Building an AI Framework Strategy for Cognitive Business Assurance

This technical report outlines a six-step framework for implementing a cognitive business assurance strategy tailored for mobile network operators (MNOs). It addresses the challenges faced by organizations in adopting artificial intelligence (AI) within revenue assurance and fraud management (RAFM) functions. The report begins by highlighting the gap between AI ambitions and execution, noting that while a significant percentage of MNOs recognize the potential of AI, many struggle with budget allocation and data readiness. The framework encourages a structured approach to align AI initiatives with business objectives, modernize data management strategies, and operationalize AI-driven controls. Each chapter focuses on specific aspects, such as aligning AI goals with business assurance objectives, designing data management strategies, and deploying AI agents effectively. The report emphasizes the importance of a phased implementation strategy, allowing organizations to validate use cases and scale successful initiatives while maintaining control over their technology investments.