The old way. A customer raises three support tickets in a month, the last one with a frustrated tone. Six weeks later they cancel. In the post-cancellation review, finance notices the contract was paid on time every month and the support tickets were all closed within SLA. Nobody had a flag system that said this customer was at risk.
What ISPCQ does. Aelita reads every one of the previous day's tickets for tone, and surfaces the customers who sounded unhappy to the department heads in the daily report, with the ticket that prompted it. The signals a human would use are already on the same record and one screen away: contract age, ticket frequency, signal-quality trend, payment punctuality, plan-change history. The point is not a score. It is that somebody sees the frustrated customer on Tuesday rather than reading their cancellation on Friday.
The operational outcome. Outreach happens before the cancellation form gets submitted. The customer-success team has a short list of customers who actually sounded unhappy this week, not a randomised slice of three thousand.
