Sentinel Agent

This agent extracts sentiment and activity metrics from digital data to provide objective insights into an employee’s digital footprint related to stress, workload, and engagement. It continuously monitors employee data streams, applies NLP models for sentiment analysis and statistical methods for activity patterns, and identifies deviations from norms without explicit human queries.

It is part of a privacy-preserving system that supports employee well-being by analyzing digital footprint and sensory data. The system identifies early signs of stress, fatigue, or illness, enabling timely intervention and personalized support, and gives aggregated insights for organizational well-being strategies. Employees, HR, and leadership are the primary users. Early detection of workload imbalances and negative team dynamics contributes to higher productivity and lower turnover. It uses Google Cloud Pub/Sub, Cloud Functions or Cloud Run, the Google Cloud Natural Language API, and Firestore.