The client is a leading US-based smart home security solutions provider. They needed to improve release velocity, optimize operations, and enhance product intelligence as engineering teams faced growing execution challenges. These challenges included fragmented contexts across tools (such as Slack, Jira, Git, documentation, logs), high context-switching overhead, and manual processes for pull request (PR) reviews, ticketing, and documentation owing to a rapidly growing device base, exceeding 39 million connected devices. These inefficiencies slowed development cycles, extended issue resolution timelines, and limited visibility into system health, creating the need for a more streamlined, intelligent execution model without disrupting existing workflows or governance. eInfochips addressed this by embedding Agentic AI directly into day-to-day engineering workflows as a central intelligence layer, seamlessly integrating with existing tools and processes.

This enabled context-aware assistance, automation of repetitive tasks, faster code reviews, and improved debugging through unified insights. As a result, teams witnessed reduced Grievance Redress Mechanism (GRM) ticket creation time from ~15 minutes to ~30 seconds. Additionally, consistent updates through automated dashboard summaries every two hours, accelerated development cycles, and improved operational efficiency with 50+ always-on autonomous workflows, transforming project execution into a more scalable, efficient, and AI-enabled model.