Reimagining Network Operations with AI and NaaS
Pair AI with Network-as-a-Service and your network starts acting like a teammate. More uptime. Less toil. Predictable costs that scale with the business. That's the promise Operations leaders care about.
Airowire's approach blends AI agents, a self-healing stack, and an outcome-based NaaS model. The goal: faster decisions, fewer escalations, and networks that are simple to run at scale.
"Building networks with a soul" - what it looks like in practice
Every business now runs on its network. So the baseline is clear: resilient, secure, and scalable. The twist is simplicity-so people can actually use it without a manual and a prayer.
"With a soul" means the network is built around human needs. Clear SLOs, quick feedback, and automation that fixes issues before users feel the pain.
From traditional NOC to Day2.Work
Classic NOCs stand on two pillars: tools that alert, and engineers who interpret and repair. That model struggles as environments expand across sites, clouds, and vendors.
Day2.Work upgrades both pillars with AI agents. The monitoring layer is strengthened by LinkEye, a self-healing system. The NOC becomes AI-augmented, where engineers work with agents that surface context, propose actions, and learn from outcomes.
- Signal quality: LinkEye reduces noise, correlates symptoms, and flags likely root cause.
- Self-heal: Automates safe, reversible fixes for known patterns.
- Human-in-the-loop: Engineers approve or adjust actions with full context.
- Knowledge compounding: Every resolved incident trains future responses.
Why human insight still matters
AI spots patterns. People understand impact. That mix keeps operations grounded in real user needs.
- Context: Business events, customer commitments, and change windows still guide action.
- Edge cases: Novel failures benefit from experience and empathy.
- Trust: Humans remain accountable for prioritization, safety, and communication.
- Learning loop: Human feedback sharpens AI recommendations over time.
NaaS as the scaling model for multi-site growth
As organizations expand from one HQ to many branches, Capex-heavy rollouts become a drag. NaaS converts Capex to Opex, so you subscribe to outcomes and keep cash flexible for growth.
Instead of buying products and hoping they fit, Airowire delivers an outcome-based service. The discussion shifts from "which box" to "which result"-performance targets, uptime, security posture, and rollout speed.
- Subscription model: Predictable monthly cost aligned to sites and usage.
- Faster rollout: Standardized builds and automation cut time-to-service.
- Continuous improvement: Updates, policy changes, and optimizations included.
Proof: MTTR cut from 30 minutes to 4
For a retail chain, incident resolution averaged 30 minutes. After applying the AI agentic approach with LinkEye and human oversight, MTTR dropped to 4 minutes-an 86% reduction.
That shift protects revenue at the edge. If you handle 200 incidents a month, that's roughly 86 hours returned to operations and front-line teams, with fewer customer impacts.
How to pilot this in 30 days
- Pick 2-3 branches or a distinct segment (e.g., POS + Wi-Fi + WAN).
- Define SLOs: latency, uptime, packet loss, and a clear MTTR target.
- Instrument: Unified telemetry across network devices, apps, and tickets.
- Automate runbooks: Safe, reversible actions for the top 10 recurring incidents.
- Human-in-the-loop guardrails: Approval thresholds and rollback plans.
- Review weekly: Trend MTTR, false positives, and auto-remediation success rate.
- Decide scale criteria: If MTTR and noise drop by X%, expand to the next 10 sites.
What Airowire is building next
The stack started with wireless and network access control. It now spans security and cloud, with enterprise application visibility and private 5G entering the mix. The direction is clear: one operations model across sites, clouds, and radio networks.
Key metrics and resources for Ops leaders
- Track MTTR, detection-to-diagnosis time, auto-remediation rate, change failure rate, and user-impact minutes.
- Clarify who owns incident communication and when AI actions require approval.
Helpful references:
Upskill your team for AI-augmented operations
If your team needs a fast, practical path into automation and agent workflows for Ops, explore this program: AI Automation Certification.
Bottom line: AI agents cut noise and speed decisions. NaaS turns networks into a service that grows with you. Put both to work, keep humans in control, and measure what matters-especially MTTR and user impact.
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