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Processing vacation, permission, or personal data change requests with intelligent HR improves productivity and reduces errors.

Type of AI solution: AI agent that does not include a chatbot (it is possible to integrate a conversational interface or AI chatbot, if required)

Traditional process: An employee in the Human Resources department receives vacation, permission, or personal data change requests via email or forms. Then, they manually review the information, validate applicable policies, and, if appropriate, update the corresponding systems.

Application of RPA with human control:

1. Reception and classification: A bot automatically receives and classifies requests sent by email or a self-service portal, organizing them by type (vacation, permissions, data changes).
2. Preliminary validation: The bot automatically verifies basic aspects, such as available days for vacations or if the request is complete.
3. Escalation to human for decision: If the request requires approval (for example, vacations or permissions), the bot sends it to a human supervisor or manager with all the organized information to facilitate evaluation. The human reviews the request, makes a decision (approve or deny), and records it in the system.
4. Automated update: Once the human approves the request, the bot updates the human resources management systems (payroll, employee records, etc.).
5. Notification to the employee: The bot sends an automatic email to the employee with the status of their request (approved or denied) and relevant details.

Benefits:

• Reduction in processing time: Reduction of time dedicated to repetitive tasks, such as organization and initial validation.
• Optimized flow: Smoother process by combining automation with human control in key decisions.
• Minimization of errors: Minimization of administrative errors by automating system updates after approval.

Conclusion: An automated process with human intervention at key points improves HR productivity and reduces the risk of errors, resulting in more reliable and agile management of internal requests.