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

1 min read

Last Updated  

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:

  • Targeting $2M per year in recovered engineering productivity.
  • Automated root-cause analysis across Jenkins, Jira, Gerrit, and Slack.
  • A single surface linking failures to the specific code change.
  • Responsible engineers surfaced automatically.

Talk Track

We have a $10B+ infrastructure company paying for a 6-month PoC. Their builds fail 75-80% of the time, and they lose 40 hours per cycle just on triage. We're targeting 4-hour triage with 95% accuracy by connecting Jenkins, Jira, Gerrit, and Slack. They're paying because the ROI is that clear.