34% Reduction in Labor Costs with the GDC Model

Challenge story The primary challenge lies in building a GDC with a long-term technical team to develop products for domestic and international clients. The team …

Challenge story

The primary challenge lies in building a GDC with a long-term technical team to develop products for domestic and international clients. The team must possess deep technical expertise to navigate complex legacy source code while ensuring a low TOR to maintain continuity and minimize training disruptions.

Additionally, the team will play a key role in collaborating with clients on high-priority R&D projects, including:

– A product integrated into meeting platforms that uses AI-powered speech recognition to transcribe meeting notes.
– A remote customer support solution for telecom companies, enabling users to resolve smartphone issues without visiting physical stores.

CMC Global Approach

1. Building a Global Delivery Center
– Recruits and retains key tech talent for long-term project stability.
– Ensures deep expertise in legacy systems to minimize disruptions.

2. R&D Partnership for Critical Projects
– Developing an AI Meeting Assistant for seamless integration into online meeting platforms
+ Transcribes meetings in English, Japanese, Korean & automates note-taking, boosting productivity.
+ Features an AI Bot that joins as a third-party participant, capturing and segmenting discussions by speaker (if voice-registered) for clear, structured reports

– Building an AI-Powered Remote Visual Support Tool for telecom clients:
+ Uses AI models for real-time user detection (ensuring faces are centered in the camera).
+ Applies background removal and noise cancellation (keyboard clicks, office chatter, distant voices) for clearer interactions.
+ Enables remote smartphone troubleshooting, reducing in-store visits and operational costs.

3. Flexible Engagement Model
– Time & Materials pricing for budget adaptability.
– MVP team structure + BrSE collaboration for smooth communication.

Results

  • 17% Reducing in-store visits
  • 34% reduction in Labor Costs
  • 40% increased productivity
  • ~92%accuracy in face detection
  • ~77% reducing background noise