Telecommunications

Govern network, customer, and operational AI as critical infrastructure.

Telecom operators apply AI to network optimization, fraud, and customer operations across vast, interconnected systems where a single model change can ripple through the estate.

Regulatory drivers

Critical-infrastructure and resilience obligations
EU AI Act for high-risk operational and customer-facing AI
GDPR for subscriber data
NIST AI RMF and ISO/IEC 42001 for assurance

The governance challenge

AI is embedded across network and customer platforms with deep interdependencies, but operators lack a unified view of how models, data sources, and services connect — making change impact and risk cascade hard to assess.

Industry example

How it works in practice

An operator governs a network-optimization model and a customer-service agent in AIXYRA. The architecture graph exposes their shared data sources and hosting platforms, and risk propagation shows how a change to one upstream service cascades — so operations can act before a customer-facing incident occurs.

Illustrative scenario. AIXYRA does not imply any specific customer engagement.

How AIXYRA helps

Outcomes for Telecommunications

Map the dependency chain across models, data sources, platforms, and services

Assess change impact and risk cascade across interconnected systems

Run one compliance assessment across multiple frameworks

Maintain ownership and accountability at scale with tag-based governance

Platform capabilities

The AIXYRA capabilities behind this solution

Architecture Dependency Graphs

Interactive 6-layer dependency visualization showing relationships between agents, models, tools, data sources, platforms, and services for complete traceability.

Risk Scoring with Dependency Propagation

Automated risk assessment that propagates scores through the 6-layer architecture dependency chain, revealing how risks cascade across interconnected AI systems.

Platform & Service Catalog

Document platforms and services that host AI workloads, establishing the infrastructure layer of your governance architecture for complete traceability.

Compliance Frameworks

Map AI systems against EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, and custom frameworks with automated assessments and audit-ready evidence.

Tag-Based Governance & Entity Ownership

Flexible tag-based routing for governance approvals and clear entity ownership management, enabling decentralized governance at enterprise scale.

Deployment fit

Hybrid or self-hosted to keep subscriber and network data within operator boundaries.