The Problem

• • Churn signals are detected too late — by the time accounts are flagged, they've already decided to leave.
• • Retention interventions are generic and not personalized to the specific risk factors.
• • CS teams are overwhelmed with accounts, unable to prioritize the highest-risk ones.
• • Follow-up actions aren't systematically tracked, letting at-risk accounts fall through cracks.

What This Blueprint Does

Morgan, your AI Retention Specialist, detects early warning signs from usage and support data, assesses churn risk, triggers personalized retention workflows, executes targeted interventions, and tracks outcomes — saving at-risk accounts proactively.

• → Detects early warning signs like declining usage, support escalations, and billing issues.
• → Assesses churn risk severity based on warning signals and account value.
• → Executes personalized retention interventions including outreach and offers.
• → Tracks retention outcomes and updates risk models for continuous improvement.

Workflow Architecture