Agentic Control Center for Data Product Optimization

We propose a system that automates data product improvement through specialized AI agents operating in a continuous optimization loop. By surfacing questions, monitoring multi-dimensional quality metrics, and supporting human-in-the-loop controls, it transforms data into observable, refinable assets that balance automation with trust and oversight.