Spots the customers about to leave, while you can still save them.
Some customers are about to leave and you don't know it yet. They don't complain — they just go quiet, or their usage drops, or their replies get shorter. By the time they tell you, they've usually already decided. This agent reads the signs before that happens. It analyzes every customer interaction — support tickets, emails, product usage patterns — and assigns each account a health score.
When a customer's sentiment starts dropping, you get an alert with the reason and a recommended action. Maybe they hit a bug nobody told you about. Maybe they're quietly comparing competitors. Maybe they just need a check-in call from a human. The agent doesn't just say 'this account is at risk' — it tells you why, and what to do about it.
The point isn't to spy on your customers. It's to catch problems while they're still fixable — a bug you can patch, a question you can answer, a relationship you can repair with one conversation. Every Monday you get the at-risk list with reasons and suggested actions, plus the overall trend across your base, so retention stops being reactive and starts being something you plan around.