AGILITY
AI Root Cause Analysis for Telecom Networks
Operators we work with spend less time managing network failures and more time preventing outages and improving service reliability.
Outcomes that free your engineers to actually build.
AGILITY turns packet-level evidence into structured root cause findings for production networks, test labs, and continuous monitoring.
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Diagnostic accuracy across key 5G failure scenarios, validated against operator ground truth
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Reduction in invalid escalations in production NOC environments
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Reduction in war room resolution time
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min
To triage an overnight test campaign that previously took 2 to 3 hours per engineer
the problem
The Pressures on Operators Right Now Are Real and Converging
Network Complexity Is Outpacing Manual Tools
Multi-vendor 5G, edge computing, and IoT have made troubleshooting too large for traditional operations teams.
High-Value Customers Are Churning Too Fast
Subscribers switch providers faster than ever. Reactive customer strategies can no longer retain the accounts that matter most.
5G Investment Is Not Paying Back Fast Enough
Massive 5G investment with limited service differentiation leaves operators struggling to justify CapEx and find new revenue paths.
Legacy Operations Slow Everything Down
Legacy OSS and BSS systems, siloed data, and manual workflows slow decision-making and inflate costs across the value chain.
One Platform.
Built Around Your Operation.
B-Yond's AI platform AGILITY turns data from every layer of your network and business systems into evidence, reasons over it with telecom expertise, and delivers action where it matters most, inside the platforms you already run.
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Every source, one diagnostic layer
RAN, core, transport, BSS, CRM and external sources unified in one layer and decoded into verifiable evidence.
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Reasoning built on telecom expertise
Model-agnostic AI agents grounded in our proprietary telecom knowledge. Every conclusion traces back to the evidence.
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From root cause to next step
Evidence-backed findings and remediation guidance, delivered to your ticketing, alerting and automation systems.
Open by design
Use AGILITY from your own agents and platforms through MCP, A2A and APIs.
the use cases
Results Measured in Production
Every number below comes from a live deployment. Tier-1 operators, production traffic, real incidents. Not benchmarks. Not simulations.
Incident Co-Pilot
Analyzes PCAPs, reconstructs the protocol stack, validates against 3GPP standards, and generates structured diagnostic reports with evidence, sequence diagrams, and remediation guidance.
- Mean time to identify: from hours to minutes
- Invalid escalations reduced by up to 90%
- War room resolution time reduced by 50%
- NOC teams from L1 to L4 working from consistent,evidence-backed diagnostics without senior engineer dependency
Lab Agent
Ingests test results in batch, classifies failures as network defects, false positives, or lab infrastructure issues, and groups repeated root causes to eliminate redundant investigations.
- Failure triage time cut from 2 to 3 hours perengineer to under 15 minutes
- Engineers focused on confirmed defects, not onsorting through noise
- Validation cycles move faster; releases follow
Continuous Validation
Continuously analyzes captures from active probes, detects degradation before customers are affected, and delivers alerts through APIs and webhooks for automatic action.
- Hundreds of automated test suites executed every 5 minutes
- 20 to 30 daily failures validated automaticallywith no manual intervention
- Mean time to identify reduced to seconds fromfirst failure appearance to classified, evidence-backed alert
Deployed. Not Promised.
Modern 4G and 5G networks don't fail simply. When something goes wrong, the evidence is buried in thousands of protocol events across multiple interfaces, and the people qualified to find it are already stretched. Troubleshooting at this scale wasnever designed to depend on one senior engineer with the right instincts and enough hours.
A Deployment Model Built from Real Operator Engagements
AGILITY is already running in production environments at Tier-1 operators worldwide. The path from first conversation to operational value follows a defined program model, one we have run before and continue to refine based on what we learn in each deployment.
Technical Fit Across Cloud and
On-Premises Environments
AGILITY is containerized and Kubernetes-native. Validated on AWS, GCP, Azure, Oracle Cloud, VMware, OpenStack, and bare-metal clusters. It integrates with existing NOC tools, ticketing platforms, and monitoring systems via REST API and webhooks, without requiring operators to replace current infrastructure.
Let's map out what deployment looks like for your environment
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