2025 Catalyst Projects

See innovation come to life

At the heart of innovation at Innovate Asia, 15+ Catalyst projects will debut their groundbreaking innovations live in the expo hall and on the Innovate stage.

Harnessing the collaborative global force of the greatest industry minds from global organizations, our Catalyst project teams will demonstrate their proof-of-concept solutions. Connect with these visionaries to discover how you can leverage their achievements to align with your business objectives and advance future outcomes.

Make sure to add these Catalysts sessions to your agenda:

25 November | 12:30 PM - 1:20 PM: Catalyst Spotlight: Shaping the Future of Autonomous Networks
25 November | 2:30 PM - 3:10 PM: Catalyst Spotlight: Transformation with AI and Data Innovation
25 November | 3:10 PM - 4:00 PM: Catalyst Spotlight: The Power of Composable IT and Ecosystem
26 November | 12:00 PM - 12:40 PM: Catalyst Moonshot Spotlight: AN Level 4 Challenge
26 November | 12:40 PM - 1:10 PM: Catalyst Moonshot Panel: AN Level 4 Challenge

Catalyst Champions include:

Browse Catalyst Projects

AI-powered end-to-end solution for customer experience – Phase II

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. Building on successful Phase I pilots, this project advances to full-scale commercial deployment by making CX the unifying metric across CTO, CMO, operations, and finance functions. The solution introduces the industry’s first fully integrated CX-to-CAPEX intelligence platform, powered by a coordinated multi-agent AI architecture and LLM-based interfaces that democratize complex network and investment data across the organization. The platform fuses real-time OSS network performance, crowdsourced customer experience signals, and predictive traffic forecasts to eliminate siloed decision-making. Agentic AI enables Level 4 autonomous operations—automating detection, root-cause analysis, self-healing, and ROI-ranked investment recommendations—while closed-loop feedback continuously validates post-investment CX improvements. LLM interfaces allow all stakeholders, from customer care to CFOs, to query the system in natural language and receive contextual, business-relevant insights. By shifting from reactive monitoring to proactive value creation, the solution targets 10–15% CAPEX optimization through smarter investment allocation, 30–50% OPEX reduction via AI-driven virtual diagnostics, 30–40% faster mean time to resolution, a 15–20% reduction in network-related churn, and a 5–10 point uplift in NPS. Collectively, these outcomes realign the CSP business engine to drive sustainable growth through superior customer loyalty and operational efficiency. The project is fully aligned with TM Forum’s ODA and Autonomous Networks missions, leveraging TM Forum Open APIs (TMF628, TMF629, TMF638) and contributing learnings to IG1444 on Agentic AI. It demonstrates how AI agents can autonomously optimize not only network performance, but also investment accountability and customer-centric business outcomes at commercial scale.

URN: C26.0.964

Project details

ODA prism: Recommending the ultimate telecom plan - Phase II

Phase II of this Catalyst advances our mission to help telecom providers thrive in an increasingly competitive and fast-moving wireless market. As customer expectations rise and competitive offerings shift rapidly, operators struggle with limited insight, siloed processes, high churn, and slow time-to-market for new plans. It tackles those challenges head-on by delivering a real-time, intelligence-driven solution that personalizes the customer journey and enables operators to recommend the “ultimate plan” for each customer—every time. This phase extends the solution with a more scalable AI-driven architecture aligned to TM Forum’s ODA and Open APIs. The enhanced design supports additional business use cases, strengthens interoperability, and introduces next-best-action capabilities that benefit both telecom providers and their customers. At its core, ODA prism unifies disconnected value streams through a catalog-driven, P-S-R-aligned architecture and advanced customer intelligence. By combining real-time decisioning, journey orchestration, and Product-Based modeling, the solution predicts churn, identifies key moments for upsell and cross-sell, accelerates offer launch, and ensures internal and external compliance for rapid go-to-market execution. Gen-AI and Agentic AI further enhance decision accuracy with domain-specific reasoning and generative insights. Proven use cases—including personalized acquisition, price and plan optimization, and proactive churn management—demonstrate how the solution boosts customer satisfaction, increases ARPU, and strengthens lifetime value. Success will be measured by reductions in churn, increased revenue per customer, improved personalization across value chains, operational efficiencies, and dramatically faster speed to market. Ultimately, ODA prism equips operators with the intelligence and agility required to meet evolving customer needs, outperform competitors, and drive sustained business growth in the next era of wireless communications.

URN: C26.0.917

Project details

Autonomy accelerated: Intent to impact - Phase III

This Catalyst advances our mission to overcome fragmented network autonomy by shifting CSPs toward reliable, holistic, and explainable autonomous operations. Building on earlier phases, this phase captures human expertise to train smarter agents, strengthens AI trust through real-world learning, and enables seamless communication across OSS, BSS, and service management layers. In this phase, autonomy extends beyond network operations into service management—including incidents, problems, configuration changes, and closed-loop learning—breaking traditional silos and providing true end-to-end visibility. By linking autonomous networks with AI-driven BSS, the Catalyst also accelerates B2B sales for high-value 5G services. Intelligent need identification, automated intent validation, guided deal closure, and MCP-powered AI assistants streamline the entire sales journey while ensuring offerings are technically and commercially optimal. This integrated approach delivers measurable business impact: unified decision-making across domains, improved customer experience, reduced operational effort, and superior, differentiated connectivity for enterprises. A common data foundation and knowledge-graph-powered reasoning enable wider impact analysis, proactive intelligence, and “zero-touch” services for end users. Value will be demonstrated through an outcomes-focused KEI dashboard that connects autonomy to tangible business results. Phase III introduces key innovations, including cross-layer agent communication, learning from operator know-how, service-aware autonomous workflows, and expanded autonomy across design, delivery, assurance, and change. The result is a scalable, standards-based model—grounded in TM Forum Open APIs, ODA, and intent-based principles—that helps CSPs transition from reactive processes to predictive, customer-centric, and fully autonomous operations. Ultimately, Autonomy accelerated: Intent to impact - Phase III provides CSPs with a practical path to holistic autonomy: improving agility, reducing OpEx, boosting B2B sales velocity, enabling Dark NOCs, and continuously refining decisions with full operational context.

URN: C26.0.938

Project details

CX optimization via AI-driven SOC over autonomous networks - Phase II

CX Optimization via AI-Driven SOC over Autonomous Networks – Phase II advances the industry’s ability to deliver consistently superior customer experience by transforming network operations from reactive support into a proactive, autonomous, and continuously optimized capability. Building on the outcomes of Phase I, this Catalyst enhances OODA-based operational architectures by introducing Digital Twins and intent-led AI agents into both the execution and analysis of Closed-Loop Automations (CLAs). In highly competitive markets, CSP differentiation increasingly depends on service quality, reliability, and the ability to anticipate and prevent customer-impacting issues. Traditional operational models struggle to manage the growing complexity of autonomous networks, often reacting to problems only after customer experience has degraded. This Catalyst directly addresses that gap by enabling predictive, intent-driven CX optimization that improves Net Promoter Score (NPS), service consistency, and operational efficiency. Phase II extends the previous solution by embedding AI agents across the full CLA lifecycle. In the first innovation layer, CLAs defined by agents, intent-based AI continuously evaluates and evolves automation logic using insights from a Knowledge Engine and simulations in Digital Twins. This ensures that automation strategies remain effective as network conditions, services, and customer expectations change. In the second layer, agents as part of CLAs, AI agents actively participate in decision-making and execution, formulating remediation plans in response to live network events, validating them through Digital Twin simulations, and iteratively refining actions before safe deployment. Successful strategies are fed back into the Knowledge Engine, enabling continuous learning and optimization. Aligned with TM Forum Open Digital Architecture (ODA), the VOF framework, and Autonomous Networks principles, the solution ensures scalability, interoperability, and measurable business value. Success is assessed through CX-centric and autonomy-driven KPIs, including improvements in NPS, perceived service quality, service stability, and customer-centric resolution times, alongside increased levels of network autonomy and reduced operational effort. By combining Digital Twins, intent-led AI agents, and closed-loop learning, this Catalyst establishes a robust blueprint for AI-driven Service Operations Centers (SOCs). It enables CSPs to systematically predict, prevent, and resolve CX issues before customers are impacted—delivering seamless, reliable, and high-quality connectivity experiences while accelerating the journey toward truly autonomous networks

URN: C26.0.937

Project details

Spatial web: Open gateway to the immersive future - Phase II

The next phase of this Catalyst advances a breakthrough industry initiative aimed at unlocking the true value of Extended Reality (XR) for Communication Service Providers (CSPs). Today, CSPs capture just 0.15% of a fast-growing $589B XR market, largely because developers lack a standardized way to access real-time network context—such as QoS, location, or identity—needed to create high-quality immersive experiences. This integration friction keeps CSP capabilities hidden and limits the growth of the Spatial Web ecosystem. Building on the foundations of Phase I and the Economy of Anchors for AR/MR, Phase II introduces the next pillar of the Spatial Web: a mixed-reality anchor economy that enables persistent, monetizable spatial experiences shared across public networks. The project combines TM Forum Open Gateway APIs, TMF Operate business logic patterns, and a proposed Decentralized Spatial Web Standard Protocol (DSSP) to transform proprietary network assets into consumable, high-value contextual services. The DSSP provides the common protocol the market lacks, standardizing how spatial nodes federate across platforms so enriched digital anchors can scale globally. This innovative framework shifts the value model from connectivity to context, enabling hyper-personalized, real-time spatial experiences and frictionless developer participation. By reducing integration costs, accelerating time to market, and establishing universal interfaces for contextual data, the project positions CSPs as central players in a Spatial Web market projected to surpass $470B by 2030. Success will be measured by increased adoption of context-aware APIs, developer uptake, API monetization velocity, and growth in high-margin, non-connectivity revenue. Phase II ultimately demonstrates how standardized network exposure and spatial protocols can unlock the immersive future—and the new value it promises for operators, developers, and users alike.

URN: C26.0.922

Project details

AI-powered supply chain and new revenue opportunities with satellite–mobile convergence - Phase III

Global supply chains are becoming increasingly complex, distributed, and vulnerable to disruption. At the same time, CSPs are exploring new ways to extend their role in enterprise ecosystems and unlock new revenue streams. The AI-Powered Supply Chain and New Revenue Opportunities with Satellite–Mobile Convergence project demonstrates how combining terrestrial and non-terrestrial networks with advanced AI can reshape end-to-end supply chain visibility and orchestration. Building on the foundations of previous Catalyst work (UNITe), this project shows how satellite connectivity, mobile networks, and intelligent edge capabilities can be unified into a seamless service layer that supports real-time tracking, situational awareness, and predictive decisioning for global logistics. AI agents analyse multimodal data—across air, land, and sea—to detect risks, anticipate delays, and recommend optimizations that keep goods moving efficiently. By bringing together supply chain actors and CSP capabilities, the Catalyst illustrates how telecom operators can evolve from connectivity providers into strategic value partners, offering differentiated services such as intelligent logistics assurance, AI-powered monitoring, and new satellite-enabled enterprise offerings. Through this converged architecture, CSPs can capture new market opportunities while enabling more resilient, responsive, and sustainable global supply chains.

URN: C26.0.953

Project details

Game X: Growth through autonomous management ecosystem delivering customer-centric experience - Phase II

Game X - Phase II builds on the success of Phase I, where we demonstrated “zero-wait, zero-touch, zero-trouble” operations and a 30% reduction in OpEx through intent-driven autonomy, to address one of the most significant market shifts of the decade: the explosive rise of AI workloads. As AI becomes a top IT investment priority and is projected to dominate global network traffic, CSPs must evolve beyond pure connectivity. Phase II introduces a new vertical, Artificial Intelligence Network Services, positioning service providers as essential enablers in the multi-trillion-dollar AI economy. Leveraging TMF921 Intent Management APIs, digital twin–based planning, and advanced closed-loop automation, the Catalyst defines a new category of services optimized for AI-driven applications and agent traffic—particularly across distributed training, inference, and WAN AI flows. At the heart of Phase II is a Two-Layer Agentic Architecture. The Demand Layer represents customer-side AI agents that require more than bandwidth—they need inference SLAs, edge model access, GPU-as-a-Service, and ultra-low latency connections. The Supply Layer represents the CSP’s autonomous network, dynamically provisioning AI-optimized slices and compute resources. TMF921 acts as the universal translation layer connecting intent to action, enabling AI applications to request outcomes (“<10ms latency visual recognition”) that the network autonomously fulfills through zero-touch orchestration. New “Agentic Assurance” closed loops continuously monitor AI KPIs, adapt configurations, and preserve model performance—delivering both superior customer experience and operational efficiency. By integrating autonomous operations with AI workload needs, Game X Phase II shows how CSPs can claim a differentiated role in the AI value chain, offering hyper-personalized, monetizable services instead of remaining best-effort transport providers. The Catalyst will define new AI service ontologies and introduce AI-focused KPIs to measure success, demonstrating how service providers can reuse TM Forum standards and autonomous capabilities to unlock new revenue, deliver predictable performance for critical AI applications, and secure a strategic position in the evolving AI market.

URN: C26.0.952

Project details

Intent driven IT for network products

Intent Driven IT for Network Products transforms how enterprises and communications service providers request, deliver, and assure advanced connectivity services. Instead of translating business needs into complex technical specifications, customers simply express their intent in natural language. Powered by GenAI and TM Forum intent models, the solution instantly validates feasibility, orchestrates fulfillment, and continuously assures service performance—closing the gap between business outcomes and network reality. Built on TM Forum Open APIs and standards including TMF921, TMF641, TMF645, TMF642, and TR290A/B, the Catalyst translates business intent into actionable service requests and probes real-time network, location, and customer experience data to determine deliverability within seconds. When constraints exist, the platform dynamically proposes optimized alternatives, ensuring the best achievable outcome while maintaining transparency with the customer. Once activated, closed-loop automation continuously monitors service performance against the agreed intent and autonomously triggers corrective actions, significantly reducing incidents, mean time to repair, and operational effort. This programmable, API-first architecture aligns with Open Digital Architecture (ODA) principles and supports new commercial models such as on-demand services and API-based consumption. By removing manual handoffs, reducing technical complexity, and accelerating time-to-activate from weeks to hours, the Catalyst directly addresses key industry pain points—slow service delivery, limited agility, high operational costs, and fragmented customer experiences. It also directly supports Telstra’s Connected Future 30 (CF30) strategy to treat the network as a product: autonomous, software-driven, and simple to consume. The result is a truly customer-centric, intent-driven service experience that improves agility, lowers costs, enhances customer satisfaction, and establishes a scalable foundation for the next era of digital connectivity—setting a new benchmark for intent-driven IT and network product delivery in telecom and beyond.

URN: C26.0.944

Project details

AI-driven network automation for traffic and service resilience - Phase III

Phase III of this Catalyst advances the journey toward fully autonomous, zero-touch network operations that can predict failures, optimize resources, and respond instantly to customer and service needs. The project empowers CSPs to deliver high-performance, energy-efficient, and resilient networks while enabling new revenue streams through flexible, programmable offerings that combine network, device, service, and security capabilities within platform-based, B2B2X business models. Building on the foundations laid in earlier phases, this iteration introduces a cloud-native, Kubernetes-based architecture designed for horizontal and vertical scaling across CSP, hyperscaler, and enterprise environments—now enhanced with robust data governance. This modernized foundation accelerates the transition to autonomous operations, ensuring networks can adapt dynamically across multi-domain environments. The Catalyst directly addresses critical industry pain points: increasing service demands, sustainability pressures, rising operational costs, and the heavy impact of major outages such as the early-2025 fiber disruptions in Spain or the nationwide cellular outage in Canada. By enabling networks to self-diagnose, predict failures, and reroute traffic in real time, the solution improves service continuity, prevents revenue loss, and strengthens customer trust. It also equips operators to rapidly pinpoint root causes across ecosystem partners—a necessity in today’s B2B2X service chains. Innovating beyond traditional automation, the solution applies Generative AI, LLMs, and digital twins to power autonomous, intent-based management across optical, 5G, and cloud-edge domains. Automated capabilities include fault detection and resolution, real-time topology visualization, capacity planning, and multi-domain orchestration, all aligned with TM Forum’s Open Digital Architecture for seamless interoperability. Multi-party process automation further enables faster collaboration across CSPs, hyperscalers, and solution partners during defect resolution. By redefining network resilience and operational intelligence, Phase III accelerates innovation, reduces MTTR and OPEX, and improves SLA performance. Success will be quantified through improved traffic and service resilience, operational efficiency, faster time-to-market, reduced incidents and energy consumption, and new monetization opportunities—such as Connectivity-as-a-Service in a CAMARA-enabled partner ecosystem.

URN: C26.0.913

Project details

Improving NPS beyond CEI’s network quality indicators with agentic AI

Improving NPS Beyond CEI’s Network Quality Indicators with Agentic AI addresses a fundamental gap in how CSPs measure and act on customer experience. While Customer Experience Index (CEI) derived from network quality metrics offers high-frequency, universal insight, the true business KPI for customer loyalty and decision-making remains Net Promoter Score (NPS), which is limited by survey scope and cadence. The relationship between CEI and NPS is real—but not direct. This Catalyst explores how NPS can be more accurately estimated and improved by combining CEI with additional business and operational factors that strongly influence customer perception, including customer care interactions, incident handling, service onboarding, and lifecycle management. By correlating network data with customer service and operational signals, the project moves beyond network-only models to deliver a more holistic and actionable view of customer experience. The solution applies AI and agentic capabilities, aligned with Autonomous Networks principles, across three core use cases: intent-driven service onboarding, proactive and personalized customer care, and service lifecycle optimization supported by coverage digital twins. Agentic AI enables continuous correlation, KPI-driver extraction, and closed-loop optimization to proactively improve NPS rather than react to survey results after the fact. Grounded in TM Forum best practices, the Catalyst leverages the IG1394 Telco NPS Management Framework to support product, service, and network NPS collection, correlation, and optimization in controlled automation scenarios. Success is measured through improved accuracy of NPS estimation, identification of key drivers by customer archetype, measurable NPS uplift across targeted use cases, reduced churn, and increased levels of autonomous, cross-domain operation. The outcome is a scalable, standards-aligned approach that helps CSPs translate rich network and operational data into meaningful customer loyalty improvements—bridging the gap between technical performance and true customer experience.

URN: C26.0.935

Project details

GenAI proactive customer care: AI realm agentic driven architecture - Phase II

Building on the success of the previous Catalyst “GenAI Proactive Customer Care for 5G Monetization”, this phase advances the solution into a more trustworthy, governed, and enterprise-ready AI framework for customer experience operations. As CSPs adopt GenAI to drive proactive engagement, personalised recommendations, and automated care journeys, they face critical questions around AI risk, transparency, data integrity, and customer trust. This project addresses those challenges by integrating AI governance, explainability, and responsible automation safeguards into the proactive care model. The enhanced platform helps CSPs: * Ensure AI-driven decisions are auditable, explainable, and bias-mitigated * Build customer confidence through transparent and trusted AI interactions * Enable operations teams to monitor and manage AI risks in real time * Strengthen 5G and digital service monetization with smarter, safer personalised care By taking a holistic view of AI risk, trust, ethics, and performance, this Catalyst equips CSPs with a responsible GenAI blueprint that scales confidently from PoC to production. It establishes the foundation for future autonomous care systems while ensuring operators maintain full control, oversight, and brand trust.

URN: C26.0.928

Project details

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