The Client

A large Fortune 15 telecom required a secure, scalable, and intelligent platform to support its network operations team. The goal was to streamline processes, enhance operational efficiency, and deliver human-like AI interactions. 

The Challenge

The client required a robust platform combining infrastructure, security, governance, and advanced AI/ML capabilities to manage network provisioning, engineering, service delivery, and assurance efficiently. 

Our Solution

We developed the Digital Network Assistant (DNA), an AI and RPA-driven platform designed to modernize and optimize Verizon’s network operations. 


Key Initiatives:

  • Conducted Current State Assessment and Process Documentation
  • Built a Roadmap for Future Enhancements
  • Selected and Implemented RPA Tools
  • Delivered Iterative Product Development & Application Maintenance
  • Integrated AI/ML and Data Science capabilities
  • Provided RPA Training and Leveraged Emerging Technologies

Technologies Applied: 

  • AI Chatbots & RPA Bots Platform (Dialogflow, UiPath, WebSockets) 
  • NLP (ML/NN-based NLU, Ontology-based NLU, Sentiment Analysis) 
  • Intelligence (Multiturn Dialog Management, Nested Intents, Content Management) 
  • Tooling & Frameworks (Bot Builder, Knowledge AI, Bot Modeling) 
  • Enterprise Services (Compliance, Security, Scaling, Analytics & Reporting) 

Outcomes


500%

increase

in monthly ticket processing capacity 


18%

reduction

in Mean Time to Resolution (MTTR)


22%

reduction

in missed SLAs 


10x

increase

processing speed through containerized services 

Improved customer

experience with intelligent, human-like conversations

Conclusion

Through the Digital Network Assistant, the telecom achieved scalable automation, AI-driven insights, and enhanced service delivery. The platform improved operational efficiency, reduced downtime, and elevated user experience, reinforcing its position as a leader in next-generation network operations. 

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