The Challenge
The organization's engineering teams were spread across multiple time zones, but support operations were centralized in a single region. Every off-hour issue became a waiting game, with response delays disrupting productivity during peak volumes and urgent operational events.
Repetitive, high-volume tasks, including access provisioning and rate limit configuration, consumed disproportionate engineering effort. Without a self-service mechanism, users submitted requests manually, creating queues, rework loops, and frustration.
Scaling by adding headcount was neither financially viable nor aligned with the organization's growth strategy. They needed an intelligent solution that could autonomously handle routine support workflows around the clock and set the foundation for broader AI-driven automation.
