Authors: Eleanor Watson, Thomas Gray, Chloe Bailey, Ethan Ward, Chaitanya Srinivas, Aneesha Raj
Abstract: The rapid adoption of Artificial Intelligence (AI) is transforming Customer Relationship Management (CRM) from a traditional operational platform into an intelligent, data-driven ecosystem capable of delivering predictive insights, personalized customer experiences, and autonomous decision-making. However, many organizations lack a standardized approach to evaluate their AI readiness and systematically advance their CRM capabilities. This research proposes an Intelligent CRM Maturity Framework for AI-enabled digital enterprises that provides a comprehensive model for assessing organizational maturity across strategic, technological, operational, and governance dimensions. The framework defines progressive maturity levels, beginning with foundational CRM adoption and evolving toward fully autonomous, cognitive CRM ecosystems driven by AI. It incorporates critical assessment areas including AI integration, predictive analytics, intelligent process automation, customer data governance, explainable AI, ethical AI practices, cloud-native architectures, real-time decision intelligence, cybersecurity, regulatory compliance, and continuous innovation. The study further examines the role of emerging technologies such as Large Language Models (LLMs), Generative AI, machine learning, knowledge graphs, conversational AI, intelligent agents, and hyperautomation in enhancing CRM intelligence across sales, marketing, customer service, and executive decision-making processes. Additionally, the proposed framework emphasizes transparency, responsible AI governance, data quality, and security as essential components for sustainable enterprise transformation. By establishing standardized maturity criteria and measurable performance indicators, the framework enables organizations to identify capability gaps, benchmark their current state, prioritize digital transformation initiatives, and optimize AI investments. The proposed model serves as a practical guide for enterprise architects, CRM professionals, business leaders, digital transformation strategists, and researchers seeking to build intelligent, customer-centric, and resilient enterprises capable of adapting to rapidly evolving technological and business environments while achieving improved operational efficiency, enhanced customer engagement, and long-term competitive advantage.
DOI: http://doi.org/10.5281/zenodo.21428659
