HRabbit
The HRabbit Offboarding Agent is an automated knowledge preservation system built on IBM watsonx Orchestrate designed to prevent "brain drain" during employee exits. By deploying a "detective" HR Agent to scan internal tools like Confluence for documentation gaps, the system dynamically generates a targeted interview script for a second "interviewer" agent to administer via chat. This dual-agent workflow proactively captures critical tribal knowledge and unwritten context from departing staff, instantly synthesizing their answers into a comprehensive "Successor Readme" that ensures the next hire has the clarity they need on Day 1.
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"Great presentation and idea. This product is attempting to assist HR with ensuring offboarding process retains the business value. Different levels of employees have different scope of work across platforms, and some data may have access controls. More work is need to define how the agents effectively identify the gaps based on employee role. One opportunity is to add additional agents to loop in questions from teammates who are one of the major stakeholders."
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Hari Kanagala
Group Product Manager AI
"Application of Technology: Strong watsonx Orchestrate integration via REST API with proper JWT authentication, skillset discovery, and dynamic skill invocation; integrates Confluence, Slack, and Jira through RAG architecture for knowledge extraction. Code demonstrates legitimate API patterns though uses REST rather than ADK. Presentation: Excellent pitch deck with compelling problem framing ($31.5B annual loss, 76.6% organizational concern), clear 6-step user flow diagram, system architecture visual, competitor analysis table, and quantified impact metrics (50-70% knowledge loss reduction, 35% faster ramp-up). One of the most polished submissions reviewed. Business Value: Addresses a significant, underserved HR problem with strong market validation (TAM $585B, SAM $117B, SOM $3.5B); 69% of HR professionals cite inadequate knowledge transfer as a challenge. Clear ROI case for enterprises facing employee turnover. Originality: Novel focus on offboarding rather than onboarding—most HR AI tools ignore the departure phase. The AI-driven exit interview with automated gap identification and iterative knowledge capture creates genuine differentiation from competitors like Sensay and Guru."
Ken Huang
CEO
"The business value and originality are high because the dual-agent offboarding model addresses a real and often ignored problem—knowledge loss—using a creative detective-plus-interviewer workflow that is rarely seen in HR automation. Even without a demo, the project demonstrates excellent presentation of the business problem and an advanced, well-thought-out application of agentic AI that clearly showcases strong technical depth."
Aparna Penumatcha
For Innovators & Creators