Customer Success

4 skills planned

AI skills for CS teams — real-time health scoring, churn prediction, QBR automation, and renewal risk assessment. Track customer health without manual spreadsheets.

Problems these skills solve

Health scores live in spreadsheets

CSMs update health manually once a month. By the time you spot a problem, the customer is already talking to competitors.

71% of churn signals are missed

QBR prep takes a full day

Pulling usage data from 4 tools, formatting slides, calculating ROI. Every quarter, every account.

6-8 hours per QBR

Renewal surprises

No systematic way to predict which renewals are at risk. Finance asks for a forecast, you guess.

60% of churned accounts showed warning signs 90 days before

Onboarding is inconsistent

Each CSM runs onboarding differently. Time-to-value varies 3x between reps.

42-day avg time to first value

Planned skills

/health-score

Real-time customer health scoring based on product usage, support tickets, and engagement signals

/churn-alert

Early churn warning — flags accounts with declining engagement before renewal

/qbr-prep

Auto-generate QBR deck with usage data, ROI metrics, and expansion opportunities

/renewal-risk

Renewal risk assessment with recommended save plays per account

AI Skills for Customer Success — Churn, Health, QBR | Elasticflow