NetSuite Next: The Future of AI Agents in ERP

# NetSuite Next: The Future of AI Agents in ERP

NetSuite is betting its entire platform on AI agents — and moving faster than most customers realize. At SuiteConnect NYC on February 11, 2026, Oracle NetSuite unveiled a wave of AI-powered capabilities that signal a fundamental shift from passive record-keeping to autonomous business operations. With innovations like EPM Planning Agents, Reconciliation Agents, an Intelligent Close Manager, and a free Model Context Protocol (MCP) integration that allows Claude or ChatGPT to connect directly to your ERP, NetSuite is building what founder Evan Goldberg calls "the jet engine" of enterprise AI — not just a copilot, but the propulsion system itself.

The broader market is moving in the same direction: Gartner predicts that 40% of enterprise applications will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025. Additionally, the agentic AI market is projected to grow from roughly $8 billion to over $50 billion by 2030. For NetSuite partners and customers, the question is no longer whether AI agents will reshape ERP — it's about how quickly they can operationalize them.

What Oracle Announced at SuiteConnect NYC and Why It Matters

SuiteConnect NYC, held on February 11, 2026, coincided with the NetSuite 2026.1 release, delivering the most significant batch of AI features in the platform's history. Production rollouts began mid-February and will continue through April 2026. The marquee announcements span finance, operations, and developer tooling.

1. In Finance and Close Management: NetSuite introduced the Intelligent Close Manager — an AI-powered dashboard that continuously evaluates transaction activity, flags missing entries, highlights unusual balances, and surfaces emerging risks throughout the period rather than at month-end. This reflects the "Autonomous Close" vision first previewed at SuiteWorld 2025, where Oracle reported up to 98% of transactions processed touchlessly during internal testing. Goldberg stated, "Instead of forcing teams to hunt for context, the system understands it for them."

1. In Enterprise Performance Management: Two new AI agents were introduced. The EPM Planning Agent enables real-time FP&A trend and variance analysis through natural language, including what-if simulations on cross-business data. The EPM Reconciliation Agent employs an AI-driven matching engine trained on historical data to automatically clear transactions, allowing continuous in-quarter reconciliation.

1. For Bank Reconciliation: Generative AI now extracts richer, more structured data from bank transactions, bolstering the auto-match engine and significantly reducing manual intervention. This capability works alongside expanded Cash 360 features, which include flexible scheduled bank feed imports and on-demand refresh.

1. On Pricing: An AI agent was demonstrated that scans competitor websites for price changes, sets temporary price-match rules, and reports back on effectiveness. Goldberg described it as "like this incredible co-worker that never sleeps." AI-generated narrative pricing summaries aggregate inventory levels, costs, and historical trends for data-driven decisions.

All these features are now globally available (with English-language AI narratives expanding to other languages soon), and importantly, AI capabilities are included at no additional license cost — a pricing strategy that puts significant competitive pressure on rivals charging consumption-based premiums.

The MCP Integration that Opens NetSuite to Any AI

Perhaps the most architecturally significant development is the NetSuite AI Connector Service, a protocol-driven integration layer built on the open Model Context Protocol (MCP). This allows any MCP-compliant AI client — Claude, ChatGPT, or custom-built applications — to securely connect to NetSuite data and operations.

• Architecture: NetSuite serves as the MCP server, exposing a REST endpoint under the SuiteTalk API domain. Communication uses JSON-RPC 2.0 over streamable HTTP and is authenticated via OAuth 2.0 with PKCE. Each request respects NetSuite's existing role-based permissions, is fully logged, and maintains an audit trail.

• Standard Tools: The MCP Standard Tools SuiteApp, available since September 30, 2025, provides 11 pre-built tools in four categories: record operations, report tools, saved search tools, and SuiteQL tools.

• Developer Support: Developers can create bespoke MCP tools packaged as SuiteApps, with Oracle providing code samples and extensive documentation. There has been a positive response from the open-source community, with at least seven third-party MCP server implementations appearing on GitHub.

The strategic significance of this is the "bring your own AI" model — NetSuite is not locking customers into a single AI vendor. Instead, it provides governed access to business data through a protocol standard that any AI system can use while maintaining enterprise security controls.

Goldberg's Vision: Autopilot, Not Copilot

Evan Goldberg has been clear about the direction NetSuite is headed. At SuiteWorld 2025, he stated, "This solution is not a copilot. It's the jet engine." He emphasized that AI is not an add-on but is included in the core product at no additional cost: "We're going in with this notion that we're going to open the system for all users to use AI."

The autonomous ERP vision is focused on transitioning from a system of record to a system of understanding and action. Goldberg draws a parallel to the early days of cloud technology, noting that just as cloud services improved operations without disruption, AI will similarly enhance how businesses operate.

• NetSuite's AI agents are defined as role-bound digital workers with specific instructions and permissions, rather than generic chatbots. This allows for tailored responses based on the unique roles and contexts of users.

• The upcoming NetSuite Next — featuring Ask Oracle, AI Canvas, and full agentic workflows — is set to roll out in North America around mid-2026, with global availability following through 2026-2027.

How the Competition is Approaching AI Agents Differently

Every major ERP vendor now has an AI agent strategy, but their approaches reveal fundamentally different philosophies regarding where intelligence should reside and who should pay for it.

1. SAP: Leads on breadth with 15+ named Joule Agents and over 400 embedded AI use cases. However, SAP charges for premium AI through a complex consumption model.

1. Microsoft: Leverages a strong ecosystem play with Copilot across Microsoft 365, Dynamics 365, Azure, and the Power Platform, but charges per user for add-ons.

1. Workday: Focuses on governance with an "Agent System of Record" concept, managing both human and digital workers on the same platform.

1. NetSuite's Differentiation: Stands out with simplicity, free inclusion of AI, and a rearchitected core experience around AI.

Notably, MCP adoption is becoming universal across vendors, facilitating agent interoperability.

The Market Data Tells a Story of Ambition Outrunning Execution

The statistics reveal an industry in rapid transition, where ambition often surpasses execution.

• Demand: Gartner projects that 62% of cloud ERP spending will be on AI-enabled solutions by 2027, a significant increase from just 14% in 2024.

• Execution Gap: Only 23% of organizations have scaled an agentic AI system in any business function, and reports indicate that 56% of CEOs see no benefits from AI.

The takeaway for NetSuite customers is clear: early, thoughtful adoption can create a competitive advantage. Organizations investing in data quality and governance will be better positioned as this technology matures.

What Practitioners are Actually Doing with NetSuite AI Today

The community's reaction to NetSuite's AI push is cautiously optimistic. Partners and consultants are excited, but practitioners express measured expectations.

• AP Automation: Leading adoption, with significant improvements in Bill Capture.
• Close Acceleration: A promising area where automation drastically reduces reconciliation time.
• SuiteQL Generation: Developers are creating tools that convert natural language into SuiteQL queries.
• MCP-Powered Custom Agents: Pioneering projects demonstrate innovative use cases.

While there are clear use cases demonstrating ROI, analyst caution remains regarding the consistency of AI capabilities in real-world workloads.

Conclusion

NetSuite's AI agent strategy is more than just marketing; it represents a genuine architectural bet. The combination of embedded intelligence, zero incremental cost, and openness to external AI systems positions NetSuite uniquely in the mid-market.

The most significant development to watch is NetSuite Next's North American rollout around mid-2026. Organizations preparing now should focus on:

1. Investing in data quality.
2. Establishing governance frameworks before deploying AI agents.
3. Starting with high-ROI use cases like AP automation.
4. Exploring the MCP integration for external AI tools.

This is not a wait-and-see moment. The window for early adopters to build meaningful operational advantages is narrow. Organizations that treat AI agents as a workflow transformation will capture 3x the value of their peers. With NetSuite's free, embedded approach to AI agents, the question is whether customers are ready to seize this opportunity.