Spot trouble before it costs you a client
Churn signals are usually there for weeks before the client says anything. Tuesday AI watches the patterns — ticket volume changes, slowing responses, escalation rates, satisfaction signals — and flags risk early.
Who it's for
- MSP owners managing client portfolios
- Account managers responsible for retention
- Service managers responsible for delivery quality
Pain points we solve
- Churn that 'came out of nowhere'
- Scope-creep clients quietly eroding margin
- SLA risk surfacing only after the breach
How Orbit fits
Tuesday AI watches every signal Orbit captures — tickets, responses, meetings, financial signals — and produces ranked risk flags for the team. Each flag is explainable: 'this is why we surfaced this.'
What Orbit delivers
Churn risk ranking
Clients ranked by churn likelihood with the contributing signals shown.
Margin risk flags
Clients trending toward unprofitable based on tracked time vs revenue.
SLA risk alerts
Pre-breach SLA alerts at the queue and individual ticket level.
When teams reach for this
- Weekly portfolio review by the account team
- Monthly leadership review
- Real-time SLA defense
Frequently asked questions
- Is risk detection real-time?
- Risk flags refresh continuously; some heavier signals refresh on a daily cadence.
Want to see how this works in Orbit?
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