Case Study: BlaBlaCar accelerates incident response with Cleric AI

How the World’s Leading Community-Based Travel Network is Transforming Incident Response with AI

BlaBlaCar, a major community-based travel network, faced challenges in its incident response process. With a complex, interconnected service architecture, their lean SRE team struggled to quickly identify the root causes of alerts and effectively scope issues that spanned multiple teams, leading to lengthy recovery times and alert fatigue. To address this, the company partnered with Cleric to explore an AI-driven solution.

By implementing Cleric's AI platform, which integrates with their existing tools like Datadog and Slack, BlaBlaCar automated the initial investigation of alerts. Cleric acts as an AI SRE companion, providing engineers with immediate, actionable insights and reducing the search space for problems. The results were significant: Cleric investigated thousands of alerts, with over 85% of its findings rated as high confidence. It helped cut investigation times, especially for junior engineers, and achieved consistent, high-quality analysis for certain alert categories within weeks of deployment for new teams.

BlaBlaCar

Maxime Fouilleul

Head of Infrastructure & Operations