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AI agents identify customers likely to churn, encounter issues, or need help—and reach out proactively before they contact support. Proactive outreach reduces churn by 10–20% and improves NPS by addressing problems before they escalate.
Most support is reactive: you wait for customers to contact you, often after frustration has built up. By the time they reach out, satisfaction has already dropped.
The AI agent monitors usage patterns, billing events, and product signals to identify at-risk customers. It sends contextual outreach: 'We noticed you haven't used Feature X—here's a quick guide', 'Your renewal is coming up—want to review your plan?', or 'We fixed the issue you reported last week.'
Integrate usage analytics, billing system, and CRM. The agent needs to see engagement patterns and account health signals.
Set signals for proactive outreach: low usage, approaching limits, renewal dates, feature adoption gaps, recent bugs affecting the customer.
Start with high-value accounts. Track engagement rates, churn impact, and CSAT changes. Expand triggers based on what drives the best outcomes.
Intercom, Gainsight, Vitally. See the full list on the AI Support Agent pillar page.