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

The big deal - Phase II

The Big Deal – Phase II 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

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

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

Perception driven broadband network energy efficiency solution

The Perception-Driven Broadband Network Energy Efficiency Solution addresses one of the most critical challenges facing the broadband industry: how to reduce rapidly rising energy consumption and carbon emissions without compromising network performance, user experience, or computing power quality. Bringing together operators, equipment vendors, IDC service providers, and research institutions, the Catalyst delivers a coordinated, end-to-end approach to green and sustainable digital infrastructure. As 5G base station deployments scale and data centers and intelligent computing facilities become primary drivers of electricity demand, the industry faces an “energy consumption triangle”: surging energy costs, fragmented optimization across network and data center domains, and energy-saving measures that often degrade service quality. This Catalyst responds by introducing a new paradigm of experience-oriented energy efficiency, enabling energy conservation that is driven by real-time service perception and system-level optimization rather than isolated, component-level controls. The solution is built on one unified framework and three scenario-specific pillars. A network-computing-energy synergy framework establishes a global, end-to-end energy efficiency model spanning user terminals, access and transmission networks, cloud data centers, and intelligent computing centers. Energy management is deeply integrated with service and computing-power scheduling, allowing optimization decisions to be made at the system level rather than within individual silos. Three precision pillars address the industry’s highest energy-consumption scenarios. For 5G/4G base stations, AI-driven service awareness and traffic prediction dynamically adjust antenna power, carrier activation, and symbol-level shutdown strategies, achieving cell-, user-, and service-level energy savings while preserving high-value service experience. For traditional data centers, advanced cooling technologies combined with AI-based load-to-cooling coordination drive PUE toward best-in-class levels below 1.2. For intelligent computing data centers, elastic and green AIDC architectures optimize computing, cooling, and airflow, and schedule non-urgent training workloads during off-peak periods to maximize green energy usage and reduce energy consumption per computing task. Success is measured through tangible business and sustainability outcomes: 15–25% reduction in 5G base station energy consumption, data center PUE optimized to below 1.3, and 10–15% lower unit energy consumption in intelligent computing centers—all while ensuring high-value service KPIs degrade by less than 5%. At scale, the solution is expected to reduce annual carbon emissions by more than one million tons, directly supporting dual-carbon goals. By aligning energy efficiency with user experience and computing quality, this Catalyst establishes a scalable, perception-driven blueprint for the green and low-carbon transformation of broadband networks—enabling sustainable growth for the digital infrastructure of the future.

URN: C26.0.979

Project details

Zero-trust agents: Vendor-neutral agent runtime for autonomous networks

Zero-Trust Agents: Vendor-Neutral Agent Runtime for Autonomous Networks addresses one of the most critical barriers to production-grade Autonomous Networks: trust, security, and explainability of agentic systems at runtime. As CSPs progress toward Level-4 Autonomous Networks, the challenge is no longer whether agents can automate complex decisions, but whether operators can prove who acted, under which identity, within which policy boundaries, and why. This Catalyst proposes a reusable, vendor-neutral zero-trust runtime pattern that delivers exactly that assurance. The project defines and demonstrates a secure runtime fabric where every agent, tool, and AI model operates under a verifiable workload “birth certificate,” with signed lineage preserved across agent-to-agent interactions. Composite identity trust chains span agents, tools, LLMs, and OSS/BSS systems, while policy enforcement points apply default-deny and least-privilege controls to every interaction—regardless of whether workloads run on local GPUs, public cloud endpoints, or existing OSS platforms. Informed by the draft TM Forum IG1463 guidance on agentic threats and controls, the Catalyst moves beyond theory by testing these principles in realistic Autonomous Network scenarios such as cross-domain capacity optimization and hyper-personalized services. All runtime behavior is captured via OpenTelemetry and surfaced through an explanation view that enables CTIO and security teams to reconstruct and audit end-to-end agent workflows. The outcome is a practical, installable reference pattern that CSPs, vendors, and partners can adopt as they transition from isolated AI pilots to production-grade agent workflows. By linking zero-trust controls directly to runtime evidence and explainability, the Catalyst provides a safer, faster, and more repeatable path to scaling Autonomous Networks—while feeding real-world insights back into TM Forum standards development.

URN: C26.0.933

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

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

Wholesale broadband as a service: The future of service assurance - Phase III

This Catalyst project completes the Wholesale Broadband as a Service vision by standardising and automating service assurance interactions between Network Providers (NetCos) and Service Providers (ServCos). Building on the success of earlier phases that focused on wholesale broadband ordering, Phase III addresses the critical in‑life operational layer: fault, outage, service quality, and service test management. The project delivers a digitised, API‑driven, and globally reusable service assurance framework, aligned with TM Forum’s Open Digital Architecture (ODA) and Open APIs. By defining consistent, standardised interactions for wholesale broadband assurance, CSPs can significantly reduce design and integration effort, accelerate implementation, and lower operational costs. Vendors benefit from reduced development complexity and easier interoperability, while end customers experience faster fault resolution and improved service quality. Focusing on real‑world wholesale broadband use cases, the solution enables CSPs to operate faster, cheaper, and more effectively—unlocking new business opportunities and delivering a better overall customer experience through improved service assurance performance.

URN: C26.0.988

Project details

Agentic-AI powered autonomous billing dispute management

Billing disputes such as bill shock, invoice errors, and partner charge discrepancies remain one of the most manual, time-consuming, and inconsistent processes in telecom operations. Slow resolution, repetitive investigations, and human error drive customer dissatisfaction, increase churn risk, and lead to revenue leakage and high operational costs. The Agentic-AI Powered Autonomous Billing Dispute Management Catalyst introduces a lightweight, multi-agent AI solution that automates the end-to-end dispute lifecycle—from proactive detection to resolution execution. Leveraging agentic AI, the solution ensures data-backed, consistent decision-making while balancing speed, compliance, and human oversight. The platform proactively detects billing anomalies and potential disputes before customers escalate issues. It supports frictionless, omnichannel intake of complaints across chat, email, and voice, and performs autonomous root-cause analysis by correlating invoice data, billing records, mediation outputs, and partner charges. Based on this analysis, the system intelligently proposes resolutions—such as credits, adjustments, or rollbacks—and uses aggregate confidence scoring to either auto-execute actions or route them to a human-in-the-loop for approval. Built on a multi-agent architecture and integrated with BSS systems via TM Forum Open APIs, the Catalyst demonstrates how dispute management can shift from manual case handling to governed, autonomous workflows. Success is measured through improved detection and resolution accuracy, reduced handling time, higher automation and first-contact resolution rates, improved customer satisfaction, lower operational costs, and stronger revenue protection. By transforming billing dispute management into an intelligent, auditable, and autonomous capability, the Catalyst helps CSPs enh

URN: C26.0.950

Project details

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