enterprise data structures, not just text. By anchoring assistants and agents in the suite’s object model and permissioning, Oracle NetSuite is betting that context-aware AI will deliver more reliable results than generic chat tools, especially in regulated processes such as pricing, credit approvals, and financial close.

“We’re marrying technology that can deal with numbers, which is NetSuite, with the technology that can deal with text, which is these large language models… that’s where the ultimate power comes from,” Goldberg said.