Abstract
Telecom operators today are facing growing pressure to deliver resilient, high‑quality services while navigating rapidly advancing network technologies and escalating operational complexity. As the industry evolves, Level 4 Autonomous Networks (AN 4.0), in which network management and operations operate with minimal human intervention, are becoming increasingly attainable, enabled by breakthroughs in observability, orchestration, and, especially, agentic AI.
However, in the absence of a clear, structured approach, many telcos initiate isolated automation efforts, inadvertently creating fragmentation and technical debt. This article presents a pragmatic methodology, shaped through Infosys Consulting’s real‑world engagements with leading telecom operators, to guide organizations in defining and executing an effective AN 4.0 strategy and roadmap.
It provides actionable insights tailored to senior stakeholders on the following key questions:
- Where do we start the AN 4.0 journey?
- How do we build the AN 4.0 ROI model?
- How do we prepare for the AN 4.0 journey?
Where to Start the AN 4.0 Journey?
Embarking on the journey toward Level 4 Autonomous Networks can feel overwhelming for many CSPs. The transformation spans far beyond network operations, it demands rethinking end-to-end processes, organizational models, and the underlying technology landscape. To help operators navigate this complexity, a structured and pragmatic starting point is essential. Our experience shows that organizations gain the most clarity when they break the problem into three foundational choices: the operating domain, the process flows, and the technology domain.
Step 1: Select the Operating Domain
4.0 design principles apply across all major network operating domains – planning, fulfillment, assurance, and network lifecycle management. However, selecting the initial focus area is crucial for early success. At Infosys Consulting, we have guided multiple operators through this decision using our 3E prioritization framework:
- E1 – Customer Experience
- E2 – OpEx Economics
- E3 – Technology Evolution
Across these engagements, “Assurance” consistently emerges as the preferred starting domain. It offers clear business value, high automation potential, and strong alignment with AI-driven closed-loop capabilities—making it an ideal foundation for AN 4.0 adoption.
Step 2: Select the Process Flow
Each operating domain consists of several underlying process flows. Within the Assurance domain, this includes fault, performance, and change management. Operators may choose to transform all of them or begin with a subset. Our experience indicates that fault and performance management are typically the highest-priority candidates. Among these, performance management often has the greatest impact because of its direct relevance to proactive and predictive assurance, a defining capability of AN 4.0 systems.
Step 3: Select the Technology Domain
CSP networks are built on a diverse mix of technologies spanning the access, transport, and core layers – 5G, 4G/LTE, fiber, cable, and satellite, supporting a wide range of services including voice, video, data, broadband internet, and transport offerings. Selecting the right technology domain to begin the AN 4.0 transformation is therefore critical. We observe that 5G architectures are inherently aligned with AN design principles, making them the most natural candidate for early adoption. In contrast, legacy technologies such as 4G/LTE, Fiber, cable, and satellite typically require substantial upgrades to fully support AN 4.0 capabilities.
How to Build the AN4.0 ROI Model
One of the most critical questions leaders sponsoring Autonomous Network initiatives face is: What is the ROI?
As networks grow more complex and budgets become increasingly constrained, CFOs and investment committees demand a clear, defensible commercial model before approving large-scale AN4.0 transformation programs. Yet most CSPs struggle with this, as no widely accepted industry framework exists to quantify Level 4 autonomy in absolute financial terms. In our recent engagements, several partner CSPs sought our help to develop a transparent model for calculating the business value of AN4.0, grounded in measurable KPIs and directly tied to operational, technological, and economic outcomes.
To bring structure and predictability to investment decisions, we use a cost-based value framework anchored in four primary cost metrics. Each metric is quantified using two inputs: volume-based activity measures and the per-unit cost of key effective indicators (KEIs) within the relevant process flow, operating domain, and technology domain. Together, these provide a consistent method to estimate value uplift from AN4.0 capabilities.
1. Cost to Operate
This metric reflects the end-to-end cost of managing network incidents or performance degradation. It is driven by operational KEIs related to detection, diagnosis, and resolution lead times. AN4.0 improves these KEIs through advanced operational capabilities, including Network AIOps that cover observability, causal analysis, autonomous decision-making, and closed-loop orchestration, significantly lowering overall operating costs.
2. Cost of Change
As networks and IT systems evolve rapidly, CSPs incur substantial costs to introduce new technologies or modify existing ones. This cost is influenced by KEIs such as the time required to deploy new network or IT capabilities. By enforcing AN4.0 design standards, including service models and standardized abstractions, CSPs can minimize change complexity and optimize the cost of technology evolution.
3. Cost to Manage
This category captures the cost of managing service fulfillment and assurance processes. It is shaped by KEIs such as the mean time to introduce a new service, including its end-to-end provisioning and assurance capabilities. AN4.0 reduces these costs through consistent integration patterns that leverage device models, topology insights, and standard interfaces across network and IT systems, enabling more scalable and automated operations
4. Cost of Truck Rolls
Truck rolls remain one of the most expensive operational activities for CSPs. Key indicators include truck rolls per 100 faults and return visits with “no fault found.” AN4.0 addresses this challenge with AI-driven techniques, including network ontologies and knowledge graphs, enabling highly accurate assessments of truck roll dispatches that significantly reduce unnecessary field dispatches.
As CSPs progress toward higher levels of autonomy, investment requirements naturally grow. Being able to articulate the AN4.0 value – quantitatively, credibly, and consistently – is essential for enabling enterprise-level alignment across CTO, CFO, CIO, and COO functions. A clear ROI model not only strengthens the business case but also accelerates executive approval, ensuring that autonomous network initiatives receive the investment they need to succeed.
How to Prepare for the AN4.0 Journey?
Preparing for an Autonomous Network (AN) Level 4 transformation requires a structured, methodical approach that spans technology, operations, and organizational readiness.
At Infosys Consulting, we have developed a mature methodology that helps CSPs understand their current maturity, establish SMART Key Effective Indicators (KEIs), quantify business value, define required AN4.0 technical capabilities, and ultimately build a comprehensive implementation roadmap. The journey is best approached through three progressive steps.
Step 1: Understand Your Current AN Maturity Level
The foundation of the AN4.0 journey is an accurate understanding of where the organization stands today. This begins with detailed assessment workshops that examine the operating model, core processes, and enabling systems. Leveraging TM Forum’s AN Assessment Framework and AN Scoring Framework, these sessions provide a structured and objective evaluation of current maturity across technical, operational, and business domains. Through a collaborative review of strengths, gaps, and opportunities for improvement, CSPs gain a clear baseline view of their current capabilities. This baseline serves as the cornerstone for designing a credible transformation roadmap and ensuring all stakeholders share a common understanding of the organization’s readiness for autonomous operations.
Step 2: Determine Your Future AN Maturity Level
Once the current maturity is understood, the next step is to determine the organization’s potential future maturity, aligned with TMF’s AN 4.0 standards. This involves analyzing assessment findings to identify specific gaps within processes, systems, and the operating model. By mapping the current state against the Level 4 target state, CSPs gain a clear view of the transformation required to advance autonomy. The outcome is a well-defined, actionable roadmap outlining the initiatives, capability enhancements, technology investments, and organizational changes required to progress toward AN4.0.
This structured plan ensures strong alignment between business objectives, operational performance, and technology evolution, allowing leaders to prioritize investments with confidence.
Step 3: Identify High-Value AN 4.0 Use Cases
The final step is to identify practical, high-value use cases that can deliver measurable benefits and accelerate movement toward Level 4 autonomy. Through focused workshops, organizations identify feasible use cases grounded in Agentic AI Design Principles, ensuring alignment with AN4.0 capabilities, including autonomous decisioning, closed-loop operations, and intelligent orchestration. From this longlist, the most impactful doable use cases are prioritized based on business value, feasibility, and alignment with the target architecture. Each selected use case is then translated into a practical, implementation-ready design, including detailed architectures, functional workflows, and PoC or pilot-ready blueprints supported by sample code.
This step ensures CSPs invest in use cases that are realistic, technically feasible, and tightly aligned with their transformation priorities, ultimately accelerating progress toward autonomous operations.
Conclusion
Level 4 Autonomous Networks (AN4.0) represent a major strategic shift for telecom operators, enabling highly resilient, self-managing networks with minimal human intervention. Enabled by advances in observability, orchestration, and agentic AI, AN4.0 is rapidly moving from vision to reality. Yet many CSPs still struggle due to fragmented automation efforts, unclear ROI, and a lack of an enterprise-wide roadmap.
Infosys Consulting’s experience with global operators shows that successful transformation hinges on three disciplines:
- Start with clarity by selecting the right operating domain, process flows, and technology areas where autonomy can deliver early impact – typically beginning with Assurance.
- Build a credible ROI model using a cost-based framework that quantifies four key metrics – Cost to Operate, Cost of Change, Cost to Manage, and Cost of Truck Rolls – supported by measurable KEIs.
- Prepare the organization holistically through structured maturity assessments, TMF-aligned future-state design, and the prioritization of high-value use cases grounded in agentic AI and closed-loop automation.
AN4.0 is a multi-year evolution that spans technology, operations, and organizational capability. Operators that adopt a structured, value-driven approach can accelerate autonomy, reduce operational costs, enhance customer experience, and strengthen competitive advantage. The path is complex—but the rewards are transformative.
