Propuesta de modelo de automatización del proceso de onboarding para Renovallanta

Abstract

Abstract: This study presents an AI-assisted digital onboarding model for RENOVALLANTA S.A., designed to standardize induction, reduce recurring requests handled by Human Talent, and support new hires in adopting the organization s culture in a structured way. The discovery phase combined an assessment of the current onboarding process and its main pain points with a literature review and interviews with key internal stakeholders. Based on these inputs, a minimum viable product (MVP) model was defined, integrating milestone-based onboarding journeys, role-based pathways by job profile, clear responsibilities for Human Talent and assigned mentors, a self-study content repository, and a virtual assistant that answers frequently asked questions and guides users through required procedures. The solution also incorporates version control and auditable evidence of completion. The proposal was validated through expert interviews, which informed adjustments for a phased rollout and recommendations for monitoring indicators. The main contribution is a replicable model that improves the employee entry experience, increases operational consistency, and creates the foundation for continuous improvement.