AI-Native Network Capacity Management
summary
AI agents replace the manual step that turns messy design artifacts into device-ready config by parsing text, diagrams and tables and emitting a structured RPL (routing policy language) file that a policy compiler consumes. Focused on configuration and validation, the pipeline automates extraction of routing intent, feeds the existing automation stack, and reduces humans to approvers. AI agents extract routing intent and RPL generation automated; the approach is deployed and reported to work end-to-end.
AI-written summary · about
chapters (7)
- 0:00AI-native network delivery
- 1:30Design to real networks
- 3:19Modeling and abstraction limits
- 5:25Manual delivery inputs
- 7:10AI routing policy generation
- 9:22Human role in AI workflows
- 10:06Conclusion
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