Recovering $2M/Year in Engineering Productivity with Automated Build Intelligence

A $10B+ enterprise infrastructure company is recovering engineering productivity with DevRev — automatically identifying why builds fail and who owns the fix, instead of manual detective work across four tools.

Company

The customer is an enterprise infrastructure company building cloud computing solutions for data centers worldwide. This case study is presented anonymously at the customer's request.

Challenge

When engineering builds failed, teams had to manually gather data from Jenkins, Jira, Gerrit, and Slack to identify root causes. This detective work consumed hours per incident — adding up to roughly $2M in annual productivity loss.

Solution

DevRev connects these disparate systems into a single intelligent surface that automatically identifies why a build failed, links it to the specific code change that caused it, and surfaces the responsible engineer — all without manual investigation.

Impact

Automating the investigation turns hours of cross-tool triage into an instant answer: