『The Cost of Outcomes and the Future of HR Workflows with Oracle』のカバーアート

The Cost of Outcomes and the Future of HR Workflows with Oracle

The Cost of Outcomes and the Future of HR Workflows with Oracle

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What happens when AI moves beyond simple assistants and starts orchestrating entire business outcomes?

In this episode of 600 Seconds in HR Tech, Stacia Garr sits down with Yvette Cameron, Senior Vice President of Cloud HCM Strategy at Oracle, to discuss Oracle's latest AI innovations, including AI workflows, AI agents, agent teams, and the company's new concept of agentic applications.

The discussion also examines one of the most important emerging topics in HR tech: how organizations will manage AI costs as adoption grows and consumption-based pricing models become more common across the industry.

As Yvette explains: "Agentic apps package the orchestration, the agents, and the enterprise context into outcome-based business experiences."

QUESTIONS ANSWERED
What are the differences between AI workflows, AI agents, agent teams, and agentic applications?
Oracle views these as four connected layers of capability.
  • AI workflows automate business processes and approvals.
  • AI agents perform specific tasks such as creating job descriptions, summarizing feedback, or answering payroll questions.
  • Agent teams coordinate multiple specialized agents to support broader business processes.
  • Agentic applications sit above all of these layers, orchestrating work around business outcomes while surfacing exceptions that require human attention.
Why does human oversight still matter in an AI-enabled workplace?
Both Yvette and Stacia emphasize that AI should reduce cognitive load, not eliminate human decision-making. While AI can automate repetitive work and provide recommendations, organizations still need human critical thinking, judgment, and accountability for important business decisions.

How is Oracle approaching AI pricing differently?
Unlike many HR technology providers that are moving toward consumption-based pricing models, Oracle includes its base generative AI capabilities within its core SaaS subscription. Organizations only incur additional costs when using premium AI models beyond Oracle's standard offering. This approach is possible because Oracle owns the entire technology stack, including applications, infrastructure, and database services.


TIMESTAMPS
00:00 – Introduction and overview of Oracle's latest AI innovations
00:33 – What are AI workflows, AI agents, agent teams, and agentic applications?
02:35 – How agentic applications surface business outcomes and exceptions
03:57 – The key difference between agent teams and agentic apps
05:29 – Balancing automation with human decision-making
07:31 – Oracle's approach to AI pricing
08:53 – Consumption-based pricing and AI units explained
09:19 – Moving toward outcome-based AI pricing
13:45 – Stacia's analysis and key takeaways
17:29 – Why AI pricing may become one of HR Tech's biggest challenges
18:32 – How Oracle's ownership of the technology stack creates a pricing advantage

RESOURCES & LINKS
Oracle Official Website: https://www.oracle.com/
Yvette Cameron on LinkedIn: https://www.linkedin.com/in/yvettecameron/

CONNECT WITH REDTHREAD RESEARCH
RedThread Research Official Website: https://redthreadresearch.com
RedThread Research on LinkedIn: https://www.linkedin.com/company/redthread-research
Stacia Garr on LinkedIn: https://www.linkedin.com/in/staciashermangarr/
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