Why CRM Data Quality Often Fails to Improve with AI: Root Causes and Strategic Recommendations
While AI holds immense promises to enhance CRM systems, organizations often find that data quality does not improve, despite the deployment of AI. As AI-powered features such as lead/opportunity scoring, predictive analytics, and automatic data enrichment become commonplace, the expectation is that better data quality will result. However, in practice, many organizations experience stagnant or even degraded data quality. There are structural and behavioral reasons for this paradox. So, what must we change to allow AI to truly enhance CRM data reliability?