Imagine if degrading network performance—not just bad code—disrupted your live stream during a high-profile event. Customers start flooding support lines. Social media lights up. Your NOC teams scramble to identify the root cause amid fragmented systems. The outage impacts not only your broadcast, but also subscriber logins, ad delivery, and mobile apps. Advertisers want refunds. Executives ask, “Why didn’t we see this coming?”
This isn’t hypothetical. For communications, media, and information services (CMI) providers—like telecom operators, cable networks, and streaming giants—this is the new reality. Infrastructure is more distributed, services are more interconnected, and network performance issues remain the leading cause of IT service outages, according to Uptime Institute’s 2024 Resiliency Survey. In fact, nearly a third of outages stem from network connectivity issues.
Real-world scenario: What went wrong?
Imagine a large telecom and content delivery provider with 50 million subscribers across the U.S., offering broadband, wireless, and streaming services. On the night of a major live sports event, such as a championship fight, user access suddenly collapses—leaving viewers frustrated and support teams scrambling to respond.
- A spike in user traffic exposed a latency issue caused by degraded performance across edge caches and core network paths.
- The Command Center was hit with a flood of alerts across CDN, edge, and authentication layers.
- Level 2 and Level 3 teams had to comb through logs and telemetry data across multiple systems to identify the root cause.
- It took 90 minutes to isolate and resolve the problem. By then, customers had churned, ad slots were lost, and the brand took a reputational hit.
Why reactive operations no longer work
Modern IT environments are too complex
The deeper issue? Reactive resolution models can’t keep up with today’s 24/7 subscriber expectations. When outages span hybrid-cloud environments and millions of customer sessions, you need a system that can self-govern, self-monitor, and self-heal.
That’s where Digitate’s ignio™ platform comes in.
How ignio delivers autonomous operations
ignio is built on an agentic AI architecture. It deploys autonomous AI agents—each trained to handle specialized tasks such as anomaly detection, root cause analysis, and autonomous remediation. Instead of flooding ops teams with fragmented alerts, ignio’s agents collaborate to understand context, connect dependencies, and resolve issues in real time.
ignio™ in action: What could have been different
Had ignio been in place at then telecom and content delivery provider, here’s how things would have unfolded:
- The AI Agent for IT Event Management would’ve detected anomalies before user experience degraded, suppressed false positives, and grouped correlated alerts from affected components.
- The AI Agent for Incident Resolution would’ve mapped all upstream and downstream influencers across the CDN and network path, pinpointed the fault, and executed the appropriate automation for remediation.
- The SRE team would’ve received a single, contextual update instead of dozens of siloed alerts.
- AI Assist for CIO would’ve provided a real-time dashboard showing how customer KPIs and business services were impacted—closing the loop between IT and business.
Benefits for CMI providers
What makes ignio different is its unified observability, AI-powered insights, and closed-loop automation. It’s pre-trained with over 10,000 automations and integrates seamlessly with 100+ tools across observability, ITSM, APM, CMDB, and cloud environments. With its Code Accelerator module, teams can even generate automation scripts from natural language or translate code between formats—helping to eliminate dev bottlenecks.
The outcomes are clear:
- 90% faster incident resolution
- ~45% automation index across core operations
- Lower noise, higher uptime, and happier customers
The future: Self-healing IT for CMI leaders
For CMI leaders navigating the shift to always-on digital services, autonomous operations are no longer optional—they’re mission-critical. Agentic AI like ignio™ is how leading providers are staying ahead of complexity, minimizing risk, and delivering seamless user experiences.
Ready to modernize your ops?
Let’s talk if you’re ready to turn fragmented infrastructure into proactive, self-healing systems.
