IG1367 AI for Business Assurance v1.0.0

The telecommunications landscape is witnessing an unprecedented transformation, propelled by the rapid integration of Artificial Intelligence (AI). This shift is enhancing the operational roles of Business Assurance (BA) practitioners and underscores the growing importance of AI in this domain. In an era where digital transformation is paramount, incorporating AI into BA practices is no longer optional but necessary. Traditionally focused on safeguarding revenue streams and ensuring billing accuracy, BA can now leverage AI to improve operational efficiency and gain deeper insights, thus enhancing customer engagement.

This whitepaper addresses the urgent need for AI in Business Assurance by presenting a robust methodology tailored for Communication Service Providers (CSPs). It guides CSPs in identifying and implementing AI-driven use cases within their BA frameworks. By leveraging AI, CSPs can enhance their operational efficiency and unlock new revenue streams.  This document details various technologies and key use cases where AI can significantly contribute, emphasizing the importance of practical demonstrations through proof of concepts and catalyst projects to foster wider AI adoption.

 

General Information

Document series: IG1367
Document version: 1.0.0
Status: Team Approved
Document type: Introductory Guide
Team approved: 03-Jul-2024
IPR mode: RAND
Published on: 08-Jul-2024
Date modified: 03-Jul-2024