PulseIQ deploys an autonomous AI agent that monitors every account around the clock, surfaces churn risk weeks before it shows in your CRM, and executes retention plays without waiting for a human to click.
Ingests product usage, support ticket sentiment, login cadence, and billing signals continuously. No polling intervals, no dashboards to check.
ML models trained on your account data detect early churn signatures 30–60 days before cancellation signals surface in your CRM.
Triggers personalized outreach, schedules QBRs, drafts renewal emails, and escalates high-risk accounts — without waiting for a CSM to act.
Weekly executive digest on NRR impact, churn prevented, and expansion signals — delivered to your inbox, not a portal you have to open.
Connects to your product analytics, support ticketing, CRM, and billing systems. Pulls data continuously — no manual exports.
Ensemble ML models (gradient boosting + neural nets) score every account hourly. AUC performance targets 0.85+. Scores are explainable — every signal is visible.
Below threshold: agent runs playbook independently. Above threshold: full context brief delivered to CSM with recommended action. Human decides; agent executes.
Every outcome — save, churn, expansion — feeds back into the model. The agent gets more accurate over time, tuned to your specific customer behavior.
Every major CS platform shipped an AI copilot in 2024. They surface risk. They don't act on it. Your CSM still does the investigation, coordination, follow-through, and escalation — across 150 accounts.
PulseIQ is built differently. The agent executes retention workflows end-to-end. You don't manage a dashboard. You manage the agent.
The average CSM manages 80–150 accounts. No human can monitor all of them in real time. PulseIQ's agent never sleeps, never drops a thread, and never lets a churn signal go unnoticed.