17 - 19 November, 2026
Bangkok, Thailand
Autonomy without borders: Taking Level 4 cross domain
November 17, 2026
13:45-15:30
Impact stage
Autonomous Networks
Autonomous operations
Session overview: As operators scale towards TM Forum Level 4 autonomy, success increasingly depends on orchestrating intelligence across multiple network domains rather than automating them in isolation. This session explores how CSPs are integrating AI agents, digital twins and shared operational intelligence to coordinate decisions across increasingly complex, multi-vendor environments.
Orchestrating intelligence across the autonomous network
Orchestrating intelligence across the autonomous network
- Extending autonomous decision-making beyond individual network domains
- Enabling multiple AI agents to collaborate using consistent data, policies and operational objectives
- Deploying cross-domain operational workflows to reduce duplication, accelerate fault resolution and improve service resilience
- Drawing on TM Forum standards and open architectures to enable multi-vendor interoperability and reduce management complexity
- Using agentic AI, intent orchestration and digital twins to enable intelligent coordination across multiple operational domains
- How policy-driven automation and real-time operational context allow AI agents to collaborate across vendor boundaries
- Using shared knowledge models and interoperable architectures to support consistent decision-making across OSS, cloud platforms and network infrastructure
- Using digital twins to model complex network behavior, validate operational changes and identify service impacts before they occur in the live environment
- How high-fidelity digital twins enable faster testing, safer software upgrades and more accurate capacity planning while significantly reducing operational risk
- Using real-time synchronization between physical and virtual networks to support predictive operations, continuous optimization and autonomous change management
- Detailing measurable operational improvements through simulation-driven operations, including reduced change failures, faster deployment cycles and improved network resilience
- How will specialized AI agents collaborate across network planning, assurance, optimization and service management without creating new operational silos?
- What standards and protocols are needed to enable trusted agent-to-agent communication across multi-vendor telecom environments?
- Where should operators begin deploying autonomous agents today, and which use cases remain too complex for collaborative AI?
- As agent ecosystems mature, how will human operators transition from directing individual workflows to supervising teams of autonomous digital workers?
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