The Challenge 

The client’s SaaS transformation was slowed by unclear requirements, manual development processes, and time-consuming testing activities. Frequent rework and quality issues impacted delivery speed, while low test coverage increased the risk of defects. To stay competitive, the client needed a faster and more efficient way to build, test, and release software without compromising quality. 

The Solution 

Unlike traditional AI adoption focused only on code generation, CMC Global implemented specialized AI agents aligned with each software delivery role. 

This approach ensured that AI contributed value throughout the entire product lifecycle: 

Requirement analysis (ChatGPT plus) 

• Structured user stories with acceptance criteria Security constraints (e.g., RBAC rules) 
• Validate and define edge cases based on knowledge input and agent instruction 
• Define screen definition based on UI/UX design by MCP with Figma 

Solution architecture (Cursor) 

• Drafting sequence diagrams, data models, and access flow diagrams  
• Impact analysis for integrating with physical gate controllers  
• Create test strategy, test scope, and detail test plan for the feature 

Software engineering (Cursor) 

• Coding based on user story and project document 
• Validation logic Code documentation & inline security notes 
• Automatic refactor suggestions 
• Unit test generation 

Quality assurance (Cursor)

• Structured test case based on input from BA and recommend edge cases. 

• Data-driven test sets for visitor workflows 

• Automation test script and help detect flaky tests 

By reducing repetitive work at every stage, teams were able to focus on higher-value activities such as product design, customer experience, and innovation. 

The Result 

• 36% Increase in Productivity: The development of productivity is increased by 20% – 36%*, based on feature complexity but consistently delivered across engineering teams. 
• 50% Improvement in Requirements Clarity:  AI-assisted requirement analysis reduced refactoring and production-issue costs, enabling faster releases and engineering capacity 
• 35% Reduction in Defect Rates: 65% of critical defects were prevented before reaching production, lowering remediation costs, and improving platform reliability. 
• 40% Faster Quality Assurance Execution: Automation eliminated manual testing activities, enabling QA teams to focus on strategic quality initiatives and accelerating release readiness. 

(* The actual result depends on the type of work, i.e. feature implementation, maintenance, issue/defect fix, etc) 

“CMC Global helped us elevate both speed and quality. The drop in defects and faster QA execution created real business value for us.” _The client’s CIO