To ensure trustworthy insights, Kernel’s cleaning agent first cleaned the CRM one account at a time, removing bad links, fixing LinkedIn links, and deleting inactive accounts. Kernel then updated all accounts with accurate account data enrichment, replacing the manual spot checks RevOps used before loading the data into scoring models.

In addition to core firmographics, Kernel ensures accurate complex estimates by mapping the CRM exactly onto target markets, with CRM cleaning and foundational enrichment acting as required steps before custom enrichment. This means making sure company hierarchies align with the details of CloudZero’s GTM plan. A clean CRM saves time for the RevOps team, who no longer have to patch data by hand, and it lets AI run effectively in the CRM. Building custom AI models without Kernel’s clean account data leads to low-quality estimates and a loss of trust from the sales teams who rely on them.