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

An experience-centric AN L4 solution providing end-to-end user experience assurance

This Catalyst delivers an experience-centric Autonomous Network (AN) Level 4 solution that transforms how Communications Service Providers (CSPs) assure end-to-end user experiences across complex 5G environments. As networks evolve to support increasingly demanding digital services, traditional operations approaches based on network KPIs alone are no longer sufficient to guarantee customer outcomes. The project introduces an intelligent, AI-driven assurance framework that focuses on the quality of experience (QoE) delivered to end users, enabling CSPs to provide differentiated, predictable, and business-critical service experiences at scale. At the heart of the solution is an innovative RAN intelligent agent platform powered by advanced wireless knowledge models, simulation capabilities, and large language model technologies. The platform delivers proactive assurance across the entire service lifecycle, from pre-event planning and prediction through live operational management to post-event evaluation. By leveraging AI-driven resource allocation, predictive analytics, and automated optimisation, the solution enables CSPs to anticipate potential issues before they impact customers, rapidly identify and resolve emerging service degradations, and continuously optimise network performance based on real-time experience insights. The business value of this approach is significant. CSPs can move beyond reactive network management and towards proactive, experience-led operations that improve customer satisfaction, reduce operational costs, and strengthen service differentiation. For enterprise and industry customers, the solution provides more reliable and predictable network performance, supporting critical digital applications and accelerating adoption of advanced 5G-enabled services. The ability to prioritise users and services dynamically also creates opportunities for new premium offerings built around guaranteed experience levels rather than traditional connectivity metrics. Success is measured through tangible operational and business outcomes. The solution delivers predictive fault detection with high accuracy, enabling issues to be addressed before users are impacted. Intelligent root-cause analysis and automated network optimisation reduce service restoration times while maintaining user experience during disruptions. Real-time experience monitoring combined with digital twin simulation provides continuous visibility into network and service performance, helping operators identify high-value investment opportunities, improve return on investment, and build a foundation for autonomous, experience-driven network operations.

URN: C26.5.1022

Project details

Agent-to-agent protocol for telecoms – Phase II: Reliable multi-agent collaboration in the AN-L4 era - Phase II

As communications service providers advance towards AI-driven autonomous networks, trusted collaboration between intelligent agents has become a critical requirement for achieving higher levels of network autonomy. Agent-to-Agent Protocol for Telecoms – Phase II: Reliable Multi-Agent Collaboration in the AN-L4 Era addresses one of the industry's key challenges: enabling AI agents from different vendors and domains to collaborate securely, transparently and reliably within production environments. Building on the foundations established in Phase I, the project enhances telecom-specific Agent-to-Agent (A2A) collaboration by introducing advanced authorisation and observability capabilities that strengthen trust, coordination and governance across complex multi-agent ecosystems. The innovation lies in extending generic A2A protocols with telecom-grade reliability features specifically designed for autonomous network operations. Through the introduction of Authorization-T and Observability-T, the solution delivers fine-grained access control, cross-vendor trust management, comprehensive auditability and end-to-end traceability of agent interactions. Unlike traditional application-layer approaches, these protocol-native enhancements embed security, governance and operational visibility directly into the collaboration framework, aligning with TM Forum Autonomous Network standards and providing a scalable foundation for AN Level 4 multi-agent operations. From a business perspective, the project enables communications service providers to overcome key challenges currently limiting the adoption of AI-powered automation. By providing full audit trails, rapid fault localisation and comprehensive visibility into multi-agent decision-making processes, operators can reduce operational risk, improve compliance and strengthen confidence in autonomous actions. The ability to monitor latency, token consumption and collaboration effectiveness also helps optimise AI operating costs while ensuring predictable performance as agent-based automation scales across increasingly complex network environments. Ultimately, this Catalyst unlocks the commercial potential of agent autonomy by making multi-vendor AI ecosystems secure, trustworthy and operationally manageable. The solution supports faster adoption of autonomous operations, reduces integration complexity and establishes the governance framework required for large-scale multi-agent collaboration. By enabling reliable, standards-based communication and coordination between intelligent agents, the project accelerates the industry's journey towards AN Level 4 autonomous networks while delivering measurable improvements in operational efficiency, resilience and business agility.

URN: C26.5.1023

Project details

Vision 2030: Smart campus network autopilot

As universities accelerate digital transformation, campus networks face growing pressure to support bandwidth-intensive applications, deliver seamless user experiences, and reduce operational complexity. Vision 2030: Smart Campus Network Autopilot addresses these challenges by creating an autonomous smart campus network that combines ultra-broadband connectivity, real-time network visualization, and AI-driven decision-making in a unified platform. The project brings together Wi-Fi 7, digital twin technology, and intelligent network automation to transform how campus networks are managed. By providing up to four times greater bandwidth, immersive visibility into network performance, and AI-powered fault detection and resolution, the solution enables educational institutions to support advanced learning environments, including 4K and VR-based teaching, large-scale research collaboration, and data-intensive academic services. At the heart of the solution is an intelligent network agent that continuously monitors network conditions, identifies issues, recommends actions, and supports autonomous operations. This shifts network management from reactive troubleshooting to proactive optimization, reducing fault identification and recovery times while improving service reliability and operational efficiency. Beyond enhancing connectivity, the project demonstrates how autonomous networks can become strategic enablers of innovation. Intelligent network insights can support sustainability initiatives, optimize energy consumption, and create new opportunities for digital campus services. By aligning with the TM Forum Autonomous Networks Mission and supporting the goals of Saudi Arabia's Vision 2030, the Catalyst showcases how AI-powered networking can help educational institutions build smarter, more resilient, and future-ready campuses.

URN: C26.5.1010

Project details

Agentic token economy: Cost optimization and revenue sharing on an agent interconnection platform

This Catalyst introduces a commercial foundation for the emerging agentic economy, where AI agents act not only as service consumers but also as service providers. As organisations deploy increasingly autonomous, interconnected agents, managing token consumption, service usage and economic accountability becomes a critical challenge. The project addresses this gap by creating an Agent Interconnection Platform that transforms token usage from an opaque infrastructure cost into a transparent, measurable and monetisable business asset, enabling organisations to confidently scale multi-agent ecosystems. At the heart of the innovation is a unified approach to token metering, charging and settlement across heterogeneous AI environments. Rather than tracking usage only at individual model endpoints, the platform captures and correlates consumption across agents, models, tools and providers involved in a complete business transaction. This end-to-end visibility provides enterprises with unprecedented operational transparency, enabling accurate cost allocation, improved governance and full traceability from AI task execution through to commercial outcomes. The Catalyst also introduces intelligent cost optimisation capabilities that help organisations balance performance, quality and expenditure. By incorporating cost-aware orchestration, the platform can dynamically select the most appropriate combination of models, cloud resources, edge environments and agent services based on business requirements and service levels. This reduces unnecessary token consumption and infrastructure costs while maintaining agreed performance objectives, creating a more efficient and sustainable approach to AI operations at scale. Beyond operational efficiency, the project unlocks entirely new business models for communications service providers and ecosystem participants. Flexible charging mechanisms, multi-party revenue sharing and SLA-based pricing allow agent capabilities to be commercialised in ways that extend far beyond traditional pay-per-token approaches. Leveraging TM Forum Open Digital Architecture assets and monetisation standards, the Catalyst demonstrates how CSPs can evolve from connectivity providers into trusted orchestrators of agent marketplaces, creating new revenue streams while enabling a scalable, interoperable and economically sustainable ecosystem for autonomous AI services.

URN: C26.5.1028

Project details

Ontology and digital twin-driven intelligent operations and service delivery

This Catalyst demonstrates how telecommunications providers can transform operations and service delivery through the combined power of ontology, digital twins and Agentic AI. The project creates a real-time digital twin of the cloud-network environment by integrating resource, performance, alarm and traffic data into a single operational view. By unifying business semantics through an ontology-driven framework and enabling AI-powered closed-loop execution, the solution provides a common intelligence layer that allows operations, change management and service delivery teams to work from a consistent and trusted source of truth. The innovation lies in its “3+4+N” semantic intelligence framework. Three foundational capabilities, real-time digital twin mirroring, ontology-based semantic unification and Agentic AI closed-loop automation, support four core business applications: intelligent auditing and remediation, cross-domain root cause analysis, change simulation and compliance validation, and intelligent resource matching with cost estimation. Together, these capabilities move network operations beyond reactive monitoring towards predictive, autonomous and data-driven decision-making, while creating a scalable foundation for future intelligent operations use cases. The solution addresses critical challenges faced by service providers today. Operational teams often struggle with fragmented data sources, inconsistent business semantics and troubleshooting processes that depend heavily on specialist expertise. Change and delivery teams face difficulties predicting the impact of network changes, verifying resource availability and coordinating service provisioning activities across multiple domains. By combining ontology-based reasoning with a live digital twin environment, the Catalyst enables deeper automation, more accurate decision-making and greater reusability of operational knowledge, reducing risk while improving service quality and operational efficiency. Success will be measured through significant improvements in data quality, operational accuracy and delivery performance. The project targets resource accuracy rates of 98%, monitoring completeness of 99%, and cross-domain root cause localisation accuracy exceeding 95%. Change operation accuracy is expected to surpass 98%, while service provisioning, resource configuration and delivery processes are projected to improve by more than 80% across efficiency, accuracy, labour effort and cost metrics. By delivering measurable operational benefits while establishing a foundation for autonomous network operations, this Catalyst showcases a practical pathway towards intelligent, self-optimising telecom networks.

URN: C26.5.1027

Project details

Agentic operations: accelerating telecom autonomy

Agentic Operations: Accelerating Telecom Autonomy is redefining how communications service providers (CSPs) operationalise AI by transforming it from a passive advisory tool into a trusted, production-grade operational engine. While many AI pilots struggle to deliver value in live telecom environments due to hallucinations, limited domain understanding, and a lack of execution trust, this Catalyst introduces an AI-Native Agentic Operations Framework designed specifically for network operations. By combining domain intelligence, simulation-driven decision-making, and autonomous execution, the solution enables CSPs to safely accelerate their journey towards Level 4 Autonomous Networks while delivering measurable business outcomes. The innovation centres on a unique three-layer architecture that connects operational intent, intelligent decision-making, and governed execution into a single closed-loop system. Powered by specialised telecom domain models, Digital Twin Networks, and multi-agent collaboration, the solution allows operational actions to be simulated, validated, and optimised before any changes are applied to live networks. This bridges the long-standing gap between conversational AI and real-world network operations, creating a trusted environment where AI recommendations can move beyond analysis and safely drive action. By leveraging Digital Twin technology and purpose-built telecom intelligence, the Catalyst shifts network management from reactive troubleshooting to proactive, outcome-driven operations. Rather than focusing solely on network KPIs, the framework aligns operational decisions with business objectives such as customer experience, Net Promoter Score (NPS) improvement, and High-Value Customer retention. Automated diagnosis, root-cause analysis, and remediation dramatically reduce manual intervention, compress troubleshooting cycles from hours to seconds, and allow engineers to transition from operational executors to AI supervisors overseeing autonomous workflows. The business value for CSPs is significant. Through rigorous pre-verification, safety control gates, and policy-governed execution, the solution addresses the industry's critical trust and actionability challenge, enabling AI to operate confidently within live production environments. The result is lower operational expenditure, faster resolution times, improved service quality, reduced customer churn, and stronger returns on AI investments. By combining trusted autonomy, operational intelligence, and measurable customer and financial outcomes, Agentic Operations provides a practical blueprint for transforming telecom networks into highly autonomous, business-driven digital platforms.

URN: C26.5.1021

Project details

PRISM-AI Phase III

PRISM-AI Phase III accelerates the telecom industry's journey towards Autonomous Networks by unifying operational assurance, sustainability, and Agentic AI into a single intelligent closed-loop solution. Built on the proven foundation of previous PRISM-AI phases, the project extends beyond fault resolution and service experience management to address one of the industry's most pressing challenges: achieving net-zero objectives while maintaining network reliability and operational efficiency. By transforming sustainability from a reporting activity into a real-time operational capability, PRISM-AI enables communications service providers (CSPs) to improve network performance, reduce costs, and lower carbon emissions simultaneously. At the heart of the innovation is a powerful new approach that uses a single power-domain IoT signal to deliver multiple business outcomes. Telemetry from batteries, rectifiers, cooling systems, and energy consumption not only predicts degradation-based faults before they impact services, but also identifies opportunities for energy optimisation. This eliminates the traditional separation between network operations and ESG initiatives, allowing operators to use the same data source to improve reliability, reduce waste, and achieve measurable sustainability gains. PRISM-AI Phase III also introduces end-to-end multi-domain correlation across Power, Transmission, Edge Cloud and IP networks, addressing one of the biggest operational challenges facing modern NOCs. Instead of generating dozens of disconnected alarms for a single underlying issue, the solution correlates events across domains to identify a single root cause and accurately determine service impact. This significantly reduces alarm noise, accelerates root-cause identification, shortens repair times, and enables operators to move from reactive firefighting towards proactive, autonomous operations with greater confidence and control. The solution is completed by policy-governed Agentic AI, delivering trusted automation with full auditability and regulatory readiness. Autonomous actions are executed through controlled, least-privilege AI agents operating within defined policies and supported by immutable traceability. The result is a practical and trustworthy pathway towards higher Autonomous Networks maturity, where CSPs can reduce operational costs, achieve 15-25% energy savings, lower carbon emissions, minimise SLA breaches, and strengthen customer trust through a single coordinated investment that advances reliability, sustainability, and autonomy together.

URN: C26.5.1011

Project details

Agentic NOC: Model-driven risk prevention at scale

Autonomous Operations for Service Outage Risk Prevention is an innovative Catalyst focused on helping Communications Service Providers (CSPs) prevent network service disruptions before they occur. Rather than relying on traditional reactive operations, the project introduces an AI-native approach that proactively detects potential risks, assesses their business impact and supports intelligent decision-making before customers are affected. By shifting from outage response to outage prevention, the Catalyst enables CSPs to improve network resilience, enhance customer satisfaction and protect critical revenue streams. At the heart of the solution is the combination of Agentic AI, Digital Twin Network (DTN) simulation and advanced domain modelling to create a predictive operational environment. The Digital Twin enables the system to analyse historical and real-time network behaviour, simulate potential downstream impacts and identify service outage risks before they develop into customer-facing incidents. Agentic AI accelerates risk identification and prioritisation at a scale beyond human capability, providing operations teams with actionable insights and recommended remediation actions that enable faster, more informed decision-making. A key innovation of the project is its ability to support autonomous operations without requiring additional human resources or operational overhead. The solution transforms network management into a proactive, predictive and increasingly self-healing operating model, creating a foundation for Level 4 autonomous networks and zero-touch operations. By combining predictive analytics with simulation-driven intelligence, CSPs can reduce dependency on costly emergency responses, minimise human error and build greater confidence in AI-driven operational decision-making. The business value is substantial. CSPs benefit from lower operating costs through reduced troubleshooting and field-dispatch activities, while improved network reliability helps minimise customer complaints, subscriber churn and revenue loss associated with service outages. The ability to prevent disruptions also opens opportunities for premium SLA-backed services and differentiated enterprise offerings, turning network reliability into a competitive advantage. Ultimately, the Catalyst demonstrates how AI-native operations can transform service assurance from a reactive function into a strategic business capability that drives efficiency, customer loyalty and long-term revenue growth.

URN: C26.5.1019

Project details

Autonomy accelerated: Connected intelligence for reliable agentic operations - Phase IV

Autonomy Accelerated: Connected Intelligence for Reliable Agentic Operations – Phase IV explores how communications service providers (CSPs) can deliver the next generation of AI-enabled services that demand guaranteed connectivity, real-time responsiveness and assured service quality. The Catalyst addresses a critical industry challenge: operational silos that prevent CSPs from providing reliable, end-to-end experiences for emerging use cases such as emergency services, remote healthcare, computer vision and AI-powered edge applications. By connecting business, service, network and customer experience domains, the project demonstrates a more intelligent and coordinated approach to autonomous operations. Building on previous phases, the Catalyst extends the use of agentic AI, knowledge graphs and autonomous decision-making across a broader range of operational domains, including the Radio Access Network (RAN). A key innovation is the integration of business intent with service intent, enabling CSPs to capture commercial objectives, automatically translate them into service requirements, validate feasibility and optimise delivery across multiple domains. The addition of a service design assistant further enhances automation, helping accelerate service creation while reducing complexity and manual intervention. The solution combines agentic AI, AIOps, digital twins, knowledge graphs and closed-loop automation within a common data foundation aligned to TM Forum Open Digital Architecture (ODA) and Open APIs. Rather than focusing solely on network performance, the Catalyst enables autonomous decisions driven by business outcomes, customer experience and service objectives. Its continuous learning approach allows operational insights to improve future decision-making, resulting in faster issue resolution, proactive optimisation and greater operational resilience. The business value is significant. By advancing towards Level 4 autonomous operations, CSPs can reduce operational costs, minimise manual effort, accelerate service onboarding and improve SLA compliance. The Catalyst also creates new monetisation opportunities through AI-ready connectivity services, 5G AI slices and differentiated, SLA-backed offerings for enterprise and consumer markets. Ultimately, it provides a practical pathway for CSPs to transform from reactive network operators into intelligent, outcome-driven service providers capable of delivering measurable business value, superior customer experiences and sustainable growth in the AI era.

URN: C26.5.1013

Project details

Connect. Think. Experience.

Project BANYUHAY is pioneering a bold vision for the telecommunications industry through the creation of the world's first Living Telecom Intelligence Platform. Named after the Filipino word for transformation and renewal, the project seeks to move communications service providers (CSPs) beyond autonomous networks towards fully self-evolving enterprises. At its core is the concept of Shared Enterprise Intelligence: a trusted intelligence foundation that brings together data products, knowledge graphs, digital twins, AI agents and TM Forum Open APIs to provide a unified, enterprise-wide view of operations and decision-making. The Catalyst addresses one of the industry's most pressing challenges: fragmented enterprise data. As CSPs increasingly adopt AI-driven operations, many organisations risk scaling disconnected intelligence, where individual AI solutions optimise specific domains but lack the context needed to drive enterprise-wide autonomy. BANYUHAY solves this by establishing a common intelligence layer that enables AI agents to access trusted, explainable and consistent enterprise knowledge across network operations, customer experience, service fulfilment, workforce management and asset management. This allows autonomous decisions to be made with greater confidence, transparency and business relevance. A key innovation of the project is its ability to federate trusted data products into a Telecom Knowledge Graph and Living Digital Twin, creating a continuously evolving representation of the telecom enterprise. Rather than each application or AI agent maintaining its own isolated view of customers, services, assets and networks, BANYUHAY provides a shared context that enables interoperable agents from multiple vendors to collaborate effectively. Built on TM Forum's Open Digital Architecture (ODA), Open APIs and Autonomous Networks best practices, the platform transforms enterprise intelligence into a reusable capability that supports innovation at scale without creating new silos. The business value of BANYUHAY extends far beyond operational efficiency. By providing the trusted foundation required for enterprise-scale AI adoption, the project enables faster service restoration, improved network availability, higher customer satisfaction and more efficient network build and optimisation activities. CSPs benefit from reduced complexity, greater agility and a scalable path toward autonomous enterprise operations, while customers experience more reliable, adaptive and resilient digital services. By establishing a blueprint for trusted enterprise intelligence, BANYUHAY has the potential to accelerate the industry's journey beyond Level 4 autonomy and unlock a new era of AI-enabled business transformation.

URN: C26.5.1018

Project details

Dynamic Sustainable Resource Composability

Agentic AI for Inter-Operator Composability explores how communications service providers can dynamically coordinate and share network resources, infrastructure, and operational capabilities across organisational boundaries. Building on the foundations established through the OmniBOSS Catalyst programme, the project addresses emerging industry needs for secure, standards-based collaboration between operators in scenarios such as capacity sharing, network resilience, emergency response, and security incident management. As networks become increasingly distributed and complex, traditional approaches to coordination are no longer sufficient to deliver the speed, agility, and efficiency required. The Catalyst introduces an innovative agentic AI framework designed to enable intelligent inter-operator composability. By combining AI-driven decision-making with TM Forum standards, trust frameworks, and reusable industry assets, the solution aims to automate and optimise how operators interact, exchange information, and orchestrate services across their networks. This represents a significant step forward for the industry, moving beyond manual coordination processes towards autonomous, trusted collaboration at scale. From a business perspective, the project has the potential to unlock substantial operational and commercial value. Dynamic resource sharing can improve infrastructure utilisation, reduce unnecessary network build costs, and enable faster service restoration during outages or high-demand events. By allowing operators to collaborate more effectively, the solution supports improved customer experiences, greater network resilience, and more efficient capital investment strategies as the industry prepares for next-generation network evolution, including 6G. Success will be measured by demonstrating real-world production feasibility and quantifiable operational improvements. Key indicators include reduced time to restoration, faster fault repair, and enhanced network build-out efficiency. By proving that AI-enabled inter-operator composability can be implemented in a trusted and scalable way, the Catalyst will provide a foundation for future industry adoption and help accelerate the transformation towards more intelligent, collaborative telecommunications ecosystems.

URN: C26.5.1006

Project details

Agentic intelligence exchange: Trusted intelligence commerce - Phase III

Agentic Intelligence Exchange: Trusted Intelligence Commerce - Phase III represents the next evolution of telecom intelligence, moving beyond intelligence creation and sharing to demonstrate how trusted intelligence can be commercialised as a governed digital product. Building on the foundations established in earlier phases, the project will showcase how communications service providers (CSPs) can securely package, publish, discover, and trade intelligence products through a trusted ecosystem while maintaining strict controls around consent, permitted purpose, privacy, and data sovereignty. By creating a repeatable operating model for intelligence commerce, the project aims to unlock entirely new opportunities for collaboration between CSPs and enterprise partners. At its core, the Catalyst introduces an innovative Intelligence Product Commerce Framework that treats intelligence as a marketable asset with clearly defined pricing, quality standards, usage rules, auditability, and service levels. Through an end-to-end commercial journey covering catalogue publication, quotation, ordering, consumption, metering, revenue attribution, settlement, and audit, the project will demonstrate how AI-powered intelligence can be exchanged securely and transparently across multiple organisations. Agentic AI and TM Forum Open APIs provide the foundation for automating decision-making, enforcing governance policies, and ensuring explainable outcomes throughout the process. The business value is significant for both CSPs and enterprises. CSPs can move beyond traditional connectivity services and internal marketing campaigns to become trusted intelligence providers, creating new B2B2X revenue streams without exposing customer data. Enterprise organisations gain access to high-value intelligence products that support fraud prevention, identity verification, customer engagement, and digital trust initiatives through a single, secure integration model. By enabling intelligence consumption across multiple CSPs, the solution also reduces operational complexity, accelerates onboarding, and simplifies commercial relationships across the ecosystem. The project's broader vision is to establish a new category of telecom commerce where intelligence is exchanged as securely and efficiently as network services are today. By demonstrating governance, consent management, policy enforcement, revenue sharing, and quality assurance at scale, Phase III provides a practical blueprint for the future AI economy. The result is a trusted marketplace where CSPs retain sovereignty over their data, enterprises gain actionable intelligence, and ecosystem orchestrators such as Telin can create value by connecting providers and consumers through a secure, commercially viable intelligence exchange.

URN: C26.5.1016

Project details

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