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

The big deal - Phase III

The Big Deal – Phase 3 builds on the success of the previous Catalyst to tackle one of the most persistent challenges in B2B telecom: the complexity of quoting, configuring, and ordering enterprise services at scale. Despite ongoing digital transformation efforts, many Communication Service Providers (CSPs) still rely on manual quoting processes for complex enterprise deals. This results in slow response times, lost opportunities, unvalidated configurations, costly manual rework, and revenue leakage when orders must be adjusted post‑sale. At the same time, rigid product definitions and inflexible catalogs make automation difficult, turning transformation initiatives into long, expensive programs. What This Catalyst Delivers This Catalyst demonstrates a new, end‑to‑end approach to enterprise product commercialization—moving from manual, error‑prone processes to fully automated, intent‑driven quoting and ordering. At the heart of the solution is a runtime, TM Forum–compliant catalog capable of modeling even the most complex enterprise products and their relationships. By introducing new catalog modeling patterns and AI‑assisted product ingestion, CSPs can rapidly productize offers, automate quoting and fulfillment, and dramatically reduce time‑to‑market and time‑to‑transform. Key Innovations Intent‑driven digital and assisted channels Customers interact through intuitive, intent‑based self‑service channels, while sales teams use advanced solutioning tools for assisted selling—removing complexity from the customer experience. AI‑accelerated product modeling AI ingests existing product specifications and documentation to automatically generate catalog models, enabling rapid onboarding of products and faster transformation of legacy portfolios. Advanced catalog composability and relationships New modeling patterns manage complex dependencies across products and services, providing guardrails for fulfillment and enabling goal‑seeking automation and AI‑driven orchestration. Supplier and access option intelligence A supplier scanner matches customer intent to the best third‑party access options by geography, enabling optimal commercial and technical decisions. One product, many markets A single catalog model supports multiple markets with different currencies, pricing, regulations, languages, and feature availability—dramatically improving global scalability.

URN: C26.0.967

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

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

E2E multi-agent smart network CapEx - Phase III

As operators expand across mobile, FTTH/FWA, transport, and core domains, network planning remains fragmented—driving duplicated CapEx, inefficient asset utilization, and slow, siloed decision-making. This project addresses that challenge by introducing a multi-agent, intent-driven investment orchestration framework that unifies end-to-end planning and transforms how CSPs decide where, when, and how to invest. Building on previous phases, Phase III extends the solution into a cross-domain, AI-powered decision layer that evaluates thousands of rollout scenarios simultaneously, quantifying trade-offs across cost, coverage, and customer experience. By incorporating TM Forum Autonomous Network standards—TMF921 (Intent), TMF785 (Copilot), and TMF939 (Agent APIs)—the Catalyst pioneers a multi-agent architecture where business intents guide optimization, AI agents collaborate to generate investment strategies, and human experts remain in the loop to ensure transparency, governance, and trust. This unified, explainable intelligence allows operators to understand interdependencies across RAN, fiber, and transport networks, unlocking 10–20% CapEx savings, accelerated rollout planning, and measurable improvements in customer experience and ROI. The solution shifts investment planning from a static engineering exercise to a strategic, data-driven process that aligns technical and financial outcomes and advances operators toward intent-driven, autonomous, and financially optimized networks.

URN: C26.0.908

Project details

The butler did it: Turning telco infrastructure into AI services

This Catalyst demonstrates how communications service providers (CSPs) can transform their network, edge, and compute assets into AI-native, outcome-driven services through XAaS (X Agents as a Service). Instead of selling undifferentiated connectivity, CSPs expose “Butlers” — autonomous, agentic services that deliver guaranteed business outcomes by orchestrating 5G/6G networks, core functions, edge cloud, and hyperscale compute. Across verticals such as aviation, logistics, energy, public safety, retail, mining, and transport, Butlers deliver assured outcomes like real-time monitoring, passenger flow optimization, remote operations, and event-driven public safety. Each Butler dynamically combines connectivity, policy control, edge AI, and compute to meet SLA-backed performance targets, enabling enterprises to buy outcomes rather than bandwidth or static network products. The Catalyst addresses a critical industry gap: enterprises are rapidly adopting AI-native operations and demand deterministic outcomes with accountability, while CSPs remain constrained by legacy service creation, assurance, and monetization models. XAaS closes this gap through agentic intent translation, end-to-end orchestration, and outcome-based monetization aligned with TM Forum ODA. This allows CSPs to confidently design, quote, deliver, and monetize AI services using event- and outcome-driven billing. What makes the solution innovative is its shift of AI from an internal efficiency tool to a revenue-generating service layer. Customers pay only when outcomes are achieved, supported by a standardized Agentic Monetization Fabric spanning engagement, integration, commerce, and cloud runtime layers. The inclusion of a non-telco Enterprise Champion further grounds the solution in real buyer needs and validates commercial viability. Success is measured by the ability to shift CSP revenue from low-margin connectivity to high-margin AI services, accelerate time-to-market for new Butler offerings, improve enterprise intent accuracy and fulfillment speed, and increase enterprise adoption, retention, and SLA compliance. Ultimately, the Catalyst positions CSPs to capture the AI value layer and re-establish relevance as trusted providers of assured, AI-native services in the digital economy.

URN: C26.0.966

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

Value-driven agentic AI marketplace for mega events

This Catalyst demonstrates how communications service providers (CSPs) can deliver seamless, high-performance connectivity for mega events through a value-driven, agentic AI Marketplace. Large-scale events span multiple venues and involve complex, multi-vendor environments across stadiums, transport corridors, broadcast hubs, and public spaces. Today, fragmented OSS/BSS processes and manual coordination make it difficult to provision and operate advanced services such as 5G network slices, private networks, DAS, Wi-Fi, and edge computing—leading to delays, SLA breaches, and lost revenue opportunities. The proposed solution introduces a multi-agent AI Marketplace where autonomous AI agents represent vendor capabilities and collaborate under defined policy guardrails. Using TM Forum Open Digital Architecture and Open APIs, agents dynamically compose, order, and operate event-specific connectivity solutions in real time. An agentic orchestrator negotiates bids from domain agents, validates compliance through policy agents, and triggers provisioning across partners, while monitoring agents continuously adapt services to changing conditions such as crowd surges or latency drift. This enables rapid, resilient, and SLA-assured delivery of mission-critical event services. Innovation lies in combining agentic orchestration with marketplace economics. The platform supports usage-based, outcome-based, and subscription monetization models, enabling CSPs to monetize premium slices, edge compute, immersive fan experiences, and data products. Governance and safety guardrails ensure controlled autonomy, with human-in-the-loop oversight for critical decisions. Beyond technology, the Catalyst drives organizational transformation by introducing AI agents as digital co-workers, shifting teams from manual coordination to AI-assisted ecosystem delivery. Success is measured by the ability to orchestrate multi-vendor agents at scale, dramatically reduce provisioning time, maintain broadcast-grade performance, and ensure compliance across dynamic event environments. Ultimately, the Catalyst provides a reusable, standards-based blueprint for CSPs to evolve from connectivity providers into ecosystem orchestrators—unlocking new revenue streams, accelerating time-to-value, and delivering exceptional experiences for event organizers, broadcasters, and fans.

URN: C26.0.970

Project details

Agentic I2O – Intent to outcome

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

Business-aware GNN-healing networks

Introduction Same fault. Different response. Not all network failures carry the same business risk. A performance degradation in a revenue-dense cell serving a financial district represents a materially different operational priority than one in a low-traffic residential zone. Yet today's autonomous networks have no mechanism to express or act on that difference. Isolating contributing factors across RAN, Core, and Cloud remains a manual and siloed process. Every fault enters the same resolution queue regardless of business impact. Business-Aware GNN-Healing Networks changes this. The catalyst introduces a three-layer closed-loop architecture: Business Intent Layer Sequences remediation based on infrastructure business criticality and revenue exposure. Graph Intelligence Layer A Graph Neural Network powered by a Google Cloud Spanner digital twin traverses cross-domain topology to identify remediation branches from a single service-layer trigger. No alarm is required. Execution Layer Vendor-agnostic remediation across any network vendor using WNR-wrapped TM Forum Open APIs. The key innovation is the first Business Intent Extension Model contributed to the TM Forum Intent Ontology (TIO). This provides operators with a standards-based vocabulary to declare which remediation branch executes first when recovery resources are constrained, decoupling business priority from network implementation. The result: same fault, different response. Level-4 autonomy across RAN, Core, and Cloud, with the business layer exploring the boundary of Level-5 through declarative, intent-driven prioritization. Validated with CSP champion data, the catalyst targets: 55% reduction in operational costs MTTR reduced from hours to minutes Protection of revenue at risk in critical coverage zones

URN: C26.0.965

Project details

Cyber twin: Cyber-aware ontology for AIOps

Telecom operators face rapidly escalating cyber risks driven by 5G expansion, cloud-native networks, and massive device connectivity. While Security Operations Centers (SOCs) can detect threats, they lack contextual awareness of network topology, service chains, resource dependencies, and real customer impact. At the same time, Network Operations Centers (NOCs) and SOCs remain siloed, leading to slow threat triage, manual investigations, limited automation, and an inability to support autonomous operations. These challenges are further intensified by regulatory requirements such as NIS2 and DORA, which demand continuous visibility, risk analysis, and operational resilience. The Cyber Twin: Cyber-aware Ontology for AIOps Catalyst introduces a semantic, cyber-aware Digital Twin that provides contextual intelligence across network, service, and security domains. By embedding cyber knowledge into a unified ontology, the Cyber Twin autonomously discovers assets, understands service dependencies, correlates cyber events with network and customer impact, and enables AI-driven reasoning and decision-making. This cyber-aware Digital Twin transforms traditional NOC and SOC operations into a unified, autonomous model capable of closed-loop, context-aware responses. It supports AIOps-ready workflows that improve operational efficiency, enable faster and more accurate threat mitigation, and significantly reduce mean time to repair (MTTR) for network and service degradations, including those caused by security incidents. Ultimately, the Catalyst accelerates operators’ journey toward cyber-resilient autonomous networks while ensuring service continuity, customer trust, and regulatory compliance.

URN: C26.0.963

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.

+11

URN: C26.0.913

Project details

Displaying 1-12 of 28 results