Our Process

We begin by thoroughly understanding your unique challenges and goals through an in-depth discovery session. Analyzing sample defect data, we uncover inefficiencies in your current workflows and identify key areas for improvement. This step forms the foundation for our AI-driven solution.

Based on the insights gathered, we propose a tailored AI/ML solution designed to meet your specific needs. This includes an intelligent bug assignment and triage system, customized through feedback, and validated with a small-scale pilot to ensure alignment with your business goals.

Our technical experts seamlessly integrate the full solution into your existing infrastructure, ensuring compatibility with your current defect management systems. Historical data is fed into the AI/ML models, allowing for real-time bug assignment, triage optimization, and duplicate detection.

We ensure your teams are fully equipped to use the solution by providing comprehensive training. From developers to quality assurance personnel, we guide them through best practices and system interactions, ensuring everyone is confident in leveraging the AI to its fullest potential.

Our work doesn’t stop after integration. We closely monitor the performance of the AI/ML models, tracking key metrics such as resolution time and triage accuracy. By fine-tuning the system based on real-time feedback and data, we ensure it continues to perform at its best.

To keep the system relevant and effective, we establish mechanisms for feeding new defects back into the AI. This continuous learning loop allows the solution to evolve alongside your organization, adapting to new challenges and maintaining peak efficiency over time.

Our partnership doesn’t end with implementation. We provide ongoing support to troubleshoot issues and explore opportunities to expand the solution across other teams and verticals. With regular reviews and enhancements, we ensure that our AI solution scales with your growing business needs.