Karah brings over 15 years of experience in B2B software and ERP, including a decade focused on NetSuite and Acumatica solutions within the VAR ecosystem. She helps organizations solve complex business challenges by aligning technology with practical, efficient outcomes across ERP and commerce envir...
By: Karah Finan Oct 27, 2026
Less time searching for answers. Fewer manual steps between identifying a problem and fixing it. More ways to put your NetSuite data to work. That was the direction of the SuiteWorld 2026 opening keynote, where NetSuite introduced a wave of AI capabilities designed to change how businesses manage their daily operations.
From conversational dashboards and industry-specific agents to a new implementation approach, the announcements reached well beyond reporting. NetSuite showed how AI could help teams build workflows, investigate financial changes, coordinate business processes, and act on recommendations—with people reviewing the decisions along the way.
For businesses using NetSuite or considering a move, there was plenty to take in. Here are the biggest product announcements from day 1 and day 2 and what to know as you plan your next steps.
SuiteWorld 2026 focused on bringing AI deeper into NetSuite, helping businesses move from analyzing data to taking action. Here are the biggest takeaways from this year’s keynotes:
The big takeaway: NetSuite is moving beyond AI that simply answers questions toward AI that helps teams understand problems, recommend next steps, and carry out work with appropriate human review. Some capabilities are available now, while others are still upcoming or in preview.
Last year, NetSuite introduced its vision for NetSuite Next. This year’s keynote focused on putting it to work.
NetSuite announced that NetSuite Next is live for customers in the United States and Canada, with customers in the United Kingdom and Australia beginning to use it in preview. At the center is Ask Oracle, the AI assistant that lets users work with NetSuite through conversation.
Need to create a record, build a saved search, or understand a change in business performance? Ask Oracle gives users a way to start with a question or request and work through the next steps within NetSuite.
Adoption can happen gradually. According to the keynote, administrators can enable Ask Oracle in an existing NetSuite instance or introduce NetSuite Next by role or individual user, without a reimplementation. That gives businesses room to start with a few practical use cases and expand as their teams gain experience.
NetSuite also previewed Ask Oracle Predictions, which will use historical business data to forecast future outcomes. A demonstration showed a six-month sales revenue forecast that accounted for historical trends and seasonal patterns, including a range of potential results. The capability was described as coming soon.
Alongside AI built into NetSuite, the keynote highlighted continued investment in connecting NetSuite to the AI tools businesses already use.
The AI Connector Service provides that connection. Newly announced SuiteSkills adds guidance on how to approach the business processes behind the data.
NetSuite highlighted more than 45 skills across finance, operations, sales, projects, and other functions. These skills help AI handle requests such as prioritizing overdue receivables, identifying reconciliation work, reviewing pipeline gaps, and flagging project risks.
For users, that could mean less time explaining a process before getting a useful answer. A controller could ask which accounts to reconcile first, while an operations manager could investigate delayed orders and the inventory issues behind them.
SuiteSkills also supports approved actions within the user’s permissions, extending the experience from analysis into the next step of the work.
The keynote’s dashboard announcements offered a clear example of how this experience could fit into a typical workday.
AI Portlets, described as available to NetSuite Next users now, let users create dashboard views by telling Ask Oracle what they want to see. Those views draw on business data and can be adjusted directly in the interface.
A finance leader, for example, could save a revenue and margin analysis to a dashboard for ongoing visibility. An inventory manager could build a view around stock levels, demand, and working capital exposure.
NetSuite then previewed AI Workspaces, which bring the information, tasks, agents, and approvals for an entire process into one place. In an inventory demonstration, users could review recommendations, examine the supporting evidence, assign follow-up work, and approve actions from the same workspace.
The upcoming AI Workspace Builder will let businesses create their own workspaces by describing the outcome they want. Ask Oracle then proposes a plan, including the relevant views, agents, skills, and measures of success, for review.
Together, these tools point toward a more flexible way to work in NetSuite: dashboards that answer your questions and workspaces that help you manage what happens next.
Some of the most detailed demonstrations focused on industry-specific AI agents, with workflows built around the challenges different businesses face.
For subscription companies, NetSuite showed how an agent could identify at-risk renewals, spot patterns across customer groups, and prepare a retention plan with assigned owners and outreach for approval.
Construction received an extended demonstration covering the process from an awarded bid through billing and payment. NetSuite showed how Ask Oracle and agents could extract information from bid documents, help create a contract, track schedules of values and change orders, and generate payment applications in AIA format.
The construction workflow also included retainage calculations, earned value versus billing visibility, and ongoing work-in-progress reporting—areas that often require significant spreadsheet work.
Other examples included agents that could:
Across the demonstrations, NetSuite emphasized recommendations backed by business data, with approvals and permissions controlling the actions that follow.
Another major announcement was the evolution of NetSuite Analytics Warehouse into NetSuite Data Intelligence.
The new name reflects a broader role: bringing NetSuite data, information from other applications, and business context together to help teams investigate performance.
The keynote highlighted easier third-party data integration, prejoined financial datasets, the ability to transfer saved searches and datasets, intelligent alerts, and deeper AI analysis.
A new NetSuite Data Intelligence Agent, announced to begin arriving in November, will bring those capabilities into Ask Oracle.
In one demonstration, a CFO investigated declining gross margin by combining NetSuite financials with marketing campaign information and an internal discount policy. The analysis connected overlapping discounts to lower margins and identified orders that exceeded the policy limit without a corresponding approval.
That example showed how the offering could help finance teams move from seeing a change in a report to understanding what caused it and which transactions need attention.
NetSuite also previewed Ask Oracle Connectors, which will bring information from the web and other business applications into Ask Oracle. Demonstrations included researching a prospect’s website and comparing NetSuite sales activity with a marketing plan stored in SharePoint.
The announcements also addressed how businesses get started with NetSuite.
Suite Express is a new implementation toolset and methodology that uses AI agents to support discovery, configuration, data migration, and testing.
It brings together NetSuite’s product and industry knowledge with information about the customer’s business. Meeting notes, documents, spreadsheets, recordings, and existing system data help create a customer knowledge base that supports the implementation.
The goal is to reduce repeated discovery and manual preparation while keeping customers and consultants responsible for the business decisions.
That knowledge is also intended to remain useful after go-live. When a business adds a subsidiary, enters a new market, or expands its use of NetSuite, Suite Express can build on what the implementation team has already learned.
For companies at a much earlier stage, NetSuite highlighted QuickStart, a recently launched offering designed for technology startups.
QuickStart uses AI-assisted setup and financial operations capabilities to reduce the administrative work founders need to manage. The keynote described an experience that handles more work in the background and brings issues to the founder when judgment or action is needed.
NetSuite presented QuickStart as a free offering with a built-in path to move to NetSuite as the company grows.
The keynote also brought several finance and workflow capabilities together under NetSuite’s vision for an autonomous suite.
The SuiteFlow Agent demonstration showed users describing an approval process in Ask Oracle, reviewing the proposed workflow, and approving its creation. Users could then inspect and release the workflow when ready.
An Autonomous Close workspace brought close progress, task ownership, exceptions, and agent activity into a shared view. Approvals were recorded in an action history showing who approved the work and which agent carried it out.
NetSuite also demonstrated lease accounting workflows, including creating a lease record from an agreement and processing an extension with updated schedules, accounting impacts, and preserved history.
These demonstrations showed how NetSuite plans to connect more of the work around the close, giving finance teams clearer visibility into what needs attention and a more direct way to address it.
What does NetSuite’s AI direction look like during an actual workday? Day 2 of SuiteWorld brought that question into focus, with demonstrations covering everything from creating purchase orders and building agents to reconciling accounts and resolving inventory issues.
Following Day 1’s major announcements, the product keynote took a closer look at how those capabilities work together. The emphasis was practical: finding the information you need, understanding what needs attention, and completing the next step within NetSuite.
The speakers also made a point of describing the capabilities demonstrated during the session as available today. For businesses evaluating NetSuite Next, the keynote offered a useful look at where to begin and how to expand from simple questions into more automated processes.
Here are the biggest product highlights from Day 2.
Ask Oracle took center stage again, this time with a deeper look at how it supports analysis and decision-making.
The demonstrations started with a familiar finance question: how does this fiscal year’s net income compare with last year? Ask Oracle returned an answer along with the report, scope, and assumptions used in the analysis. Users could open the underlying income statement directly from the conversation, with the same parameters applied to verify the result.
The session then moved into a more involved example: reviewing whether the business could support a proposed increase in marketing spend.
After a proposal was uploaded as a PDF, Ask Oracle extracted the relevant information and evaluated it against NetSuite business data. It presented the findings in an AI Canvas, including charts, supporting information, and considerations for the decision. A follow-up question compared the proposal’s projected sales with actual sales order volume.
For teams accustomed to moving between reports, spreadsheets, and supporting documents, the demonstration showed how more of that analysis can happen in one place.
Ask Oracle also provides suggested prompts based on the page or record a user is viewing, giving people a starting point without requiring them to build a detailed prompt from scratch.
One of the most useful capabilities shown was draft records, which allow Ask Oracle and agents to prepare transactions for review before submission.
In one example, a user uploaded a vendor quote and asked Ask Oracle to create a purchase order. Ask Oracle prepared a draft PO that the user could open, inspect, and submit after checking the details.
The same approach worked from a written request without an attached document. When more than one vendor supplied the requested item, Ask Oracle asked the user to make a selection.
Later in the keynote, NetSuite demonstrated creating a draft sales order from a customer’s purchase order. Ask Oracle extracted the customer, items, quantities, and other information, matched it to NetSuite records, and prepared the order using current pricing and availability.
The customer document and draft sales order appeared side by side for review.
Across these examples, NetSuite emphasized that existing customizations, approval workflows, SuiteScripts, and business rules continue to apply. AI prepares the work, while users retain a clear opportunity to check it before moving forward.
Day 1 introduced AI Portlets. Day 2 showed how users can configure them around a recurring business question.
In the marketing example, the user added an AI Portlet to the dashboard and described the desired view: actual sales order volume compared with the proposal’s projections. The portlet generated the analysis and highlighted where performance fell short.
Users can also add supporting context, skills, agents, or documents from their knowledge base.
That flexibility carried into the finance and operations demonstrations. Portlets surfaced close progress, project risks, and inventory concerns, helping users move from an overview into a more detailed conversation with Ask Oracle.
The result is a dashboard that can help interpret what is happening and point users toward the work that needs attention.
The keynote also explored how businesses can tailor Ask Oracle through skills.
Skills describe the context, rules, and steps for a particular task, so users do not have to explain the process in every conversation. They can be created by administrators and business users and shared across teams.
A new-hire equipment example made the concept easy to follow. From an employee record, a user asked whether the business had everything the new hire needed for their first day.
Ask Oracle used a skill containing the equipment requirements for different roles, checked inventory, and identified which items needed to be purchased. The skill also supported preparing a purchase order for missing equipment.
For more advanced use cases, skills can include custom tools that support specific actions. This gives businesses a way to build their own processes into the experience while maintaining permissions and controls.
Once a process is defined, the next step may be having it run automatically.
SuiteAgent Studio lets users build agents through a conversation with Ask Oracle, then review and refine their configuration.
The keynote continued the new-hire equipment example by turning the skill into an agent that checks for upcoming hires and prepares the required purchasing work. Ask Oracle proposed the agent, identified the existing skill it could use, and presented the configuration for review.
Within the studio, the user could adjust the instructions, change the schedule, and select the role under which the agent would run.
NetSuite also demonstrated the SuiteAgent Management Workspace, where administrators can activate or deactivate agents, review activity, inspect permissions, and investigate issues.
The controls were a major part of the presentation:
For developers, NetSuite highlighted support through the SuiteCloud Development Framework, packaging agents as SuiteApps, and using the SuiteCloud Developer Assistant to help write, understand, and improve customizations.
Finance received one of the most substantial demonstrations of the day, centered on handling close-related work throughout the accounting period.
The Intelligent Close Workspace brought tasks performed by people and agents into a shared view, with default AI Portlets for close outlook and close progress.
The demonstration began with uploading an existing close plan from Excel. Ask Oracle mapped it to system tasks and capabilities, added missing tasks, assigned owners, established timing, and mapped dependencies. The plan could then become a reusable template for future periods.
NetSuite also showed a new bank reconciliation experience, with agents matching transactions as they appeared in the bank feed and surfacing exceptions for review. When a transaction had more than one possible match, the user could inspect the options and choose the appropriate one.
The session extended reconciliation across balance sheet accounts, with ownership, sign-off, and an audit trail. In the accounts receivable example, Ask Oracle identified likely reconciling items and drafted an explanation for the preparer to confirm.
Exception management, variance analysis, and balance sheet and cash flow insights completed the demonstration. Together, the capabilities showed how teams could spend more of the month resolving issues as they arise and arrive at period-end with more of the work already complete.
The operations portion of the keynote showed how the same tools apply beyond finance.
For services businesses, a Project Portfolio AI Portlet and project intelligence skills reviewed project information and prioritized risks. In the demonstration, Ask Oracle identified an overallocated solution architect whose overlapping assignments could delay a milestone.
It then recommended alternatives based on skills, current assignments, and margin impact. After the user approved a replacement, Ask Oracle updated the resource assignment and the dashboard reflected the resolved risk.
For product businesses, an Inventory Optimization Agent monitored signals such as slowing sales, declining inventory turns, and increasing inventory value.
The demonstration identified excess stock and presented options for addressing it. Those included consignment, drop shipping, and a markdown plan to liquidate aging inventory.
NetSuite connected the recommendation to consignment and advanced pricing functionality released earlier in the year. After approval, the system prepared a pricing rule for review and saving.
These examples showed how agents can help connect the steps between spotting an issue, evaluating options, and making an approved change.
NetSuite also revisited Intelligent Payment Automation with BILL, launched at the previous SuiteWorld, which supports vendor payments within NetSuite alongside approval routing, payment tracking, and automatic general ledger posting.
During the keynote, NetSuite announced an offer for customers who install Intelligent Payment Automation and purchase Bill Capture:
Customers were directed to their account managers or the BILL team for the offer details and eligibility.
For NetSuite customers, the best starting point is a process your team already knows needs improvement. Collections, inventory exceptions, reporting, and close coordination all featured prominently in the keynote because they involve recurring work where better context and fewer manual steps can help.
From there, the next step is understanding which capabilities are available for your account and how they fit your data, workflows, and approval requirements. Some features are available now, while others were previewed as upcoming.
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