Details.
A portfolio of AI agents runs inside your own data stack and watches communications as they happen. The Watcher scores new communications against the model, the Flagger identifies cases drifting towards a bad outcome and explains why, the Recommender turns each flag into a specific next action, and the Learner feeds outcomes back into the model so it improves over time.