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ITX QA Practice Speeds Time to Market with AI

ITX has helped clients produce thousands of custom software builds over the past 2+ decades, all of which have enjoyed rigorous quality assurance (QA) review. Through this extensive experience, we have learned that defining test cases typically requires 25-35% of the total QA time billed in each Agile sprint. To accelerate the client’s time to market, ITX deployed a team of QA specialists to work in parallel with their colleagues across four client projects. They were assigned to replicate the task of manual test case creation using four different Gen AI Tools: ChatGPT, GitHub Copilot, Microsoft Copilot, and Jira AI. 

After investigating all the AI tools and developing best practices, the QA subteam achieved 60% time savings and improved efficiency in their workflows. This allowed for the safe delivery of high-quality products and a boost in speed, efficiency, and client confidence.  

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time-savings-with-Miro-AI

ITX’s client is an industry-leading human capital management company. As one of our longest-standing clients, we enjoy a relationship founded on and sustained by a “we’re in this together” mindset. 

 The client partnered with ITX to help reduce the Program Increment (PI) Planning cycle from 2 full days of strategic collaboration per quarter to just 4 hours. We achieved these savings on two different teams during a pilot of Miro AI Assistant’s product planning and story-writing functionality. 

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AI Accelerates Legacy Modernization Project

Our client is a non-profit organization committed to helping students plan for future success in post-secondary academics and beyond. Standing in their way was an aging monolith platform struggling with all the fundamental hurdles that hinder organizational progress and efficiency. 

 An AI-enabled ITX Delivery team jumped in to help revitalize a legacy platform modernization project that had fallen behind its original delivery schedule. Using GitHub Copilot’s AI-assisted IDE (Integrated Development Environment) tool, the ITX Delivery team completed 7 months’ worth of roadmap in fewer than 4 months.  

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