The alert reaches whoever can fix it.

When a conversation needs a person, the lead owner knows right away: what happened, the verbatim phrase that triggered it and a button to open that chat.

8 built-in reasons · The quote is checked against the conversation · One alert per reason and per lead

Conversations are lost by minutes.

Not because the team does not want to answer, but because nobody was looking at that chat at the exact moment it was being decided.

Eight readings of the chat and three hard facts.

Some are detected by the agent reading the conversation. The others go through no AI at all: they are conditions the system measures by itself.

Your CRM already notifies. This is something else.

Notifications tell you that something happened. The agent alert tells you a conversation needs a person, and gives you what you need to decide before opening the chat.

The model proposes. The code decides.

An alert that cannot be verified is the word of the AI against the time of the rep. So none goes out without passing the same check.

An alert that interrupts has to earn the right.

The difference between a tool the team looks at and one it learns to ignore is who it reaches and how often.

What gets checked in the first demo.

The module that comes next.

Bring a chat that slipped through.

We read it together in the demo and see which reason would have caught it, with what phrase, and who on the team the alert would have reached.