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Reducing Alert Noise & MTTR for a Major Telecom: Powering Efficiency Through AIOps 

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AI Ops Telecom + Media

Scaling Intelligent IT Operations with AI-Powered Operations (AIOps)

As telecom organizations scale their digital services, the complexity of their IT environments continues to grow. Infrastructure now spans cloud, on-prem, and edge systems—generating massive volumes of telemetry data in real time. Traditional monitoring and incident response workflows can’t keep up. The result is alert fatigue, inconsistent visibility, and slow response times—putting service reliability, team efficiency, and customer satisfaction at risk.

That was the challenge facing a major U.S. telecom provider supporting thousands of digital services. With millions of logs, metrics, and events generated daily across a hybrid infrastructure, operations teams were stretched thin—managing alerts manually and reacting to issues after the fact. To address this, the organization partnered with Aditi to implement an intelligent AIOps framework that could shift them from reactive to autonomous operations.

 

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The Challenge

Overwhelmed Teams, Disconnected Systems & Manual Incident Response

The client’s operations teams were overwhelmed by excessive alert noise, with high volumes of redundant and low-priority alerts burying critical issues and delaying response during major incidents. This challenge was compounded by siloed monitoring tools—logs, metrics, and traces were spread across multiple platforms, forcing engineers to manually switch between systems and limiting end-to-end visibility.

Without a unified observability layer, root cause analysis became heavily manual, requiring teams to comb through unstructured telemetry and slowing down their ability to identify and resolve cascading failures. Most incidents were detected only after user impact had already occurred, reinforcing a reactive response model that left little room for prevention.

As services scaled and infrastructure grew more complex, the lack of automation and unified intelligence exposed the limits of their manual triage model—straining team capacity and increasing the risk of unresolved or recurring incidents.

 

AI-Powered Operations (AI Ops)

Turning Reactive IT into An Automated Performance Engine

Automate incident resolution across your existing tech stack. Correlate alerts, eliminate noise and auto-resolve repeat incidents with AI Ops. 

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The Solution

AI OPS for Smarter Incident Response

To move beyond reactive workflows, Aditi deployed an agentic AIOps framework designed for scale, speed, and proactive resolution. This solution brought together AI, automation and observability, enabling more intelligent, autonomous decision-making across hybrid environments.

  • AI-Powered Alert Correlation:
    Deployed intelligent agents to interpret system telemetry, correlate symptoms to root causes, and generate real-time diagnostic summaries with recommended actions.

  • Autonomous Root Cause Detection
    Integrated logs, metrics, and traces from Datadog, ELK, Prometheus, and CloudWatch into a centralized view—streamlining visibility and accelerating incident response.

  • Predictive Anomaly Detection
    Established machine learning baselines across systems to detect drift and anomalies early, triggering automated investigations before user impact.

  • CI/CD-Powered Automation
    Used Terraform, Helm, and GitLab pipelines to deliver secure, repeatable automation across environments—reducing drift and increasing deployment velocity.

  • Service-Aware Routing & RCA Summaries
    Enabled automated alerts and rich RCA summaries to route directly into Slack and ServiceNow, improving communication and speeding team coordination.

The Outcome

Resilient & Efficient Operations

With the AIOps framework in place, the global telecom client achieved measurable gains in incident response speed, service reliability, and operational efficiency, enabling teams to scale performance without increasing manual overhead:

  • 93% Reduction in Alert Volume:
    Automated correlation and suppression logic eliminated redundant and low-priority alerts, reducing overall noise by 93% and enabling engineers to focus solely on critical issues requiring action.

  • 60% Faster MTTR:
    Agent-powered diagnostics and guided remediation accelerated triage and resolution times, cutting mean time to resolution (MTTR) from hours to minutes while minimizing downtime risk.

  • Improved SLA Performance:
    Proactive detection and auto-resolution workflows helped the team meet or exceed SLAs consistently, mitigating outages and improving reliability across key service lines.

  • 20% Lift in Operational Capacity:
    By removing manual investigation bottlenecks, operations teams regained time to focus on reliability engineering, resulting in a 20% boost in overall capacity and throughput.

  • Scalable Across 100+ Applications:
    The agentic AIOps solution now supports over 100 business-critical applications, delivering autonomous incident response at scale without the need to grow headcount.

The Aditi Advantage:

Strategize with Our Leading Insights

Behind every transformation is a story. Explore the strategies, breakthroughs, and lessons driving digital engineering success — from AI-powered automation to cloud modernization and more.

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Explore Our AI Ops Solution Package Today

Aditi’s AI Ops Solution Package is purpose-built to help operations teams modernize incident response, reduce MTTR, and scale with confidence. From intelligent alert correlation and predictive anomaly detection to agent-based root cause analysis and automated remediation, our platform approach delivers speed, resilience, and operational clarity.

Ready to explore how this can transform your environment? Let’s talk.

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Aditi is a leading digital engineering services company. We partner with established and emerging enterprises by leveraging borderless talent across three continents to achieve transformative outcomes that will reshape their trajectory. We lead and support our clients’ efforts to design, build, and operate the products, systems, and processes required to deliver impact by leveraging deep insights, practical knowledge, and human spirit.