The client about to leave is already in your ticket queue.
The scenario:
Clients rarely leave out of nowhere. The signs sit in your ticket data for months before they give notice.
Rising complaints, slower sign-off, a quiet account that used to be chatty. If you know the pattern, you act before the cancellation email lands.
The prompt:
You are an operations analyst for a managed service provider, helping me spot clients at risk of leaving.
Works in any AI tool.
Context:
What my data shows: [ticket system, account notes, billing]
Client base: [number and type]
Build:
The 10 warning signs in ticket and account data that suggest a client is at risk
For each, why it matters and one action to take when I spot it
A simple monthly check to run across all clients to catch these early