Case Study

Leadership Needs Answers Fast. Analysts Shouldn't Have to Stop Everything to Find Them.

Hand using stylus on a digital screen displaying colorful financial graphs and stock market data.

Urgent sales performance requests were pulling analysts off higher-value work. OnTrac AI built an AI-enabled analysis workflow that delivers structured insights in a fraction of the time.

The Challenge

A leading fleet vehicle company's sales leaders regularly needed rapid explanations for performance declines across specific vehicle lines, regions, or customer segments. Getting those answers meant analysts had to drop their current work, pull internal sales data, scan external competitive signals, investigate likely causes, and synthesize it all into a leadership-ready narrative. The requests were unplanned, urgent, and relentless. The analysts were capable of doing the work, but they couldn't do it fast enough or often enough to meet demand without sacrificing everything else on their plate. 

What OnTrac AI Built

OnTrac AI designed an AI-enabled analysis workflow that accelerates the research and synthesis steps, giving analysts a structured starting point rather than a blank page. 

  • Aggregates internal sales and performance data alongside relevant external market and competitive signals 

  • Applies analytical logic to surface patterns and identify likely performance drivers 

  • Uses a large language model to synthesize findings into clear, structured summaries ready for leadership review 

  • Allows analysts to review, refine, and adjust messaging before anything is shared 

  • Provides a repeatable framework analysts can apply to future requests without rebuilding the process from scratch 

Why can't most organizations scale analytical capacity to meet leadership demand without AI? 

The bottleneck isn't analyst skill; it's the time cost of gathering and synthesizing information under deadline pressure. As data volume grows and leadership expectations accelerate, the gap between what teams can produce and what executives need keeps widening. AI-assisted insight generation compresses the research and synthesis steps so analysts can respond faster, produce more consistent outputs, and redirect their capacity toward analysis that requires genuine human judgment.