Case Study: Leading Global Database Platform saves several business days per month with Frame.ai

Global database platform with >10k customers saves several business days per month with Frame AI

Leading Global Database Platform, a global database platform with more than 10,000 customers, needed a better way to understand customer sentiment across its support channels. With CSAT data coming from different systems like Salesforce Service Cloud and Intercom, plus no formal sentiment data in Slack, the team lacked a consistent, comparable view of customer experience.

Frame.ai helped unify the company’s three primary customer voice channels and normalize sentiment across conversations using its AI-driven scoring and configurability. By recalibrating existing CSAT data and pushing scores back into Salesforce and the internal data lake, Frame.ai enabled faster, more data-driven decisions, improved cross-functional alignment, and saved the company several business days every month in productivity.