Digital Transformation World 2026 Catalysts
Bring the customer back into the centre of the CSP decision making by addressing proactively and timely their connectivity issues.
This Phase II Catalyst delivers an AI-powered, end-to-end customer experience (CX) intelligence platform that fundamentally realigns telecom network investment, operations, and customer outcomes. Today, CSPs face a persistent disconnect: strong network KPIs reported by technology teams coexist with stagnant NPS, rising churn, and inefficient allocation of over USD 200B in annual CAPEX. Technical excellence alone is no longer sufficient—investment decisions must be guided by the customer’s lived experience.
For more information: AI-powered end-to-end solution for customer experience – Phase II
Moonshot Catalyst - Achieve reliable, holistic autonomy using agentic AI, digital twins and intent-based architecture to drive growth and elevate customer experience.
This catalyst addresses fragmented network autonomy by proposing a transformative shift to reliable, holistic autonomy. This is achieved through our innovative approach to AI and Agentic AI that operate on a common data foundation, ensuring autonomy is not anchored solely in network insights but also in impacts on the end-user experience, and reliability driven by agents for real-time actions and to operate at scale. With this, we achieve zero-touch autonomy through a use case-centered approach to bring tangible business value.
For more information: Autonomy accelerated: Connected intelligence for reliable agentic operations - Phase III
Multi-agent intelligence combined with domain expertise drives autonomous network operations, delivering efficiency, higher availability, and enhanced customer experience at scale.
Multi Agent Intelligence for Packet Core Operations is a Phase 2+ Catalyst project that demonstrates how agentic AI and multi agent collaboration can safely accelerate the journey toward Level 4 Autonomous Networks in one of the most complex and high risk domains: the Packet Core. The project introduces a modular, standards aligned approach that enhances traditional AIOps with contextual reasoning, guided decision making, and human in the loop collaboration.
For more information: Multi-agent intelligence for packet core operations
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