A trust score algorithm in CRM uses AI-driven models to assess the credibility and reliability of leads, customers, or transactions based on historical data, behavioral insights, and engagement trends. Businesses leverage this feature to prioritize high-value customers, reduce fraud risks, and improve lead qualification processes. CRM trust scores help sales and support teams focus on the most promising opportunities while flagging risky accounts. By analyzing past interactions, purchase history, and response consistency, AI-powered CRMs dynamically adjust trust scores, ensuring businesses make informed decisions about whom to target and how to allocate resources.