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‘We’ve always been about democratizing technology’: NetSuite CEO tells us why even your most crucial business data can benefit from the AI revolution

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As AI becomes an integral part of workflows across businesses in all industries, ensuring the technology offers genuine gains in efficiency and productivity has become a significant consideration for firms of all sizes.

This is particularly true in financial services, where critical data is analysed and stored most carefully, and the idea of handing such valuable information to an AI could be a cause for concern.

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AI changes

“We’re reinventing NetSuite from the ground up around AI”

Evan Goldberg, CEO and founder of Oracle NetSuite

“Doing things smarter is common across all businesses who are looking to grow,” Tozer notes as we talk at the company’s SuiteConnect London 2026 event, “and having learnt from all of the financial and technological challenges over the last few years, everyone is looking for efficiencies and productivity.”

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In his SuiteConnect London 2026 keynote, Goldberg had floated the idea of NetSuite being an “autopilot rather than copilot” – so I ask him why the company feels this is the right approach to be taking to such a key form of technology.

“(AI has) changed so much, so rapidly,” he says, “so our approach, which has maybe taken a little longer, is to build it deeply into the system, so that we’re reinventing NetSuite from the ground up around AI.”

(Image credit: Oracle NetSuite)

NetSuite is “letting people experience AI without in the places they’re already working without having to do a lot of work to implement that,” Goldberg notes, particularly via its new new AI Connector Service, which will allow customers to bring the likes of Claude to their NetSuite environment in a secure, governed way, while also being able to control how those assistants access and interact with NetSuite data, workflows, and analytics.

“Things are changing very rapidly, how you’re managing across your whole business is changing rapidly, and of course, you want to use AI as much as possible in your business operations,” he adds, “we’re trying to make it a natural extension of how people are already working, so they don’t have to implement AI themselves in their business applications – we’re delivering it to them in the places they’re already working, in a way that’s very easy to adopt.”

Goldberg says he believes NetSuite customers definitely have a leg up on the competition, as his company offers, “not a point solution – it’s more of an all-encompassing business management solution” which sits at the center of a lot of systems and workflows.

“The fact it is all in one system and we have a unified approach and unified data is helpful for AI,” he points out, as these platforms can get confused by multiple inputs and systems – much like human beings.

Having trust in the findings of AI is vital, particularly when it comes to valuable business data, and Goldberg agrees locking this in is crucial to the customer experience.

“Trust exists on a lot of different levels…companies trust us to be strong,” he notes, “this is the nature of AI – just like people, it won’t always give you the right answer every single time – it’s going to continue to get better, and we’re going to guide it with as much knowledge and skill that we can.”

SMB successes

Both Tozer and Goldberg note how SMBs could particularly benefit from AI-assisted tools, as workers in such firms often have to combine several key roles and responsibilities, and where any delay or issues adopting new technologies could lead to being left behind by the competition.

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“We’ve always been about democratizing technology…that’s been the great thing about NetSuite,” Goldberg says, “we’ve always tried to make it easy to adopt, easy to use, and so far that’s worked out really well for us.”

“Things that haven’t been happening for a while are starting to happen again,” Tozer notes, highlighting the recent increase in market investment and more hopeful strategic priorities, “And as those things happen, people grow, and they scale a little faster, and that creates complexity in businesses, and requires more automation, but then requires the insight and agility for customers to be able to do that.”


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