Case Study: a major industrial staffing firm uncovers a $34M inefficiency with Observe.AI

One of the nation’s largest industrial staffing firms uncovers a $34M inefficiency, closing unknown service gap

A large industrial staffing firm faced significant challenges in analyzing its 4 million annual phone calls to improve agent performance. Their quality assurance process was inefficient and subjective, with analysts only reviewing a handful of calls per agent each month. They partnered with Observe.AI and its conversation intelligence platform to gain deep insights from these conversations, uncover hidden inefficiencies, and create more effective, data-driven coaching for their coordinators.

By implementing Observe.AI, the company identified a major operational gap where "calendar full" was cited on 30% of calls, revealing a $34 million annual revenue loss opportunity. The solution enabled them to perform 10x more quality checks, leading to an 86% increase in QA efficiency. Observe.AI provided the data necessary to transform their coaching programs, move away from subjective checkboxes, and address specific agent shortcomings with targeted training.