catalyst

In Common is an AI-powered workforce intelligence prototype that helps large organizations staff teams faster, more fairly, and with better evidence. It sits on top of existing workday employee and role data, enriches static profiles through conversational AI, and uses a layered matching pipeline to connect people to opportunities. Key features: Conversational profile enrichment to capture hidden skills, motivations, working style, and team dynamics Role-to-candidate and candidate-to-role matching Hard filters plus semantic matching plus LLM-powered reasoning Anonymized shortlists by default to reduce bias and fairer Staffability scoring and training recommendations to improve deployability Decision traces and audit logs for explainability and trust