2024 Catalyst Projects

See Innovation Come To Life

At the heart of innovation at Innovate Asia, 10+ 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 are pioneering solutions to propel industry innovation and growth through Open APIs, ODA, AI, and automation.

Experience first-hand their inventive and trailblazing demonstrations. Delve into the challenges tackled, use cases explored, and solutions forged. Connect with these visionaries to discover how you can leverage their achievements to align with your business objectives and advance future outcomes.

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Browse Catalyst Projects

Accelerating telecom’s sustainability journey - Phase II

CSPs are under pressure to reduce Scope 3 emissions by embedding sustainability across every customer interaction. In Phase I, this Catalyst established a conceptual design for a platform that promotes low-carbon choices. Phase II builds on that foundation with a working solution powered by TM Forum Open APIs and genAI to drive sustainable decision-making in real time. This phase focuses on operationalizing carbon visibility in both digital and assisted channels. In digital journeys, the platform uses genAI to suggest lower-emission products, plans, and services based on user preferences. It integrates carbon metadata into product catalogs, so customers can compare environmental impact during checkout or upgrades. Refurbished product promotions, optimization tips, and device take-back signups also feature directly in the flow. In assisted channels, agents receive real-time CO₂ data and intelligent recommendations. They can guide customers toward more sustainable choices using monthly usage reports, charging patterns, and predictive emissions forecasts. This encourages ongoing behaviour change and fosters deeper engagement. To support scalability, the team is expanding TM Forum Open APIs with carbon data fields. This enables standardized integration of emissions insights across systems, laying the groundwork for broader industry collaboration and transparency. The technical delivery of Phase II moves the Catalyst focuses on linking emissions data with commerce, care, and catalogs. CSPs gain tools to influence purchase behavior, reduce environmental impact, and unlock new forms of customer value. This Catalyst demonstrates that sustainability can be more than a reporting obligation. It can become a differentiator—deeply integrated into user journeys and built on industry standards. With a working platform in development, CSPs can finally focus not just on climate goals, but impact too.

URN: C25.0.847

Project details

Growing B2B with autonomous agents

Serving mid-market B2B customers – enterprises with 50-1,000 employees – is a challenge for CSPs. Such customers demand the same level of flexibility and agility as large enterprises, but the approach taken with the largest customers – which often entail manual processes to create bespoke offers – cannot be profitably scaled. This situation only becomes more of a challenge as CSPs look to grow their presence in the B2B space, monetizing advanced network capabilities and bundling partner products and services in order to create tailored solutions for enterprises. The answer to this comes through a generative-AI enhanced lead-to-care process to pivot from a human-agent driven engagement to a customer led journey empowered by Generative AI. GAI agents will enable customers to find relevant products using semantic search, creating customized solutions that meet their specific business requirements, budgets and timelines. These GAI agents will be supported by catalog-driven CPQ, which will enable configuration and rules validation and support seamless end-to-end journeys. The catalyst will utilise cloud-native components from each team member deployed to an ODA canvas as a packaged “ODA in a box” business solution and will show integration to CSPs’ existing BSS/OSS systems using TM Forum Open APIs.

URN: M25.0.797

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AI-powered legacy modernization to ODA

The Open Digital Architecture (ODA) offers a clear path to modernization, but achieving compliance at scale remains a complex challenge—especially for CSPs navigating legacy estates. These environments are often monolithic, outdated, and poorly documented—limiting agility and increasing operational costs. This Catalyst introduces a genAI-powered transformation model that modernizes legacy applications into cloud-native microservices mapped to the ODA framework. The solution provides a step-by-step smart factory approach. First, genAI extracts business logic from legacy codebases. Then, it redesigns applications into modular, ODA-compliant components. Next, the system generates forward engineering artefacts, including Open API definitions, service designs, and test cases. Finally, it supports cloud-native deployment using TM Forum’s Open Digital Framework (ODF). By automating key phases of the modernization lifecycle, the Catalyst reduces manual effort and accelerates delivery. GenAI bridges knowledge gaps by interpreting legacy logic that lacks documentation, and it continuously improves through pattern recognition. This allows CSPs to modernize at scale while improving accuracy and consistency. In addition, the Catalyst helps evolve the ODA component model itself. It maps newly generated microservices and APIs to the latest TM Forum standards. It then feeds insights back into the ODA catalog and supporting broader industry adoption. The approach can create operational efficiency, faster transformation, and stronger compliance. CSPs can decommission legacy systems, adopt new technologies faster, and reduce technical debt. They also improve governance and scalability by aligning modernization with open standards. True success lies in turning complexity into clarity. This Catalyst aims to extract deep business logic from legacy systems, accelerate re-architecture with minimal rework, and produce deployable, standards-aligned microservices—automatically. With a smart, AI-led factory model, it reimagines transformation not as a one-off challenge, but as a scalable, sustainable engine for agility and innovation.

URN: M25.0.780

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Harnessing GenAI's business value for operations transformation - Phase III

As telecoms networks become increasingly complex, CSPs need to employ advanced AI tools to maximize service uptime and enhance customer experience. To that end, this Catalyst is exploring how CSPs can harness generative artificial intelligence (genAI), large language models (LLMs) and digital twins of their networks to improve the efficiency of field maintenance engineering (FME) operations. In particular, the Catalyst is developing an AI assistant for home broadband and mobile broadband FME. It is also using a digital twin to help assess and prioritize service impact and support CSPs’ network operations centers (NOCs). To assist an engineer working in the mobile broadband back office, a genAI agent can automatically analyze a fault’s service impact, root cause and EDNS (expected demand not served) metrics using ‘chain of thought’ reasoning. In the home broadband FME domain, a genAI agent can assist engineers by conducting service troubleshooting, testing and provisioning. The output of the Catalyst is designed to provide a reference for the telecoms industry on how to best make use of genAI, LLM-based co-pilots and digital twins to simplify their network operations. The Catalyst is harnessing the work of multiple standards organizations, including the TM Forum’s frameworks for autonomous operations and networks, TM Forum’s Autonomous Operations Maturity Model (AOMM), and ETSI’s Zero-touch Service Management (ZSM) project. The Catalyst team is employing an evaluate, operate, transfer (EOT) process and value metrics to assess the likely return on investment of genAI solutions. The first step is aligning with the CSP’s C level management to confirm the objectives. The CSP and vendor will then take a top-down approach to establish a key business index, key performance indicators and operations performance metrics. The Catalyst intends to evaluate its impact by measuring the impact on churn, cost savings, revenue and complaints. In a proof of concept, traffic loss was reduced by between 7% and 15%, which could increase a CSP’s revenue by millions of US dollars annually.

URN: C25.0.774

Project details

AI-powered end-to-end solution for customer experience

According to McKinsey, contribution of network experience for customers choosing their network provider or churning is close to 20%. Advancements in AI empower telecom operators to better understand individual customers' network experiences, enabling ROI-maximizing capital allocation and improved reliability. The challenge lies in comprehending usage patterns and connectivity performance from the end-user's perspective, all while optimizing network quality and customer satisfaction within the economic constraints faced by CSPs. To address this challenge, we will collect anonymously real customer connectivity insights 24/7 from end-user devices. To address privacy concerns, we introduce DePIN mechanism, which gives reward for end users. Our data collection methodology is the most sustainable way to collect network performance and quality data tied to real customer experience. It is lightweight and has a very marginal impact on users’ data plan and on the radio access network in terms of added traffic load and energy consumption. Collected insights are correlated with network-based data from access networks, transport layers, and core infrastructure to create an end-to-end holistic view of service delivery. Typical cases include strategic investment planning, proactive quality improvements, cloud diagnostics, and accelerated customer complaint resolution. The AI/ML-powered system automatically identifies performance bottlenecks, detects emerging trends, prioritizes issues based on customer impact severity and makes recommendations. To assure maximum accuracy and extreme automation we applied Digital Twin artefact contributing toward Autonomous Networks Level 4 and for cases where human decision is needed, we provide intuitive GUI utilizing latest XR technology. By addressing connectivity issues proactively rather than reactively and shifting focus from network metrics to customer perception, CSPs can reduce churn, enhance customer satisfaction, and optimize network resources based on real-world usage patterns rather than theoretical models. Let’s bring the customer back into the centre of the CSP decision making by addressing proactively their connectivity issues!

URN: C25.0.845

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BIND: Bridging Intelligence, Networks, and Digital Twin

Executive Summary In a recent benchmark report on Autonomous Networks (AN) involving 111 CSPs, TM Forum asked about the main challenges CSPs face when implement AN. The highest rated was integration across domains. This Catalyst combines the power of data management, AI and telco expertise to demonstrate how Digital Twins and Agentic AI can bridge across data and operational silos, revolutionizing the way networks and services operate. Challenge CSPs are at a crossroads, grappling with profitability challenges in an ever-evolving digital landscape as new technologies and services are introduced. As they seek innovative solutions, one strategy stands out: enhancing network autonomy to boost efficiency, elevate service quality and reduce operational costs. The industry’s vision? A paradigm shift from traditional human-led automation to cutting-edge autonomous networks where systems operate independently (AN Level 4 and above). Technologies such as AI, ML and GenAI are propelling CSPs forward on this transformative journey, but their success depends on bridging across data silos to provide accurate, comprehensive data. Solution Our solution demonstrates how disparate network and service data from inventory and assurance systems can be ingested and stored in a flexible data and AI layer, which is used to proactively identify service impacting issues. Autonomous, GenAI enabled Network Agents address these issues, preempting customers’ complaints by maintaining their service intent. These Network Agents, relying on comprehensive knowledge bases, recommend, simulate and resolve the proactively identified issues. This approach is aligned with TM Forum’s Digital Twin for Digital Intelligence (DT4DI) collaboration and demonstrates how operational efficiency and customer experience can be enhanced by combining Digital Twins and Agentic AI. TM Forum assets This solution uses several TM Forums assets, such as Open APIs (TMF686, TMF639, TMF 642, TMF921, etc.), and guides (IG1307 Digital Twin for Decision Intelligence (DT4DI)). Additionally, it uses Google's recently launched open Agent to Agent (A2A) Protocol, adopted by over 50 organizations, to support agent interoperability. Benefits This solution unlocks numerous benefits for CSPs, their customers and society. * Enhanced service quality and customer experience * Increased autonomy, efficiency and cost savings in operations * Superior reliability for emergency services and the digitalization of society “Innovating to cut operational costs and improve network service quality is essential. Utilizing Digital Twin and Agentic AI technologies to integrate existing fragmented data, we aim to establish autonomous processes capable of proactively identifying and resolving network issues,” explains one of the Project Champions at Vodafone. “This approach is designed to preemptively address potential network problems, thereby preventing any service impact.”

URN: C25.0.775

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InfraVerse: Breaking boundaries for XR sustainability

Telecom infrastructure deployment—especially for rooftop, in-building, and dense urban environments—remains slow, costly, and error-prone. Existing planning methods rely on static blueprints, fragmented site data, and repeated site visits, leading to rework, delays, and missed revenue opportunities. The InfraVerse Catalyst addresses this bottleneck by applying telecom-specific building information modelling (BIM) to digitize the physical deployment process. It integrates drone imagery, AI-driven insight extraction, and genAI automation to transform how CSPs plan, validate, and deploy high-performance infrastructure—particularly in hard-to-serve, high-value areas. The Catalyst combines drone-based data collection, AI, and generative AI (genAI) with a telecom-specific BIM platform. Drones capture detailed visual data. AI then processes this data to extract structural, spatial, and environmental insights. Next, genAI generates critical documents—like EMF assessments, technical drawings, and permit applications—reducing manual work and speeding up compliance. This solution allows virtual site inspections, improves design accuracy, and reduces unnecessary travel. Teams collaborate more effectively using a unified digital model, streamlining deployment and cutting costs. CSPs can plan with greater precision, optimize equipment placement, and deliver stronger indoor and outdoor coverage. The system is scalable and sustainable - it enables energy-efficient design, lowers emissions, and helps meet green building standards. With fewer design errors and faster approvals, CSPs can deploy infrastructure faster, at lower cost, and with better quality control. The InfraVerse Catalyst helps CSPs break free from slow, reactive builds—replacing outdated planning with intelligent, digital-first workflows. The shift brings sharper accuracy, faster deployments, lower costs, and sustainability gains that can’t be ignored. It’s not just better planning—it’s a smarter path to market and a stronger, greener foundation for the networks of tomorrow.

URN: C25.0.802

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AI-enhanced digital twins for best NPS network - Phase II

Customer satisfaction scores are crucial metrics to long-term sustainability in the ultra- competitive telecommunications industry. The GSMA's Mobile Economy 2024 report predicts minimal growth in mobile user penetration – so CSPs must prioritize enhancing customer experience to maintain market share and foster sustainable development. Yet traditional approaches to managing customer satisfaction typically rely on random, small-scale surveys. These are often insufficient for accurately identifying the root causes behind customer dissatisfaction. This Catalyst therefore offers a solution designed to improve vital metrics such as the Net Promoter Score by using advanced AI, digital twin technology, and big data analytics. By combining detailed big data simulations and advanced AI algorithms, CSPs can effectively model and optimize common business scenarios, finding tailored and cost-effective solutions to network challenges. AI-powered digital twins also create accurate virtual replicas of network environments then simulate real-world conditions. This visualization provides real-time, predictive insights and actionable recommendations, giving CSPs deeper, more granular insights into customer behavior and real-time network performance. They are then far better equipped to proactively monitor and manage potential network issues through intelligently automated network optimization. They can also employ sophisticated root cause analysis techniques enhanced by graph computing and big data analytics. These technologies quickly pinpoint specific network problems, facilitating targeted interventions and optimizations to improve network reliability and performance. This solution is expected to improve CSP performance across a wide range of relevant indicators, including: 1. Net Promoter Score 2. Customer churn rate 3. Complaint resolution time 4. Network quality score 5. Marketing conversion rate 6. Service response time 7. Employee satisfaction This approach to customer satisfaction management will create more personalized, responsive, and efficient customer experiences. Ultimately, by enhancing network performance and reliability, it will empower CSPs to better meet evolving customer expectations, ensuring continued competitiveness and market leadership.

URN: C25.0.822

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Generative orchestrator - Automating product and network alignment with GenAI

CSPs face growing pressure to accelerate time-to-market for B2B services. Yet aligning product concepts with orchestration workflows and APIs remains slow and resource-intensive. This Catalyst shows how generative AI (genAI) and GitOps can automate that journey—from idea to deployment—while staying compliant with TM Forum’s Open Digital Architecture (ODA). The solution uses genAI to convert business process diagrams into TMF701 YAML workflows. TMF701 defines how to model and execute service workflows in a standardised way. These YAML files connect directly to TMF633, the service catalog, which stores product and service specifications. The system uses this link to auto-map the right specs to each process. It then discovers relevant TMF641 service order APIs, which handle the execution of service requests. TMF641 ensures consistent order creation and tracking across systems. This removes the need for manual API mapping and integration. Together, these standards allow CSPs to automate orchestration quickly and reliably using an ODA-compliant framework. GitOps pipelines manage the full process. They provide automation, version control, and traceability across environments. The result is a consistent, scalable way to onboard and deploy new offers without hand-coding workflows or duplicating logic. The Catalyst enables CSPs to align network capabilities and supply chains with new products in a matter of days. The goal is to expose a new product specification and structure it into an offer within minutes—using nothing more than a process diagram. This will validate the ability to generate workflows, link catalogs, and trigger API calls in a production-grade environment. By combining genAI with TM Forum specifications, APIs and GitOps principles, the Catalyst provides a modern blueprint for product orchestration. It helps to shift convention from manual configuration to intelligent automation—giving CSPs the speed and control they need to compete.

URN: C25.0.762

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Zero network outages using resilient automation

Major network accidents can result in huge economic losses and have a serious brand impact for CSPs. Such incidents can arise from network architecture corruption, increasing network scale and complexity and APT (advanced persistence threat) attacks. Failures in network security and resilience can lead to regulatory compliance issues, as well as serious business continuity issues, data breaches and millions of dollars in losses. Leveraging advanced technologies, such as AI and digital twins, this Catalyst is developing a comprehensive tool platform to enhance network resilience and address disruptions for operators. The solution comprises two key components. The first component focuses on mitigating risks in network architecture. To identify vulnerabilities, it supports network blueprinting, simulation, analysis and optimization, enabling quick recovery and enhancing network performance. The second component focuses on risks related to network changes. Prior to implementation of the changes, the platform performs configuration verification, simulation and a deployment comparison to prevent disruptions. As the tool platform identifies network risks and configuration faults, operators can optimize the network, according to its suggestions, and reduce the number and impact of network incidents. In the event of a power failure, for example, the operator could switch all services to a redundant path, potentially preventing a prolonged outage that would affect million users. As well as boosting network resilience, the proposed platform should improve operational efficiency and security, ultimately enhancing brand reputation. CSPs AIS and HKT, which are Project Champions of the Catalyst, plan to use the platform to help build level four autonomous networks that are highly resilient and further their business development.

URN: C25.0.773

Project details

Broadband as a Service: The future of wholesale broadband ordering – Phase II

With the rising demand for fast and reliable connectivity, there is a growing need for standardized frameworks to enable efficient and rapid deployment of broadband services. Today, disparate standards for fiber networks and mixed implementations result in delayed deliveries and high costs for service providers. The standardization of APIs in the fiber wholesale ecosystem would deliver interoperability, scalability and simplicity for service providers and network operators alike. To that end, this Catalyst aims to provide a unified API framework to support seamless integration between wholesale fiber providers and retail service providers, regardless of geographic location or technology stack. Building on Phase I, which developed a draft and basic implementation, Phase II of the Catalyst will deliver a working standard which is available on the TM Forum website and consists of an API profile, Open API definition, user documentation and CTK (compliance toolkit). The proposal, which will leverage the latest versions of the TM Forum APIs, will help enable zero-touch automation between access and service providers. It will also lay the foundations for further extension into service provider products to build a common framework for the broadband ecosystem. By standardizing these APIs, the industry can reduce complexities related to vendor compatibility, streamline onboarding processes and facilitate faster delivery of fiber-based services. Standardization will also reduce implementation costs, while still allowing individual vendors to customize for their own individual regional and commercial requirements. In future, the project could be extended to service providers offering products to end users, helping build an ecosystem based on common definitions that further simplify and reduce IT costs.

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URN: C25.0.811

Project details

GenAI-powered cognitive toolkit for network and service management - Phase III

As demand for fixed wireless access (FWA) accelerates—especially in regions with limited fiber infrastructure—CSPs face increasing complexity in scaling AI-driven functions for planning, provisioning, service assurance, and customer engagement. Traditionally, each use case required isolated AI models and infrastructure, limiting agility and increasing costs. This Catalyst provides a unified, production-ready genAI platform-as-a-service (PaaS) as a solution. It is designed to streamline how CSPs deploy, manage, and monetize 5G FWA. This solution centralizes task-specific AI models, large language models (LLMs), and hybrid retrieval-augmented generation (RAG) into a single, orchestrated platform. It builds on prior phases that introduced closed-loop automation, self-healing, and intent-based provisioning. It now applies these into a cohesive PaaS that supports diverse network and customer-facing tasks. The toolkit enables autonomous operation across domains. It detects faults, resolves issues, optimizes traffic, and recommends personalized offers—while reducing manual input and operating costs. Its hybrid RAG engine dynamically selects retrieval paths and applies tailored generation logic per task. This allows specialized models to operate alongside general LLMs with minimal conflict, increasing precision and automation at scale. TM Forum assets, including Open Digital Architecture (ODA) and AIOps frameworks, ensure standards compliance and seamless CSP integration. With this Catalyst, CSPs gain measurable improvements in operational efficiency, customer satisfaction, and monetization. KPIs include reduced mean time to resolution, higher self-healing rates, improved service uptime, and increased revenue from AI-driven offers. For underserved markets, the platform helps close the digital divide by supporting fast, reliable FWA deployments. By centralizing cognitive functions into a flexible, standards-based platform, this Catalyst finally empowers CSPs to scale 5G FWA profitably, accelerate time to market, and lead in AI-native service delivery.

URN: C25.0.790

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