A conversational multi-agent HR platform with dynamic privacy

Replaced traditional HR intake forms with a conversational AI-driven complaint handling experience that allows employees to describe workplace concerns naturally and securely. Enabled intelligent intent detection, emotion analysis, and structured complaint capture to improve employee engagement and reporting accuracy.

Designed a sophisticated multi-agent orchestration framework using LangGraph and LangChain to dynamically route employee interactions across specialized HR agents. Enabled contextual processing, intelligent follow-up conversations, and streamlined workflow execution for complex HR scenarios.

Implemented a privacy-first complaint handling framework capable of automatically identifying conflicts of interest and enforcing secure escalation pathways. Protected sensitive employee information through confidential and anonymous reporting mechanisms.

Established an SLA-driven escalation mechanism that automatically prioritized complaints based on severity and triggered notifications for relevant stakeholders. Improved HR responsiveness through automated escalation and smart alert management.

Integrated AI-powered policy validation capabilities using vector-based search to evaluate employee complaints against organizational policies. Improved compliance tracking by automatically identifying policy violations and risk indicators.