Optimizing Decision-Making Processes for a Leading Telecommunications Company in the US

Client Overview

Our client is one of the largest telecommunications companies in the United States, with a long history of providing state-of-the-art communication services to millions of customers. As a major player in the dynamic and rapidly evolving telecom industry, efficient and effective decision-making process is critical to their operations.

Technical Challenge

With the manual implementation of complex business rules, our client struggled with slow, disjointed decision-making that hindered their operational efficiency. They aimed to centralize and organize their business rules to streamline processes and accelerate decision-making. Legacy systems and siloed workflows presented major obstacles.


The key technical objectives were to:

  • Centralize business rules into an accessible, visual interface
  • Develop a scalable execution engine to apply rules consistently
  • Reduce decision-making time by over 50%
  • Decrease development time for new rules by 40%

Our Approach

Analysis & Strategy

We performed an in-depth analysis of current systems and decision flows. With core stakeholders, we mapped out pain points and decision scenarios. This revealed workflow inefficiencies, inconsistent rule applications, and barriers to change management. Our strategy focused on centralizing rules, increasing transparency, and integrating automated execution.

Technical Solution

We designed a streamlined SaaS solution on Azure that aligned with the client’s business requirements:

  • Graphical Business Rules Editor: Built using React and D3.js for visualizing decision trees
  • Administration UI: Manages all rule policies and definitions
  • Serverless APIs: For managing/editing rules
  • Execution Engine API: Developed in Node.js with Azure functions. Utilizes Nools.js rules engine.

The platform provides an intuitive interface for managing rules while enabling reliable, automated execution at scale.


Our agile approach helped overcome cross-team collaboration barriers. With continuous stakeholder input, we iterated based on feedback to deliver the most user-friendly and effective system. Strict QA ensured platform stability and performance.


Performance Metrics

  • Over 60% reduction in decision-making time
  • 53% faster development for new/edited rules
  • 99.95% platform uptime SLA met

Business Impact

  • Increased productivity from accelerated decisions
  • Estimated 40% long-term OpEx savings
  • Faster delivery of new products/services

The streamlined and consistent execution of centralized business rules enabled our client to drive operational efficiency, respond quicker to market changes, and reduce costs.