Predictive Support Alerts

Stay Ahead of Issues Before They Escalate

AI spots churn signals early so you can act before customers cancel.

Why It Matters

Don’t wait for cancellations. Surface risk early and save renewals before they’re gone.

Churn after repeated complaints
Missed renewal saves
Teams react too late
No system to flag risky behavior
SLA Miss SLA Miss SLA Miss Risk over time

How We Solve It

Scores, alerts, and playbooks that move fast.

Step 1 — Early Warning Scores

Per account

Combine behavior, support history, and NPS to predict churn risk before it spikes.

Risk Score: 0.82 (High)
Step 2 — Contextual Alerts

Product, billing, delivery

Send alerts with the exact context teams need to fix the issue on the first touch.

Alert: Billing retry failed x3
Step 3 — Playbooks

Discount, outreach, manager ping

One‑click actions apply the right remedy and track outcomes automatically.

Apply 10% Proactive DM Ping Mgr Status: Resolved

Stop Reacting. Start Predicting.

Catch churn signals early and save the account with targeted actions.

Risk after action: Medium

FAQs

What data sources can you ingest?

Tickets, chat, email, CRM events, billing, product telemetry, surveys, and custom webhooks. We normalize it all.

Can alerts route into Slack, Email, or CRM?

Yes. We send to Slack channels/DMs, email groups, and CRMs like HubSpot/Salesforce with full context.

How are false positives handled?

Feedback loops let agents mark outcomes. Models recalibrate using outcomes and suppression rules you control.

How fast does it learn?

You’ll see lift within days. As feedback accumulates, precision and recall improve week over week.