Case Study
Vodafone Logo
Telecommunications Image AI

AI Accelerated Software Delivery - Forge

Artificial Intelligence
Technology Strategy

In collaboration with SevTech, Vodafone utilised AI-driven development tools to rapidly design, build, and deploy a scalable, cloud-native billing archive solution on AWS.

Overview

Vodafone Ireland, a leading telecommunications provider, sought to modernise its legacy Bill Archive Platform to ensure seamless access to historical billing records for regulatory compliance and customer service efficiency.

Partnering with SevTech, Vodafone leveraged AI-powered software development tools to accelerate the design, development, and deployment of a scalable, cloud-based billing archive system built on AWS.

Challenge

Vodafone’s existing Bill Archive Platform was aging, creating challenges in data retrieval speed, scalability, and regulatory compliance. With millions of billing records to store, ensuring cost efficiency and seamless system migration was critical. Vodafone also needed to minimize business disruptions, ensuring that customer service teams could continue accessing records without downtime during the transition.

Results

  • Faster Deployment: AI-powered development accelerated project timelines.

  • Operational Efficiency: Reduced costs with a serverless, scalable AWS architecture.

  • Seamless Transition: Zero disruptions for customer care agents.

  • Regulatory Compliance: Secure long-term storage with adherence to data retention policies.

  • Future-Ready Solution: AI-driven automation ensures scalability and easy integration of new features.

Solution

SevTech utilised AI-driven development tools to enhance coding efficiency, automate testing, and optimise cloud configurations. The new serverless AWS-powered solution leveraged:

  • AI-enhanced ETL migration to ensure seamless data transfer with minimal downtime.

  • A custom-built web dashboard enabled quick and secure retrieval of archived billing records for care agents.

  • AWS S3 for secure, cost-effective storage. AWS Lambda for automated data ingestion and retrieval. DynamoDB for fast metadata searches.