Farewell Copilot, hello AI Agents

The technological revolution in the business environment does not stop, and one of the most recent and promising examples are AI Agents. These represent an evolution with respect to AI co-pilots, which, although useful, have been surpassed in autonomy, specialization and ability to integrate with enterprise systems.

AI Agents: The New Era of AI in HR

AI copilots have marked a before and after by freeing employees from routine and repetitive tasks. From drafting emails to summarizing meetings to creating content for presentations, these assistants have optimized time and increased productivity on a daily basis.

However, the scope of Co-Pilots remains limited, as they rely on constant user interaction and work with generic data that often lacks specific context. This is where AI Agents take center stage, offering a more sophisticated and autonomous approach.

What differentiates an AI Agent?

AI Agents don’t just assist; they act. They are designed to execute tasks autonomously, making decisions and completing processes without the need for constant supervision. Their main characteristics are:

• Specialization: They are trained with the company’s own data, which allows them to provide accurate and contextualized answers.
• Autonomy: They can make decisions, initiate processes or interact with other AI tools or Agents to complete complex workflows.
• Interactivity: Their ability to communicate conversationally with humans or interact with other Agents makes them a key part of improving the user experience.

More accurate answers thanks to specific context

One of the main advantages of AI Agents is their ability to provide highly specific and contextualized responses. This is possible because they are trained with each organization’s own data and even user information. Unlike AI co-pilots, which work with generic data and lack customization, AI Agents train their models with corporate documents and policies, business processes, as well as the organizational culture and strategic goals of the company.

This training allows interactions with Agents to be much more accurate and relevant. For example, an Agent trained with an organization’s compensation policies will not only provide general benefits information, but will offer recommendations aligned with internal standards, specific employee profiles and labor market trends.

In addition, by incorporating individual user data, Agents can tailor their responses to each employee’s personal preferences and needs. This makes them an indispensable tool for delivering personalized experiences and fostering greater satisfaction and trust in the use of technology.

Use Cases: AI Agents

Oracle Cloud HCM has embedded dozens of AI Agents in multiple areas of HR, transforming key processes and enhancing the user experience:

Some outstanding examples are:

1. Employee Life Cycle: Internal Mobility Assistant, helps employees explore career advancement opportunities within the organization by providing guidance on open positions and required skills; Onboarding Assistant, an onboarding assistant who can help new employees during their first days by providing information on company policies, culture and essential resources.
2. Career Development: Career Planning Guide, helps guide employees in defining career goals and developing a roadmap to achieve them; Performance and Objectives Assistant, helps employees set and achieve performance objectives.
3. Compensation and Benefits: Benefits Analyst, a consultant who helps employees understand and maximize their benefits packages, providing customized information on medical, dental and vision coverage based on individual needs; Compensation Guidelines Analyst, helps provide information and guidance on market trends and company policies around compensation for new hires and promotions.

Oracle Cloud HCM, as a pioneer in this evolution, continues to lead the way to a future where AI Agents redefine the role of technology in human capital management.

Ricardo García Lema

Ingeniero principal de soluciones HCM en Oracle Cloud HCM