Oracle NetSuite’s SuiteWorld 2025 in Las Vegas opened with a slogan built for a keynote stage: “No Limits.” But strip away the staging and the roughly 8,000 attendees packed into the venue, and what emerged from three days of product reveals and executive interviews was a more measured story — one about data plumbing, conversational interfaces, and the uneven pace of digital adoption across emerging markets, including Southeast Asia.
e27 sat down with NetSuite Founder and Executive Vice President Evan Goldberg and Asia Head Amit Suxena on the sidelines of the conference. Between the two conversations and the keynote itself, three themes stood out, each with implications for founders and operators far beyond Las Vegas.
Learning one: AI is only as good as the data beneath it
The loudest applause line of Goldberg’s keynote wasn’t about a flashy new feature. It was a claim about architecture. NetSuite, he argued, was built 27 years ago around transactions — sales, orders, payments — rather than accounting entries after the fact.
Also Read: ChatGPT, commerce, and cloud: How NetSuite sees the future of work and business
“Transactions are the atomic unit of business,” Goldberg said, describing why this matters for AI. “AI doesn’t just guess; it starts from the source because your data is unified. AI understands your full context… it sees deep into your business, not just the surface.”
This is a subtler argument than it first appears. The enterprise software industry has spent the past two years bolting AI copilots onto existing systems. NetSuite’s pitch is that a copilot is only as useful as the data model sitting underneath it — and if that data lives in silos, spreadsheets, and reconciled-after-the-fact ledgers, AI is reduced to generating plausible-sounding guesses rather than grounded answers.
That’s the reasoning behind Ask Oracle, NetSuite’s conversational layer, which the company describes less as a chatbot and more as a connective tissue across a single data model. Responses come with drill-downs linking every number back to its source transaction, and “EXPLAIN” traces that show how an answer was derived, an attempt to make AI outputs auditable rather than opaque.
Suxena framed the shift in terms of what a finance leader can now do without touching a spreadsheet. “If you’re a CFO today, you no longer need to dig through ledgers or reconcile spreadsheets manually. You can simply ask, ‘where are my profits coming from?’, and the system gives you an intelligent, data-driven answer,” he said. “We’re moving from finance tools to business intelligence partners, from procurement systems to decision-support systems.”
The caveat, which both executives were careful to underline, is that none of this replaces judgement. “AI should never replace human judgment; it should augment it,” Suxena said. “AI tells you what’s happening and what could happen, but the why and what to do about it are still human calls.”
Learning two: Commerce is going conversational and nobody has fully worked out what that means for brands
The second theme to emerge was more speculative, and Goldberg was refreshingly candid about the uncertainty. Asked about e-commerce integration with ChatGPT, a feature NetSuite previewed during the keynote, he didn’t offer a tidy roadmap.
“No one has a clear answer to this question yet,” he admitted. “What’s clear is that commerce is moving into conversational interfaces.” He pointed to OpenAI’s “agentic commerce” push, which lets users complete purchases directly inside a chat window, as an early signal of where retail interactions might be heading.
Also Read: ‘AI sees deep into your business, not just the surface’: NetSuite’s Evan Goldberg
NetSuite is working with partners including Shopify to plug order flows into this emerging channel, but Goldberg was upfront about the tensions this creates. If a purchase happens entirely within a chatbot, how does a brand preserve its identity when the storefront — the visual language, the tone, the merchandising — is stripped out of the transaction? How does a smaller retailer differentiate itself when SEO and a distinctive website may carry less weight than they once did?
Goldberg brought the question home with a personal example: his wife runs a small business on NetSuite, and her chief worry mirrors the industry’s broader anxiety. “Her biggest concern is exactly that: ensuring her brand’s personality still comes through in how products are presented,” he said.
His answer, unsurprisingly, circles back to infrastructure rather than storefronts. Regardless of whether a sale originates in a browser or a chatbot, someone still has to manage inventory, coordinate shipping, and maintain real-time visibility across the order lifecycle. That backend discipline, he argued, is what will matter most as the front end of commerce keeps shifting.
Learning three: In SEA, the opportunity is timing, not budget
The third and most regionally relevant theme came from Suxena, who has spent years working with small and mid-sized businesses across the Philippines, Indonesia, and India. His observation cuts against a common assumption in enterprise software circles — that AI and cloud adoption in emerging Asian markets is primarily a cost or infrastructure problem.
“Many SMEs are still unsure where to start,” Suxena said. “They often ask, ‘Where should I use AI? I’m not in the business of technology.’ Our job is to take that uncertainty away.”
The bigger structural issue, in his view, is that founders treat digitalisation as a reward for reaching scale rather than a precondition for it. “Startups often make what I call ‘milestone decisions’ about digitalisation,” he explained. “They say, ‘When we hit 100 people, we’ll get an HR system,’ or ‘When we reach 500 customers, we’ll implement CRM.’ That’s backward.”
His advice, delivered without much room for nuance, was to digitalise from day one, not because scale demands it eventually, but because early automation compounds. “It’s not about when you reach those milestones; it’s about how fast you get there,” he said. “Waiting until you’re big enough often means you’re already struggling with inefficiency.”
Also Read: OpenAI calls for ‘AI infrastructure revolution’ to reboot Japan’s growth
Suxena also pointed to a geographic gap that’s easy to miss from Singapore or Jakarta, where SaaS adoption is now mainstream. The real headroom, he argued, sits in tier-two and tier-three cities across the region, where business owners are increasingly digital-native but haven’t yet been offered tools that are both accessible and affordably priced. “We’re seeing a democratisation of technology,” he said. “Cloud and AI are no longer just enterprise tools; they’re becoming everyday business essentials for the corner retailer, the logistics startup, the family-owned manufacturing firm.”
The common thread
Strip away the keynote choreography and NetSuite’s pitch at SuiteWorld 2025 rests on a fairly unglamorous premise: AI’s value is bounded by the quality and unity of the data it’s built on, whether that data sits inside a Las Vegas-built ERP system or a family manufacturing business in provincial Indonesia. The interfaces will keep evolving — conversational, agentic, embedded inside chat windows nobody had heard of two years ago. But for founders in Southeast Asia weighing when and how to invest in automation, the more durable lesson from this year’s SuiteWorld may simply be: start earlier than feels comfortable, and get the underlying data right before chasing the next AI feature.
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