Kernel Ai
12 Case Studies
A Kernel Ai Case Study
n8n, a workflow automation and developer tools company, faced significant data integrity challenges in its Salesforce CRM after rapidly scaling its sales team from 5 to 50 reps. The company had zero corporate hierarchies mapped, thousands of duplicate accounts from multiple sources, and its incumbent firmographic tool, Apollo, was providing inaccurate data that misclassified enterprise accounts. This created chaos for territory planning and prevented the RevOps team from building a reliable foundation for its go-to-market strategy.
To solve this, n8n implemented Kernel Ai to map corporate hierarchies, deduplicate accounts, and establish a new firmographic source of truth. Kernel provided accurate data with reasoning, identified and resolved thousands of duplicates, and correctly classified accounts. This gave the RevOps team confidence to build territories, ensure accounts were routed to the correct reps, and freed them from manual reviews. The results included a territory allocation process designed for enterprise selling and account scoring rebuilt on Kernel's accurate industry and headcount data.