Preparing CRM Data Before Adding AI

Agree what the fields mean

If one team records a lead source differently from another, reports and model suggestions will be unreliable. Define a short shared vocabulary for customer stage, source, owner, and next action. Remove fields that nobody can explain or maintain.

Separate missing data from negative signals

An empty field does not always mean a customer is unqualified. Preserve the difference between unknown, not applicable, and explicitly reviewed. This reduces misleading automation and helps staff trust the result.

Add AI with a review step

Start with recommendations that a person can inspect, such as summarizing a conversation or suggesting a follow-up. Measure useful acceptance and correction rates before increasing automation. See AI automation services.