1. We develop a person-based, statistical-grade, longitudinal dataset for every client.  This highly-valuable asset allows for the most "statistically pure" analytics to run against it.  Once deployed, client data continuously feeds this dataset.

2. The dataset powers models that predict continuous real-time risks for every person.

3. Predictor variables associated with each person's risks produce detailed reasons why they are at risk.

4. An automated rules engine selects person-based suggested actions to mitigate the risks.  The actions are stored and continuously updated inside a dynamic intervention repository.

5. The Real-Time Risk Reports provide risk rankings (most at risk to least at risk), causality analysis & suggested actions.  These AI-driven insights are invaluable because they optimize outcomes & lower costs. The report insights can be directly integrated into client workflow.

6. Machine learning technology ensures that every action is measured for its effectiveness and automatically fed-back into the next "AI Cycle". Over time, the dataset grows and the platform gets smarter and smarter as more data and action results pass through.