Automated Workflow Execution
By the time a client calls to cancel, the decision is usually already made. The signals that predict churn typically appear 60–90 days earlier, hidden in your CRM data, email patterns, and project metrics. AI can monitor all of these simultaneously across your entire client base. • Declining email response rate from client contacts - a measurable signal that engagement is dropping • Increasing time between client-initiated communications - clients who stop reaching out are often shopping alternatives • Missed or rescheduled QBRs and check-in calls without reschedule - disengagement is predictive of churn • Project milestone slippage without client escalation - satisfaction declining but unexpressed • NPS score trends - a drop of 10+ points in 90 days is a strong churn indicator • Champion departure - when your main contact leaves the client company, churn risk spikes significantly