Mid-Market Technology Trends: SuiteWorld 2026 and Why NetSuite AI Needs an Owner
Welcome to Mid-Market Technology Trends, a roundup of the technology and business developments most relevant to middle-market organizations.
Every issue, we cut through the noise to highlight the developments we believe are most likely to shape technology decisions, along with our perspective on what they mean for middle-market businesses.
Most NetSuite Customers Are Bringing Their Own AI
At its SuiteWorld conference in late October, NetSuite shared a revealing number. About 13,000 of its 44,000 customers already connect outside AI tools like Claude, ChatGPT, and Gemini to their NetSuite data through the company’s AI Connector Service. Only around 2,500 have adopted NetSuite Next, the vendor’s own AI-driven interface built around its Ask Oracle assistant. NetSuite isn’t pushing customers to choose. Executives described supporting both paths. Customers can work inside NetSuite for ERP-heavy tasks, or through an outside AI tool when NetSuite data has to be combined with other sources.
Our Take: Customers are pulling ERP data into the AI tools they already use rather than waiting for a vendor-built experience. That changes what the ERP needs to be good at. It becomes the system of record, the single trusted source that every AI tool reads from. In practice, that means user roles and permissions decide what AI can see and do. Organizations connecting AI to their ERP should review those roles first, because an assistant inherits every access gap that already exists.
Are Your Power Platform Apps Still Counting on Credits That No Longer Exist?
As of November 1, Microsoft stopped including AI Builder credits with premium Power Apps, Power Automate, and Dynamics 365 licenses, and retired the AI Builder capacity add-ons. AI Builder powers features like document processing and text recognition inside apps and automated workflows. Those features still work, but they now draw on Copilot Credits, which are purchased separately. Existing credits don’t convert. Some older contracts and active add-ons carry credits until those agreements end. Once no credits of either kind are available, the AI step simply stops running.
Our Take: This is a quiet budget event. Many organizations won’t notice it until an invoice-scanning flow built years ago stops working. It also fits a larger pattern. Microsoft is steadily moving AI from bundled features to metered consumption, and usage-based billing becomes the default for new Copilot Business licenses on December 1. Someone needs to know which workflows depend on AI capacity, and who is watching what they cost.
Only 28% of Mid-Market Companies Say AI Is Delivering Strong Value
A new survey of 484 director-level and above leaders at U.S. and Canadian companies with 100 to 999 employees found that 97% have adopted AI and 92% are still increasing spend. Only 28% describe AI as extremely valuable to their business. The clearest dividing line was ownership. 45% have no single person responsible for how people and AI work together, and only 21% have someone for whom it’s the main job. Companies with a clear owner were 2.5 times as likely to report strong value. Companies investing only in technology reached that level 6% of the time, compared with 50% for those that also invested in programs and people.
Our Take: The survey shows association, not cause, but the pattern matches what we see in practice. AI tends to stall in the space between departments, where no one has decided how work should be divided or who catches the mistakes. That’s an operating decision, not a software decision. Naming an owner usually costs less than another round of tools, and it’s more likely to change the outcome.
NetSuite Wants ERP Implementations Measured in Weeks, Not Months
NetSuite also introduced SuiteExpress, an AI-assisted approach to implementing and maintaining its ERP. It builds a knowledge base from a customer’s meeting notes, documents, spreadsheets, recordings, and existing system data. It then combines that with NetSuite’s own product and industry knowledge to recommend configuration, prepare data for migration, and support testing. Implementation consultants oversee the work. NetSuite claims implementation time can drop to weeks, or even days. For now, SuiteExpress is available to software-industry customers in North America, with other industries and regions planned for 2027.
Our Take: Long timelines have kept plenty of companies on systems they’ve outgrown. If AI shortens the configuration work, the bottleneck shifts to how well a business can describe its own processes, approvals, and exceptions. Tools like this reward organizations that already understand how they operate. They don’t replace the decisions about how the business should run.
Private Equity Is Back to Buying in Volume
U.S. middle-market private equity deal count rose 24.1% from the second quarter to the third, topping 1,000 deals in a quarter for the first time since early 2024. Deal value rose only 2.5% over the same period, a sign that buyers are favoring smaller, more manageable transactions. Middle-market deal activity is on pace for its second-best year on record by count, behind only 2021. Middle-market funds have raised $108.6 billion so far this year, and the average fund size has climbed above $1 billion.
Our Take: More, smaller deals usually means more add-on acquisitions, where a smaller company is bought and folded into an existing one. Each brings its own ERP, CRM, and reporting environment that has to be integrated after the deal closes. For owners, buyer demand is real. For acquirers, the integration plan deserves as much attention as the purchase price, because that’s where much of the expected value is either captured or lost.
What This Means for the Middle Market
Across ERP, licensing, workforce research, implementation, and dealmaking, this issue points to one pattern. Access keeps getting easier. Companies can connect the AI tools they already use to their ERP, stand up new systems faster, and complete acquisitions at a quicker pace.
What’s getting harder is everything that has to be owned afterward. That includes the permissions AI inherits, the credits it consumes, the division of work between people and AI, and the systems that arrive with each acquisition. The companies getting real value aren’t the ones with the most AI. They’re the ones that decided who owns it.
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