AUTOLINX · SOLUTIONS NetOps use cases · pick the one nearest your team Carrier scale →
AUTOLINX · NETOPS USE CASES

Five places AutoLinx earns its keep.

NetOps teams ship AutoLinx into production to fix specific problems: page fatigue, change-window risk, audit panic, onboarding bottlenecks, and carrier-scale operations. Each section below maps to a measurable outcome in customer environments.

01 · Triage 02 · Change 03 · Compliance 04 · Onboarding 05 · Carrier scale
01 · Triage

Cut MTTR — before the on-call even wakes.

When an alert fires, the triage agent reads the relevant signals, forms a hypothesis, and proposes a fix — all before paging anyone. Engineers wake to a proposal with evidence, not an alert to investigate.

  • → Median diagnose time under 60 seconds
  • → Root cause reaches optic-level findings, not surface symptoms
  • → Proposals include diff, evidence, blast radius, rollback path
  • → Engineer reviews and approves; most nights, they go back to sleep
↓ 85%Median MTTR · benchmarked at tier-1 Thai telco · validated across 3 anchor accounts
< 60s
Median diagnose
94%
First-proposal accepted
02 · Change management

Pre-flight every change — across vendors.

Engineers describe a change in intent. AutoLinx generates vendor-specific config, simulates blast radius, builds a tested rollback, and stages it for approval. After push, the agent watches for drift from expected state and offers to revert.

  • → One intent grammar across 10+ vendors
  • → Blast radius simulated before push
  • → Every change carries a tested rollback
  • → Auto-rollback when post-push health drops
↓ 64%Change failure rate · year-over-year
100%
Of changes carry rollback
10+
Vendors normalized
03 · Compliance & audit

Continuous compliance, not quarterly panics.

Every diagnosis, change, and approval lands in a signed, append-only audit ledger. Compliance teams pull evidence packs directly — no scrambling before audit week. The ledger is vendor-neutral and replayable.

  • → SOC 2, ISO 27001, PCI evidence packs auto-generated
  • → Replay any decision — packets, reasoning, context
  • → Continuous drift detection against intent
  • → Append-only ledger, signed entries, vendor-neutral export
100%Of actions captured in audit ledger
3 days
From audit request to evidence pack
SOC 2 / ISO / PCI
Mapped controls
04 · Onboarding

From rack to running — without a senior on site.

Field tech racks the device, scans a QR, and calls in. AutoLinx detects the new endpoint, infers its role from neighbors and topology, generates baseline config, and proposes it for approval. Senior engineers stay at headquarters; new sites come online in hours, not days.

  • → Role inference from neighbors, LLDP, BGP signature
  • → Generated config matches your intent rules
  • → Field tech sees status; senior engineer approves remotely
  • → Works on Day-0 (zero-touch) or Day-1 (existing site)
4 hrsFrom rack arrival to in-production
↓ 80%
Senior engineer site travel
Day 0/1
Both modes supported
05 · Carrier scale

Operate 10× more circuits — without 10× more engineers.

Carrier and ISP networks operate at scale that doesn't fit a per-incident workflow. AutoLinx applies the same agentic pattern across thousands of devices — fleet-level diagnosis, mass-change orchestration, and continuous compliance — with HITL approval where it matters and auto-resolution where it doesn't.

  • → Fleet-level pattern detection across thousands of devices
  • → Parallel change execution with per-region rollout
  • → Auto-resolution for low-risk classes, HITL for the rest
  • → Pairs with FabricLinx for wire-rate ingest at carrier throughput
50,000+Devices in single carrier-grade deployment
~4
Engineers per 10,000 devices
100G+
With FabricLinx Carrier
Looking for SecOps use cases?

Security agents are now SecureLinx.

Lateral movement detection, policy drift across firewall vendors, and packet-level forensics are part of SecureLinx — a separate product, opening early access Q3 2026. AutoLinx is purely NetOps. If you run both, they share one audit ledger.

Read about SecureLinx →

Pick the use case nearest your team.

A 4-week pilot on 100 of your devices — focused on the use case that matters most. Solutions architect for setup, measurable outcome by week four.