Oracle Expands Its AI Agents for Marketing, Sales, and CS Teams | MarTech

Oracle today announced more role-based AI agents for revenue teams using Oracle Fusion Cloud Applications. The new agents are embedded into marketing, sales and service processes to provide visibility into unified data, help automate processes and deliver predictive insights.

Like the previous crop of AI agents that Oracle announced in October 2025, the latest release includes agents for marketing, sales, and customer success professionals. The agents are pre-built and integrated into Oracle Fusion Applications at no additional cost.

While it’s easy for marketing teams to feel overwhelmed by the number of AI tools hitting the market, Oracle advises its customers to take a step-by-step approach, said Rob Pinkerton, SVP at Oracle.

“What we tell our customers is to think big, start small and act fast,” Pinkerton told MarTech. “If you think big about what AI means, it means that marketers will be able to do many more things in practice. They will spend more time on things like thinking big thoughts, collaborating, dealing with exceptions, looking for patterns… much more of the creative aspects of marketing than the hard, operational, complicated work they have to do now.”

While the AI ​​messages may seem overwhelming, Pinkerton sees the situation as similar to what marketers faced when choosing martech applications from an ecosystem that has grown into the thousands. When these applications entered marketing technology, the work didn’t stop.

“There’s a lot of work marketers have to do now,” says Pinkerton. “In some organizations they are more like IT professionals.”

Dig Deeper: How Agentic AI is Changing the Future of Marketing

AI agents expose organizational data silos

Where Oracle stakes its claim in agentic AI is in its ability to unleash its agents into Oracle applications that extend beyond the martech stack and into the Oracle applications used by financial, operations, and service organizations. For marketers, this means more insights.

Pinkerton said too much valuable information sits in silos where marketers can’t see it. That includes details about the purchasing cycles customers have gone through, their service record, implementation details, customer support and service levels, order management, equipment maintenance and more.

“And the thing is, what a lot of these agents are doing is they’re not reducing the silos, they’re exposing them,” Pinkerton said.

This type of information becomes more valuable to marketers who understand that there is a significant shift happening in marketing.

“The battleground for marketers has shifted, and some have realized it and some haven’t,” Pinkerton said. “The task is no longer to find prospects online, that has been the task for fifteen years.

Now that digital channels have been thoroughly selected, Pinkerton says marketers need to shift their focus from unknown prospects online to known customers and use those insights to grow the business.

“If they’re going to move in that direction, they need more information within the enterprise about their own customers so they can create better campaigns, better messaging and better strategies, and they need that data.”

Dig deeper: why agentic AI is different from traditional marketing automation

Oracle’s newest AI agents

The new AI agents within Oracle Fusion Cloud Customer Experience (CX) include:

Marketing agents

• Program Planning Agent, allowing marketers to plan, launch and optimize cross-sell and up-sell programs. This agent defines the goals, audience, and core stories for a campaign.

• Program short Agentallowing marketers to bring clarity and alignment between product, marketing and sales teams for more effective campaign execution.

• Program orchestration agent, which one helps marketers streamline the integration of campaign stories and tactics into marketing materials.

• Buying Group Agent, which allows marketers to target purchasing groups more efficiently.

• Customer Insights Agentthat allows marketers to gain a deeper understanding of a customer.

• Audience analysis agentwhat helps marketers focus their resources on high-potential opportunities and maximize ROI.

• Copywriting agentallowing marketers to streamline campaign execution by reducing manual efforts, shortening campaign timelines and ensuring message consistency.

• Image picker agentallowing marketers to improve asset selection and ensure alignment with brand and campaign objectives.

Sales agents

• Contact Insights agentallowing sellers to prioritize outreach and build stronger relationships.

• Quotation generator agentthat helps sellers put together quotes faster.

• Renewal Agentallowing sellers to be more proactive with renewals and reduce manual efforts.

• My territory agent helps sellers assess risks and expansion opportunities in their territory.

Service agents

• Start-of-day agentthat can help field technicians improve first-time repair rates.

• Work order scheduling agentallowing field service organizations to streamline field work order scheduling to reduce delays and improve on-time service.

• AI agent for customer self-serviceallowing customers to quickly find answers to their questions or requests.

• Attachment processing agentallowing service representatives to streamline the triage and resolution of customer requests.

In addition to the new AI agents, Oracle also introduced AI Agent Studio for Fusion Applications, a comprehensive platform for building, testing and deploying AI agents and agent teams across the enterprise.