B2B

Enterprise CX leaders adopt no-code/low-code platforms to gain autonomy and control ROI

Jun 24, 2025

Paramark News Desk

Credit: Darlene Alderson (edited)

Key Points

  • Oracle's Michelle Brusyo discusses the shift from experimenting with AI tools to using no-code platforms.

  • Unified platforms that integrate CX, finance, and HR data are becoming essential for businesses to enable cross-departmental AI agent collaboration.



What's exciting is that experimenting with built-in AI pushed CX leaders to think more creatively about what they want AI to do for them, outside the confines of their vendor-provided applications.

Michelle Brusyo

Sr. Director of Product Strategy & Marketing
,
Oracle

The enterprise is flooded with vendor-supplied AI features, but for CX leaders, the real work is architecting the system. It's not about more tools, it's about designing how AI connects across the business.

As Senior Director of Product Strategy and Marketing at Oracle, Michelle Brusyo leads the company's GTM strategy for its AI-powered CX applications. Her work focuses on bringing generative AI and AI agents to life across Oracle’s CX suite and helping enterprises move from hype to execution.

Handing over the keys: Until now, CX leaders have concentrated on experimenting with the AI capabilities baked into their existing software. "What's exciting is that experimenting with built-in AI pushed CX leaders to think more creatively about what they want AI to do for them, outside the confines of their vendor-provided applications," says Brusyo. That freedom allows them to connect dots across the business and envision a world where service AI works with finance or marketing AI informs sales.

The only thing missing has been the right toolkit. "They don’t need to be coders," she adds. "They just need a platform where they can construct these flows themselves." This shift is being powered by a surge in no-code AI platforms, with analysts predicting that 70% of new enterprise applications will leverage these technologies by 2025.

Let humans shine: Viewing AI as a supportive teammate challenges a harsher industry projection: Forrester predicts that generative AI will displace 100,000 agents in 2025. But Brusyo offers a more nuanced take on the "human versus AI" debate. "We're doing this to make our creative human employees more successful and happier in their jobs," she explains. "We apply AI to free up people to do the job that gives them those moments to shine."

That potential is especially clear in marketing, where Brusyo says leaders are the “tip of the spear” for creative vision. Their ideas for using agents are, in her words, "mind-blowing." "Imagine your marketing campaign team having their own group of agents to write email copy and optimize subject lines," she says. "This unlocks the creativity of the team because they're not stuck in the minutia."

We're doing this to make our creative human employees more successful and happier in their jobs. We apply AI to free up people to do the job that gives them those moments to shine.

Michelle Brusyo

Sr. Director of Product Strategy & Marketing
,
Oracle

Cool kids use data: But the new wave of AI design depends on an unglamorous but crucial foundation: data. It’s what separates leaders from laggards, and many are learning that the hard way. Poor data quality remains a top reason AI projects fail. "The companies with cool use cases going live, the ones who are real game-changers, are universally those who started first with assessing their data foundation," Brusyo says. "They flipped the process around and said, 'Let’s get all of our data together in one place first.' Those are the businesses that are much farther ahead."

Under the hood: The real power isn't just in the tools, but in the underlying architecture. The most potent platforms are those where out-of-the-box applications for CX, finance, and HR are built on the same foundation that customers use to co-develop their own solutions. The result is a single ecosystem where all business data—from the front office to the back—is in one place, enabling agents to work across traditional departmental lines. The strategy reflects a broader industry move toward unified platforms, with companies like Microsoft introducing orchestration "foundries" to link AI agents across disconnected systems.

The next smartphone: "I think AI agents will become a core part of how we work, just like your phone became the assistant you carry with you everywhere," she says. The future of work involves a new kind of team member. "We’ll be working alongside our machine coworkers, and it’ll feel as normal as having your phone there to help you do your job." But achieving that new normal means overcoming significant customer skepticism, a final hurdle on the path to ubiquity.

B2B

Enterprise CX leaders adopt no-code/low-code platforms to gain autonomy and control ROI

Jun 24, 2025

Paramark News Desk

Credit: Darlene Alderson (edited)

Key Points

  • Oracle's Michelle Brusyo discusses the shift from experimenting with AI tools to using no-code platforms.

  • Unified platforms that integrate CX, finance, and HR data are becoming essential for businesses to enable cross-departmental AI agent collaboration.



What's exciting is that experimenting with built-in AI pushed CX leaders to think more creatively about what they want AI to do for them, outside the confines of their vendor-provided applications.

Michelle Brusyo

Sr. Director of Product Strategy & Marketing
,
Oracle

The enterprise is flooded with vendor-supplied AI features, but for CX leaders, the real work is architecting the system. It's not about more tools, it's about designing how AI connects across the business.

As Senior Director of Product Strategy and Marketing at Oracle, Michelle Brusyo leads the company's GTM strategy for its AI-powered CX applications. Her work focuses on bringing generative AI and AI agents to life across Oracle’s CX suite and helping enterprises move from hype to execution.

Handing over the keys: Until now, CX leaders have concentrated on experimenting with the AI capabilities baked into their existing software. "What's exciting is that experimenting with built-in AI pushed CX leaders to think more creatively about what they want AI to do for them, outside the confines of their vendor-provided applications," says Brusyo. That freedom allows them to connect dots across the business and envision a world where service AI works with finance or marketing AI informs sales.

The only thing missing has been the right toolkit. "They don’t need to be coders," she adds. "They just need a platform where they can construct these flows themselves." This shift is being powered by a surge in no-code AI platforms, with analysts predicting that 70% of new enterprise applications will leverage these technologies by 2025.

Let humans shine: Viewing AI as a supportive teammate challenges a harsher industry projection: Forrester predicts that generative AI will displace 100,000 agents in 2025. But Brusyo offers a more nuanced take on the "human versus AI" debate. "We're doing this to make our creative human employees more successful and happier in their jobs," she explains. "We apply AI to free up people to do the job that gives them those moments to shine."

That potential is especially clear in marketing, where Brusyo says leaders are the “tip of the spear” for creative vision. Their ideas for using agents are, in her words, "mind-blowing." "Imagine your marketing campaign team having their own group of agents to write email copy and optimize subject lines," she says. "This unlocks the creativity of the team because they're not stuck in the minutia."

We're doing this to make our creative human employees more successful and happier in their jobs. We apply AI to free up people to do the job that gives them those moments to shine.

Michelle Brusyo

Sr. Director of Product Strategy & Marketing
,
Oracle

Cool kids use data: But the new wave of AI design depends on an unglamorous but crucial foundation: data. It’s what separates leaders from laggards, and many are learning that the hard way. Poor data quality remains a top reason AI projects fail. "The companies with cool use cases going live, the ones who are real game-changers, are universally those who started first with assessing their data foundation," Brusyo says. "They flipped the process around and said, 'Let’s get all of our data together in one place first.' Those are the businesses that are much farther ahead."

Under the hood: The real power isn't just in the tools, but in the underlying architecture. The most potent platforms are those where out-of-the-box applications for CX, finance, and HR are built on the same foundation that customers use to co-develop their own solutions. The result is a single ecosystem where all business data—from the front office to the back—is in one place, enabling agents to work across traditional departmental lines. The strategy reflects a broader industry move toward unified platforms, with companies like Microsoft introducing orchestration "foundries" to link AI agents across disconnected systems.

The next smartphone: "I think AI agents will become a core part of how we work, just like your phone became the assistant you carry with you everywhere," she says. The future of work involves a new kind of team member. "We’ll be working alongside our machine coworkers, and it’ll feel as normal as having your phone there to help you do your job." But achieving that new normal means overcoming significant customer skepticism, a final hurdle on the path to ubiquity.