Amid the relentless innovation taking place among the Cloud Wars Top 10 in the agentic AI space, Oracle has announced a host of new AI agents within Oracle Cloud Fusion Applications designed to supercharge efficiency in the HR sector. These new agents not only enable HR professionals to work more efficiently but also simplify the ongoing performance management process. Additionally, they enhance the employee experience, providing valuable support to employees.
To learn more about what Oracle has been doing in this space and how these new agents fit into the company’s overall agentic AI strategy, I spoke with Yvette Cameron, Senior Vice President of Global HCM Product Strategy and Marketing at Oracle.
What’s New?
“Back in September, we introduced our vision for agentic AI in a press release,” explains Cameron. “We introduced Oracle AI agents as a new way for organizations to achieve productivity and efficiency at scale.
“Then in March of this year, from London, we had a series of press releases, one in which we introduced the AI Agent Studio, which gives customers and partners the ability to create, customize, and extend their own agents.”
Now, Oracle has launched a host of new agents for Oracle Fusion Cloud Human Capital Management (HCM). The pre-built agents cover various areas in HR. For example, in internal mobility and recruiting, the Job Discovery Agent helps an employee accelerate their career by matching them with job opportunities, while the Interview Management Agent automates interview scheduling and management.
In terms of career development, the Learning Tutor Agent is dedicated to skills building, while core HR processes are addressed by agents like the Employee Concierge Agent and the Positions Assistant Agent, for data-driven staffing decisions. Regarding employee lifecycle and payroll, agents like the Employee Lifecycle Policy Analyst Agent provide better visibility and deliver greater efficiency in key employee-focused decision-making.
“It’s important to note that these agents are not just answering questions as the kind of original, generative AI authoring and summarization agents did,” says Cameron. “As we continue to invest [agents] are automating workflows, they’re surfacing insights in real time, and they’re taking action on behalf of users, removing friction and speeding people to completion, not just of tasks, but of entire workflows.”
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Built-In by Design
Mirroring Oracle’s own strategy to embed AI across its tech stack, Oracle’s agentic AI approach in Fusion apps follows this embedded trajectory. This makes it much easier for customers to adopt agentic AI and quickly benefit from the capabilities on offer.
“They’re embedded directly within our Oracle Fusion Applications, and they run on the same Oracle Cloud Infrastructure that powers our Fusion Cloud Applications,” says Cameron. “That means that these agents have the same data privacy, the same advanced security and the same performance guarantees that our customers have come to expect from our Fusion apps, so customers can start realizing value right away.
“It takes moments to turn them on, because they’re delivered in our applications, oftentimes within the flow of work, there’s no additional cost, so that cost friction is removed, and all of that while ensuring that this AI, again, is secure and safe and on their unified data structures.”
“From an adoption perspective, that embedded strategy is critical,” continues Cameron. “It’s not another layer. It’s not another interaction I have to go to. It’s right there within the flow of work. “
Closing Thoughts
I recently discussed the importance of clarity in complex operating environments, specifically highlighting Microsoft’s decision to rename Copilot and introduce a two-tiered offering. Oracle appears to be leading the way here by emphasizing embedded AI, natural actions, and accessibility, and crucially, eliminating cost barriers and simplifying the integration of new services and capabilities into the IT environment.
And when it comes to trust and proof of concept, Oracle’s customer zero approach is another important differentiator. As Cameron says, “Our customers and partners can use the same environment, the same development tools, the same capabilities that our own developers use to release these agents. So it’s very powerful and important, it’s delivered natively and at no additional cost to all of our customers.”
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