Run IT Operations at Twice the Scale With the Same Team
AIOps and AI-powered IT operations for Southern California organizations — automate network monitoring, anomaly detection, root-cause analysis, and incident response using the AI capabilities already built into your network platforms (Meraki, Juniper Mist, Aruba Central, Fortinet) plus standalone AIOps platforms where the scale justifies it. WCC's approach: start with what you already own. Activate the AI features sitting unused in your existing stack before recommending new platforms.
What Is AIOps?
AIOps (Artificial Intelligence for IT Operations) applies machine learning to IT operations work that has outgrown what threshold-based monitoring can handle — particularly anomaly detection, alert correlation, root-cause analysis, and predictive maintenance. The term was coined by Gartner around 2017. Today the category includes built-in AI features in network platforms (Cisco Meraki Insight, Juniper Mist AI, Aruba Central AI, FortiAIOps) and standalone AIOps platforms (Datadog AIOps, ServiceNow AIOps, Splunk ITSI, Dynatrace). For most SoCal mid-market organizations, the path to AIOps starts with activating the AI features already built into existing network platforms — not with buying new platforms.
What AIOps Actually Does — In Order of Maturity
Five capability areas, ranked by how reliable they are today. WCC implementations typically start with the first three because they deliver fast value with low risk. The fourth and fifth come later as confidence builds and the data pipeline matures.
Anomaly Detection
Identifies when network or application behavior deviates from baseline. Catches issues threshold-based alerting misses.
Alert Correlation
Collapses thousands of raw alerts into a handful of meaningful incidents. Eliminates alert fatigue and noise.
Root-Cause Analysis
When something breaks, narrows the search to the most likely cause based on dependency graphs and event sequences.
Predictive Maintenance
Identifies gear or links likely to fail before they fail. Especially useful for aging infrastructure and capacity planning.
Automated Remediation
Closed-loop fixing of recognized issues. Powerful but requires careful guardrails. Implement last, after confidence is established.
The AIOps Platforms WCC Implements and Manages
WCC focuses on the AI capabilities built into the network platforms we already deploy. For enterprise customers needing standalone AIOps platforms, we partner with implementation specialists rather than competing with established AIOps practices.
Cisco Meraki Insight & Anomaly Detection
Built into the Meraki dashboard. AI-powered anomaly detection across wireless, switching, and security appliances. Auto-generated baselines, application performance scoring, and end-to-end network insights.
- Anomaly detection on Meraki MR, MS, MX
- Application-aware performance monitoring
- SD-WAN performance insights
- Auto-generated network baselines
Juniper Mist AI & Marvis
The most mature AI-driven wireless platform. Marvis virtual assistant uses natural-language queries to surface issues. AI-driven RF optimization, packet capture, and client troubleshooting.
- Marvis NLP-powered diagnostics
- AI-driven RF optimization
- Client SLE (service level expectations)
- Automated packet capture on issues
Aruba Central AI
AI-powered RF tuning, network analytics, and anomaly detection across Aruba wireless and switching. Strong fit for higher ed and healthcare environments where Aruba is the wireless standard.
- AI-driven RF optimization
- Client experience scoring
- Anomaly detection across CX switches
- Network-wide analytics dashboards
FortiAIOps
AI capabilities across the Fortinet Security Fabric — FortiGate, FortiSwitch, FortiAP, FortiSASE. Shared threat context and correlation across all fabric components.
- Cross-fabric event correlation
- FortiGuard threat intelligence enrichment
- Anomaly detection on security events
- Automated playbooks (FortiSOAR integration)
Datadog AIOps
For enterprise organizations with multi-cloud, application-heavy environments where standalone AIOps is justified. WCC partners with Datadog implementation specialists rather than competing with established practices.
- Multi-cloud anomaly detection
- Application performance correlation
- Watchdog automated insights
- Cross-team incident workflows
ServiceNow AIOps
For enterprises already on the ServiceNow platform who want ITSM and AIOps unified. WCC partners with ServiceNow implementation specialists for these engagements.
- ITSM-integrated incident workflows
- Predictive intelligence on tickets
- Change risk assessment
- Service mapping automation
The WCC Activation-First Implementation Process
Most mid-market organizations have substantial AI capability in their existing network platforms that's never been fully activated or tuned. Our approach: turn on what you already own before recommending new platforms.
Four-Phase Implementation
Inventory
Audit the AI capabilities built into your existing network platforms. Most organizations are surprised how much they already own.
Activate & Tune
Turn on the AI features, set appropriate thresholds, and tune them to your environment over 30-60 days. This is where most ROI comes from.
Integrate
Wire AIOps outputs into your existing incident management workflow (PagerDuty, Slack, Teams, ServiceNow). Make it part of operations.
Augment
Only after the foundation is solid do we recommend standalone AIOps platforms — and only if scale and complexity justify the additional cost.
What AIOps Won't Do
AIOps vendors make a lot of claims. Some are real, some are aspirational. Here's the honest version so your team can scope expectations correctly.
AIOps Is an Amplifier, Not a Replacement
AIOps does not eliminate IT staff. It eliminates certain types of work — primarily the manual correlation, threshold tuning, and noise filtering that consumes much of an IT operations team's time. Humans remain essential for incident response decisions, change management, business context, and judgment about when "unusual" means "problem" versus "expected anomaly." What AIOps actually does for staffing: lets a 5-person IT team operate at the scale a 10-person team would handle without AIOps.
AIOps is not magic. The platforms learn from your data, and the quality of insights depends on the quality of telemetry. Organizations with mature monitoring (clean device inventory, consistent logging, accurate dependency mapping) get fast value. Organizations with inconsistent monitoring need to fix the data foundation first — otherwise the AI learns from bad data and generates bad insights.
Automated remediation requires guardrails. Closed-loop automated fixes are the most-hyped AIOps capability and the riskiest to implement. WCC recommends starting with detection and correlation, building confidence in the AI's recommendations over 3-6 months, then carefully scoping which categories of issues are safe to auto-remediate. Skipping that maturity curve causes incidents at scale.
One last clarification: AIOps and "AI" are increasingly marketed as synonyms. They're not. AIOps is a specific application of ML to IT operations, with well-defined use cases and mature platforms. Generative AI (large language models) is a different category that's still finding its footing in IT operations — useful for chat-based diagnostics (Marvis, ChatGPT for IT) but not yet for autonomous remediation. WCC keeps these separate to avoid the kind of vendor hand-waving that makes IT directors cynical.
AIOps and AI-Powered IT Operations — FAQ
The questions IT directors and CIOs ask when evaluating AIOps for Southern California network operations.
What is AIOps?
What can AIOps actually do?
Is AIOps worth it for mid-market organizations?
How is AIOps different from regular network monitoring?
Which AIOps platforms does WCC implement?
Does AIOps eliminate IT staff?
How does WCC approach AIOps implementation?
Does WCC serve organizations across Southern California?
Schedule an AIOps Activation Audit
Find out which AI capabilities you already own (and aren't using) before buying new platforms. The audit reviews your existing Meraki, Mist, Aruba, or Fortinet AI features, identifies activation opportunities, and gives you a 90-day implementation plan. Senior engineer, written report within 5 business days, no obligation.
Call 909-364-9906 or schedule an audit.