Renewal Risk Early Warning

The Challenge

Renewals fail when warning signs are missed. By the time usage drops or complaints surface, it's often too late. CS teams need early warning systems to intervene proactively.

The AI Desk Solution

AI Desk monitors multiple signals to identify renewal risks before they become visible in traditional metrics.

The Workflow

Step 1: Continuous Monitoring

Scope: Accounts renewing in 90 days
Signals: Usage, support, engagement, sentiment

Step 2: Risk Scoring

• Usage trend analysis
• Support ticket patterns
• Executive engagement level
• Sentiment in communications

Step 3: Risk Alert

⚠️ Renewal Risk Alert: Acme Corp

ACCOUNT DETAILS
├── ARR: $120,000
├── Renewal date: May 15, 2026
├── Days until: 72
└── Risk level: HIGH

RISK SIGNALS DETECTED

Usage Decline 📉
├── DAU down 35% (last 30 days)
├── Key feature adoption: 20% → 12%
└── Admin logins: 0 in past week

Support Concerns 🎫
├── 5 tickets opened (vs 1 avg)
├── Sentiment trending negative
└── Escalation to engineering last week

Engagement Gap 📞
├── No executive contact in 60 days
├── QBR missed (scheduled, no-show)
└── Champion on PTO (returns next week)

CONTRIBUTING FACTORS
├── New competitor evaluated (from call)
├── Budget pressure mentioned
└── Key user left company

RECOMMENDED ACTIONS
├── 🔴 Exec outreach within 48 hours
├── 🔴 Technical health check call
├── 🟡 Prepare value summary for QBR
└── 🟡 Identify backup champion

CSM: Jamie Lee | AE: Dana Chen

Value Proposition

• Time Saved: 1 hour per account review
• Early Detection: 60-90 days ahead
• Save Revenue: Proactive intervention