How Gen AI Technologies created a year of breakthroughs in Network Diagnostics

This past year marked a transformation in network diagnostics for mobile operators and telecommunication providers.

We're proud to share that some of the world's largest telcos have chosen B-Yond's AI powered solution, AGILITY,  to automate their network diagnostics, accelerate troubleshooting workflows and drive improved network availability. This has improved customer satisfaction and reduced pressure on support organizations in ways that were previously deemed impossible.

AGILITY enables four essential use cases for network operators: (1) Automated Test Validation, (2) Incident Co-Pilot,(3)  Proactive Diagnostics, and (4) Real-Time Diagnostics. With AGILITY, operators can now accelerate test cycles, swiftly respond to network incidents, anticipate potential performance issues before they escalate and monitor traffic for failures in real time.

These capabilities are powered by AI in new and innovative ways. From using machine learning (ML) for PCAP analysis, generative AI (GenAI) for enriching data and providing conversational user interfaces (chat), and Active Learning combined with similarity analysis, AGILITY is a powerful solution that protects customer trade secrets and tribal knowledge while optimizing the organizational performance.  

The capabilities are powered by AI. This includes Intent-Based Diagnostics, Active Learning, combined with Similarity Analysis, and A-Chat. This is how AGILITY is able to deliver actionable insights, reduce operational costs, and enable operators to optimize network performance. AGILITY provides remediation steps and suggestions enabling a future where operations is autonomous via Agentic AI (AI Agents).

This article explores AGILITY’s role in transforming pre-production and production challenges into solutions, demonstrating how B-Yond empowers operators to ensure increasingly complex networks have efficient and reliable connectivity.

1. Automated Test Validation: Accelerating Pre-Production Readiness

We begin with Automated Test Validation. In pre-production environments, network operators often face lengthy delays and manual inefficiencies when validating test scenarios.  

Traditional validation methods are not only time-consuming, but also susceptible to human error, leading to misaligned results, increased rework, and costly go-to-market delays. These challenges slow deployment timelines and hinder overall network diagnostics.

This was the case for a Tier-1 European operator that partnered with B-Yond to automate the analysis of network traces generated in lab environments.

The AGILITY Solution

AGILITY helped this operator achieve automated issue classification based on test intent and isolation of failures to core and IMS functions through dynamic topology construction and call flow correlation. In the process, it also uncovered several cases of failures that were previously misclassified as successes.

By automating the analysis of complex network configurations and traffic patterns through machine learning (ML), AGILITY ensures that test cases align seamlessly with intended outcomes. It rapidly identifies anomalies, verifies test results, and provides actionable recommendations for improvement.  

This eliminates errors caused by manual validation and significantly accelerates pre-production testing.

Key Benefits

In the case of this operator, AGILITY was able to:

• Decrease the mean time to Identify failures by 15x (93%).

• Increase testing capacity by 75%.

• Reduce validation time for a failed call flow from 30 minutes (manual) to 1-2 minutes (automated).

• Achieve a 15x boost in operational efficiency.

Key Benefits of Automated Test Validation These achievements highlight AGILITY's ability to streamline pre-production processes, delivering key improvements that drive real operational value through: Faster Deployment: By reducing pre-production validation time, AGILITY accelerates time-to-market for new network services. Enhanced Accuracy: AGILITY ensures precise alignment of test results with test intent by analyzing network traffic to identify anomalies, eliminating human errors and inconsistencies. Significant Cost Savings: By minimizing operational costs through automation, AGILITY reduces the need for manual intervention and rework. With AGILITY’s automated test validation, network operators can achieve faster, error-free deployments while freeing up valuable resources to focus on strategic initiatives. 2. Incident Co-Pilot: Transforming Live Network Incident Management Of course, there’s more to network operations than pre-production environments. Managing live network diagnostics brings its own complexities and challenges.  A US Tier-1 Operator that B-Yond worked with faced time-consuming, inconsistent packet diagnostics that overwhelmed staff and disrupted strategic work.  Group triage sessions (often set up as war rooms) were a common necessity, resulting in disruptions to other planned work and resulting  frustration among top talent. As network problems became more complex, existing probe systems and OSS failed to provide adequate solutions. Inefficiencies like this often lead to delayed incident resolution, increased operational strain, and ultimately, dissatisfied customers—a risk no operator can afford in such a competitive industry. The AGILITY Solution The AGILITY Incident Co-Pilot (a.k.a., Diagnostics Co-Pilot) leverages Generative AI to transform incident triage and management into a faster, smarter, and more reliable process. It uses sophisticated parsing logic to extract attributes from PCAP files, correlate various data flows into complete end-to-end call flows and to dynamically construct network topology. It then uses Machine Learning to determine the root error and root cause. Finally, It leverages Large Language Models (LLM) to enrich the root cause with additional insights and remediation suggestions. It also provides comparative analysis to identify any drift in network behavior or protocol and configuration discrepancies.  Not only did this result in fewer disruptions, it also empowered Tier-2 support engineers with advanced network and packet diagnostics capabilities, enabling accelerated issue resolution and reducing escalations. By analyzing historical data alongside live network traffic, AGILITY provides real-time insights and actionable recommendations to resolve issues efficiently. The AI-driven network diagnostic tools streamline incident response and reduce dependence on senior engineers, enabling teams to work more productively across all skill levels. Key Benefits For the operator we mention above, AGILITY was able to reduce:

• Mean Time to Resolve (MTTR) by 90% for network issues.  

• Network escalations to Tier 2/3 by 47%.  

• Overall night/weekend war rooms and triage sessions.

These results demonstrate a significant shift in network diagnostics, delivering measurable improvements where operators need them most: Faster Incident Resolution: Incident response times improve by up to 40% with AGILITY, minimizing downtime and ensuring consistent service delivery. Optimized Resource Allocation: Junior engineers are equipped to handle tasks previously managed by senior staff, maximizing team productivity and reducing resource strain. Increased Network Reliability: AGILITY’s proactive identification of recurring performance issues prevents future incidents and strengthens overall network resilience. AGILITY empowers operators with the network diagnostic tools they need to resolve incidents quickly, reduce operational bottlenecks, and deliver a more robust network performance to customers. 3. Proactive Diagnostics: Staying Ahead of Problems Improving the time to react and repair network issues is a start, but network operators would prefer to identify and remediate problems before trouble calls begin. Modern networks are incredibly complex, and for high-priority segments, such as VIP customers as well as critical network zones, reactive support models are not enough. Waiting for issues to surface results in service disruptions, frustrated customers, and damaged relationships with top clients. Operators need a proactive approach to detect and address potential problems before they impact service quality. The AGILITY Solution One major telecom provider that struggled with reactive support for their VIP customers uses AGILITY to solve network issues before they become bigger problems for their operations team. The Operator had been looking for AI-driven monitoring and predictive analytics to anticipate network issues in real time.  Traditional observability and fault management solutions weren’t doing enough. AGILITY allowed them to continuously monitor VIP customer call quality by filtering their IMSI on a special VIP list to identify failed call flows from successes using convolution neural network (CNN).  When issues occur, AGILITY automatically diagnoses VIP PCAPs for immediate remediation. AGILITY identifies potential performance issues before VIP customers report them. It analyzes call flow, call quality, network performance metrics, and potential bottlenecks in near real-time, allowing the support team to address problems proactively. Key Benefits What did this achieve for our major telecom customer? The numbers speak for themselves:

• 40% reduction in VIP customer-reported issues

• Average resolution time for VIP customer issues decreased by 60%

• VIP customer satisfaction scores improved by 25%

Key Benefits of Proactive Diagnostics The results speak to a broader impact, driving measurable improvements across key areas: Enhanced Customer Experience: VIP customers receive uninterrupted, high-quality service, ensuring their satisfaction and trust. Improved Operational Efficiency: Proactive resolutions reduce the burden of reactive troubleshooting and crisis management, freeing up resources for higher-value tasks. Stronger Customer Retention: Reliable, consistent service fosters customer loyalty and reduces churn, particularly in high-value segments. With AGILITY’s Proactive Diagnostics, network operators can stay ahead of problems, strengthen customer relationships, and deliver a superior network experience to their highest-value customers. In addition to VIP customers, the solution can be used to monitor a network slice, enterprise customers or a specific network region. 4. Real-Time Diagnostics: Proactive Detection at Scale While high-value customers are often a top priority, every user benefits when networks operate with real-time precision and reliability. In any live network environment, delayed network diagnostics can lead to catastrophic consequences such as prolonged downtime, network connection issues, and customer dissatisfaction.  Traditional diagnostic methods often fail to meet the real-time demands of high-traffic production networks, leaving operators struggling to detect and resolve issues before they escalate. The AGILITY Solution B-Yond’s AGILITY delivers immediate, actionable insights by deploying the AGILITY Failure Detector at the network edge.  This example of advanced network diagnostic tools continuously monitors PCAP streams locally and feeds issue data downstream for in-depth diagnosis, enabling operators to detect, analyze, and resolve issues as they occur.  These real-time capabilities empower operators to maintain network connection, improve responsiveness, and adapt to dynamic network conditions effortlessly.  Key Benefits The result is a network that doesn’t just respond to issues but anticipates and adapts in real time, delivering measurable benefits across performance, scalability, and cost efficiency: Instant Insights: Real-time issue detection allows operators to address problems immediately, minimizing downtime and ensuring seamless performance. Dynamic Adaptability: Continuous monitoring ensures networks can scale and adjust to changing demands with unmatched precision. Cost Efficiency: Faster issue resolution reduces operational costs and mitigates the risk of expensive service disruptions. AGILITY offers operators a complete core network diagnostics solution to monitor continuously, act instantly, and ensure excellent network performance metrics by maintaining stability, adaptability, and resilience even in the most demanding environments. Quality Network Connection Depends on Generative AI These diagnostic tools would be possible without the transformative capabilities of Generative AI.  Not only is Gen AI key to AGILTIY’s ability to address the most complex challenges in network troubleshooting, but it is also fundamentally reshaping how operators manage their networks. At the heart of AGILITY’s success are three groundbreaking solutions that leverage Generative AI to drive efficiency, accuracy, and resilience: 1. Intent-Based Diagnostics AGILITY’s Intent-Based Diagnostics empowers network operators to test and validate network behavior with unmatched precision and efficiency.

• Multi-Call Flow: Validate complex, real-world call flows across lab, pre-production, and live environments to ensure seamless end-to-end functionality.

• Scenario Authoring: Use the intuitive, low-code scenario builder to design custom test scenarios tailored to specific network intents, or leverage industry-standard tests for comprehensive coverage.

• User Interface: A user-friendly interface enables engineers to visualize call flows, track pass/fail outcomes, and identify anomalies with clear, actionable insights.

• API Integration: Integrate seamlessly with existing systems using robust APIs, enabling automation of diagnostics and historical data analysis for streamlined operations.

By aligning test results with intended outcomes, AGILITY eliminates inconsistencies, accelerates pre-production validation, and delivers the actionable insights operators need to ensure network reliability and performance. 2. Dynamic Alignment, Feedback & Active Learning AGILITY’s Adaptive Network Diagnostics is able to transform network diagnostics by combining real-time RCA, historical pattern recognition, and active learning to deliver faster, smarter outcomes.

• Real-Time Multi-Event Analysis: AGILITY processes live data and compares current incidents to historical patterns using advanced sequence alignment algorithms, enabling precise and rapid root cause identification across multi-call flows.

• Feedback-Driven Learning: The system uses active learning to incorporate user feedback, improve prediction accuracy over time and adapt to unseen network patterns. This ensures a continuously evolving diagnostic engine that becomes more effective with every use.

• Simplified Diagnostics: AGILITY streamlines the diagnostic process by filtering out irrelevant data and focusing only on the most relevant events. Engineers can quickly pinpoint connectivity issues without getting overwhelmed by noise or unnecessary details, significantly reducing complexity during network troubleshooting.

By aligning live network issues with historical insights and user-driven feedback, AGILITY creates an intelligent, adaptive network diagnostics framework that minimizes downtime, reduces manual effort, and streamlines operations. 3. A-Chat The idea of using LLM in network operations is not new, but the challenge is to make answers relevant and reliable for operators.  AGILITY’s A-Chat simplifies network troubleshooting and data analysis through an intuitive, natural language-driven conversational interface, making critical, relevant, reliable insights accessible to all.

• Interactive Data Interaction: Operators can query network data directly using natural language inputs like “Show me today’s root cause analysis”, eliminating the need for complex, multi-step navigation.

• Streamlined Data Analysis: A-Chat automates data retrieval and analysis, delivering relevant results instantly and replacing slow, manual processes with speed and precision.

• Personalized Insights: The interface adapts to user preferences over time, tailoring data presentation to align with individual roles and tasks for a more meaningful and efficient experience.

• Seamless Integration: A-Chat integrates across connected systems, ensuring smooth workflows and eliminating silos to improve collaboration and compliance.

By democratizing access to expert insights and automating common queries, A-Chat accelerates network diagnostics, reduces reliance on senior staff, and empowers teams to make faster, more informed decisions. How AGILITY Builds Better Networks What it comes down to is enabling network operators to do more. AGILITY’s AI-powered capabilities are designed to streamline network troubleshooting, automate manual workflows, and deliver actionable insights that empower operators to achieve greater efficiency, reliability, and optimal network performance. AGILITY is a core enabler for AI Agents in that remediation recommendations from AGILITY can be converted into automated actions taken by digital AI agents. The six key capabilities listed below demonstrate how AGILITY enables operators to detect issues faster, simplify diagnostics, and optimize network operations—laying the foundation for smarter, more resilient networks: Six Key Capabilities of AGILITY

Six Key Capabilities of AGILITY 1. Network Diagnostics AGILITY accelerates issue detection and root cause identification by combining machine learning with insights from both standards and customer knowledge. It supports industry-standard frameworks such as 3GPP, IETF, ITU, while adapting to private network needs as required to deliver precise recommendations that minimize downtime and improve network reliability. 2. Network Insights By visualizing end-to-end call flows, network topologies, and protocol data, AGILITY simplifies complex diagnostics. Comparative analysis pinpoints anomalies and inconsistencies quickly, enabling operators to focus on the most critical insights for faster decision-making. 3. Network Analytics AGILITY uncovers patterns and trends across network data to accelerate issue identification. With KPI tracking, high-level summaries, and detailed distribution analysis, it highlights network connectivity issues and emerging anomalies, optimizing network operations. 4. Automation Through seamless integration with third-party systems using the AGILITY SDK, APIs and webhooks, AGILITY automates diagnostics and real-time alerts. Operators receive immediate notifications, while performance monitoring ensures continuous optimization and proactive issue detection. 5. Intent-Based Diagnostics AGILITY ensures that reported test outcomes align with test case requirements by automating validation processes. Prebuilt and customizable scenarios analyze data packets, delivering clear pass/fail results and eliminating manual errors for precise, error-free deployments. 6. Conversational Chat AGILITY simplifies network diagnostics with a natural language-driven interface. Operators can query insights directly—such as “What’s today’s root cause analysis?”—to receive tailored, actionable data instantly, accelerating issue resolution and improving accessibility for all teams. Experience the AGILITY Difference AGILITY’s AI-powered solutions are redefining what’s possible in network diagnostics, helping operators reduce costs, improve network availability and performance, and deliver exceptional service.  If these are goals for your network operations in 2025, let’s discuss your unique challenges and how AGILITY can help you overcome them.

Click here to request a demo today.