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NetSuite 2026.1: AI Is Taking Over Your ERP (and Here's What You Need to Know)

Oracle released NetSuite 2026.1 with AI-generated narratives, a connector that lets you connect your data with models like Claude, and major analytics improvements. Here's what it means in plain English, whether you use NetSuite or not.

By Jhoana Molina

Published on May 29, 2026

5 min read

If you manage a business (whether you run it with NetSuite or not), you've probably heard this phrase a thousand times: "we need to make better use of the data we have." The problem has never been a lack of data, but the time it takes to turn that data into something actionable. NetSuite 2026.1, Oracle's latest update to its cloud ERP, is aimed directly at solving that problem.

At Deimos Solutions, we've spent years working closely with NetSuite on implementations, integrations, customizations, and day-to-day support. That's why, when Oracle releases a new version, we don't just read the release notes: we test the new features, compare them with what our clients actually need, and put together this overview so that anyone—whether you use NetSuite or not—can understand where modern business management is heading.

From Raw Numbers to Explanations You Can Actually Understand

Until now, a management system would show you a table and leave you to interpret it: Did this number increase because we sold more, or because costs went down? Is this inventory level low because of seasonality, or because there's a problem with a supplier?

NetSuite 2026.1 introduces AI-generated narratives: instead of simply displaying figures, the system analyzes them for you and explains what happened in a clear sentence. For example, when viewing the details of a location or warehouse, AI can alert you that physical inventory has decreased by 5%, that this has affected inventory valuation by 7%, and identify exactly which items are at risk of running out of stock.

This also applies to:

  • Open purchase orders, helping anticipate supplier delays before they become a problem.
  • Inventory snapshots, automatically detecting excess or insufficient stock.
  • Support and customer service cases, summarizing customer history, sentiment, and escalations at a glance. This can significantly reduce resolution times and help a new team member get up to speed in minutes.

In plain English: AI doesn't replace the person making the decision. It saves them from the most tedious part—reading and interpreting reports—so they can focus on making decisions.

Your Data, Connected to the AI You Already Use

One of the most interesting new features for us as implementers is the new MCP (Model Context Protocol) connector for NetSuite Analytics Warehouse. In simple terms, it's a secure bridge that allows external AI tools—such as Claude, among others—to access your company's data within NetSuite, analyze it, combine it with external information (such as social media or market reports), and generate much richer insights than a traditional report could provide on its own.

Here's a concrete example: an AI model could take your financial summary, combine it with customer sentiment from social media and recent competitor activity, and return not another table, but a business explanation ready to present to a board of directors.

This opens the door to integrations that previously required much more expensive custom development, and it's exactly the kind of project we're already working on at Deimos Solutions with clients who want to go beyond traditional reporting.

Integrating Systems Without the Headaches

NetSuite 2026.1 also strengthens its integration platform (iPaaS) with more prebuilt adapters for connecting NetSuite with CRM, e-commerce, HR, and other business tools—all from a centralized dashboard, with real-time synchronization and less reliance on custom development.

For any company using multiple systems (and today, that's almost everyone), this means less manual work duplicating information across platforms and fewer human errors caused by copying and pasting data from one system to another.

More Capacity and Fewer Obstacles When Working with Large Data Sets

For teams already working with analytics in NetSuite, this release brings several concrete improvements:

  • Data flows now support up to 5 million rows per source (up from 2 million), reducing the need to split large data loads.
  • Processes for importing multi-value fields have been simplified, reducing the need to write complex SQL queries.
  • New ready-to-use report templates (budget vs. actuals, sales by customer, purchases by item, among others) significantly speed up the setup process for teams that are just starting to use analytics.
  • Deeper Salesforce integration for companies managing their sales data there and wanting to combine it with NetSuite without manual processes.

Why Are We Telling You This If You Don't Use NetSuite?

Because the trend is clear, whether you use NetSuite or any other management system: artificial intelligence is no longer a promise for the future. It is already becoming part of the tools businesses use every day—not as a separate product, but as a layer that interprets and explains the data you already have.

The question is no longer whether your ERP will incorporate AI, but how prepared your company (and your data) is to take advantage of it when it does.

How Deimos Solutions Can Help

Reading the release notes is one thing. Understanding which features are actually useful for your business, how they are enabled, what configuration they require, and what impact they will have on your daily operations is something completely different.

That's what we do every day at Deimos Solutions: we work with companies that use NetSuite—or are considering implementing it—to turn these updates into real business benefits rather than features that nobody ends up using.

If you want to understand which of these capabilities apply to your business, or you simply have questions about how to get more value from your ERP, contact us and let's talk.

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