OnBoard AI Agent

Employee onboarding is one of the most time intensive and error prone processes in any enterprise. HR teams spend an average of 44 hours per new hire on repetitive, creating learning plans, and answering the same policy questions over and over. Poor onboarding costs companies thousands of dollars per employee and directly contributes to early attrition, with 20% of new hires quitting within their first 45 days. OnboardAI solves this entirely using a three-agent AI system powered by Google Gemini 2.0 Flash. The moment a new employee's details are entered, Agent 1 (Provisioning Coordinator) instantly generates a role-aware tool access checklist, a structured Day 1 schedule, and key team contacts — all grounded in real company data. Agent 2 (Learning Path Generator) feeds the entire company handbook directly into Gemini's 1 million token context window and produces a personalized 30-60-90 day growth plan tailored to the employee's role and department. Agent 3 (HR Buddy) acts as an always available conversational assistant, answering policy questions in real time and escalating out-of-scope queries to the right human contact. What makes OnboardAI unique is the agent chaining architecture each agent builds on the output of the previous one, creating a coherent, context-aware onboarding experience rather than three isolated tools. The platform includes an interactive progress tracker with persistent session storage, one-click PDF export of the complete onboarding pack, persona presets for instant demo switching, and a polished dark-themed Streamlit dashboard with custom CSS. Our target audience is HR teams and People Operations leaders at mid to large enterprises companies hiring at scale who need a scalable, intelligent, and personalized onboarding solution without months of implementation. OnboardAI requires zero vector databases, zero RAG pipelines, and zero complex infrastructure just Gemini's native long-context capability doing the heavy lifting.