Network Operations Centers handle alarm storms with runbooks that age out of memory. This playbook turns OSS/BSS endpoints into Custom HTTP tools, indexes runbooks into a vector store, and lets a triage network recommend the right remediation per alarm signature.
OSS/BSS alarms arrive at thousands per minute. Engineers context-switch between alarm consoles, ticketing tools, and wikis of runbooks. The remediation knowledge exists — it's the discovery that breaks under load.
The triage network maps each alarm to the most relevant runbook, calls OSS APIs to gather context, and proposes a remediation playbook with a confidence score. Engineers approve or override.
Topology lookup, CMDB query, ticket create — each becomes a typed tool VDF agents can call.
Markdown, Confluence, Word — VDF Data ingests them all. Per-region indexes scope retrieval.
The correlator groups alarms by signature, the retriever finds matching runbooks, the planner emits a remediation with risk and ETA.
Intent template triage-alarm binds correlator → retriever → planner. SEEMR routes by alarm severity.
Live Execution Monitoring exposes per-alarm flows. Energy tracking shows the cost of each recommendation.

MTTR on known alarm signatures.
engineer throughput during alarm storms.
recommendations carry runbook citations and topology evidence.
P1 alarms route to your most capable private model. P3 maintenance signals route to small models. SEEMR learns the boundary as your network evolves.
Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.