From automation to autonomy: Building AI-native network operations
October 6, 2026
09:00-09:45
Innovate Stage
Autonomous Networks
Opening welcome: From closed loops to autonomous enterprises
As CSPs accelerate towards AI-native operations, the industry is moving beyond isolated automation use cases towards autonomous, intent-driven operational models. This session explores how operators are evolving from traditional OSS automation to AI-native operations that can predict, decide, and act in real time - enabling autonomous assurance, optimization, and decision-making at scale.
As AI begins making operational recommendations and decisions inside telecom environments, CSPs must rethink operational trust, governance, and workforce transformation. This panel explores how operators are introducing AI into live operations - from copilots to autonomous decisioning - and what it takes to run AI-native networks with confidence, balancing speed, risk, and control.
A brief showcase of the latest Autonomous Networks Catalyst innovations demonstrating autonomous assurance, autonomous remediation, multi-agent operational workflows, intent-based orchestration, predictive, zero-touch operations, AI-native operational stacks.
Additional topics covered in this session block may include:
As CSPs accelerate towards AI-native operations, the industry is moving beyond isolated automation use cases towards autonomous, intent-driven operational models. This session explores how operators are evolving from traditional OSS automation to AI-native operations that can predict, decide, and act in real time - enabling autonomous assurance, optimization, and decision-making at scale.
- What changes when operations become AI-native
- How to measure real autonomy (ANLAV and beyond)
- Why trust - not ‘lights out’ - defines Level 4
- What convergence (AN + ODA + AI-native) means in practice
As AI begins making operational recommendations and decisions inside telecom environments, CSPs must rethink operational trust, governance, and workforce transformation. This panel explores how operators are introducing AI into live operations - from copilots to autonomous decisioning - and what it takes to run AI-native networks with confidence, balancing speed, risk, and control.
- Who owns the decision - humans or AI?
- How far can autonomy go without breaking trust?
- What governance looks like in AI-native operations
- What changes for people, not just platforms
A brief showcase of the latest Autonomous Networks Catalyst innovations demonstrating autonomous assurance, autonomous remediation, multi-agent operational workflows, intent-based orchestration, predictive, zero-touch operations, AI-native operational stacks.
Additional topics covered in this session block may include:
- From automation to autonomy: What it takes in production
- From copilots to co-workers: AI agents in network operations
- From detection to action: Scaling autonomous assurance
- Smarter networks, lower power: The rise of energy-autonomous ops

