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Case Study

AI-Powered SDLC Transformation for a Global Technology and Communications Company

Overview

A tight BSS replacement timeline demanded 25% to 35% higher scrum-team velocity for the given headcount.

Neurealm approached the challenge as an AI maturity journey, progressively embedding AI across architecture, development, testing, code review and engineering workflows.

Download the case study to see how the journey evolved from AI-assisted development to agentic and AI-native SDLC workflows.

What You’ll Discover 

  • How a 5-level AI-powered SDLC maturity model was designed around the program’s delivery needs
  • How AI evolved from chat assistance to embedded coding, contextual engineering and specialized agents
  • How engineering context was connected across code, repositories, databases, testing and project systems
  • The before-and-after velocity improvement achieved across developers and testers

Download Case Study

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