How to know which clients are at risk of leaving with AI

AI detects client churn risk at an RIA by tracking engagement signals — declining email opens, missed meetings, slower responses, fewer questions, lower portal logins — and flagging the principal when a client crosses a threshold. The intervention is always a real human conversation; the AI just makes sure the principal sees the warning in time.

The signals AI tracks

• Email open and reply rate over the last 90 days.
• Meeting attendance and rescheduling patterns.
• Portal login frequency.
• Time between client-initiated questions.
• Response sentiment (do replies feel warm, neutral, cold?).
• Touch-point completion rate.

What the alert looks like

When a client crosses a threshold the AI surfaces:

• The client name and household.
• Which signals fired.
• A timeline of recent interactions.
• A draft outreach message in the advisor's voice.
• A suggested conversation starter for the call.

What the advisor does

• Reviews the alert.
• Picks up the phone or sends a personal note.
• Has the actual conversation.
• The save (or the loss) is theirs to own.

What this is NOT

• A cancellation prevention chatbot.
• Automated retention emails sent without review.
• A predictive score that the client ever sees.

The honest impact

Most firms find 2-4 clients per quarter at real churn risk that the principal didn't know about. Catching one save per quarter typically pays for the entire install.

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