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.