Case Study
Global Manufacturer
Smarter Support at Scale: Intelligent Ops for a Global Manufacturer
automotive manufacturing

Turning Reactive IT into Predictive Power

For a leading global manufacturer, IT operations were always playing catch-up. Incidents were growing in frequency, response times were inconsistent, and visibility into system health was fragmented. Despite heavy investments in tooling, the lack of intelligence and automation meant ops teams were stuck in a cycle of reactive support.

The company needed a way to shift gears from firefighting to foresight.

That’s when they engaged AHEAD India to build and run a truly intelligent operations model.

The Challenge: Manual Processes, Mounting Pressure

The client’s global IT infrastructure spanned hybrid environments – legacy systems, cloud workloads, and mission-critical applications. But operational visibility was siloed across tools and teams.

Their biggest challenges included:

  • High volume of critical incidents with no early warning system
  • Lack of centralized monitoring and trend analytics
  • Long MTTR due to manual triage and resolution workflows
  • Difficulty in linking IT performance to business outcomes

Without a smarter, unified approach, achieving reliability at scale felt out of reach.

AHEAD’s Approach: Bringing Intelligence to IT Operations

AHEAD India introduced an Intelligent Operations framework centered on automation, analytics, and always-on engineering with 24×7 coverage. Our team leverages a centralized monitoring ecosystem powered by AIOps, delivering predictive alerts, anomaly detection, and proactive escalation workflows using ServiceNow ITSM, ITOM, and Event Management capabilities to automate ticket creation and escalation workflows and uses Dynatrace and Datadog to improve observability capabilities.

AHEAD India deployed an Intelligent Operations framework that combines automation, analytics, and round‑the‑clock engineering support. We established a centralized, AIOps‑driven monitoring platform that issues predictive alerts, detects anomalies, and launches proactive escalations. ServiceNow ITSM, ITOM, and Event Management automate ticket generation and routing, while Dynatrace and Datadog deepen end‑to‑end observability.

We integrated seamlessly into the client’s existing systems while modernizing how they detect, diagnose, and resolve issues faster and with fewer false positives.

Key highlights of the solution included:

  • Unified monitoring across infrastructure, apps, and platforms
  • AI-driven pattern recognition to prevent incidents before impact
  • Automation-led remediation for common priority incidents
  • Escalation workflows aligned to SLA tiers and business risk
  • KPI dashboards mapping ops outcomes to business impact

Results: From Downtime to Data-Driven Resilience

Within the first quarter of deployment, the client saw clear results:

  • 2x reduction in critical incidents
  • 20% improvement in MTTR
  • 90%+ SLA adherence, up from inconsistent benchmarks
  • Improved stakeholder confidence in IT ops performance

The organization moved from reactive to insight-driven – able to spot trends, contain risks, and continuously improve.

What’s Next: Self-Healing Systems and Business-Centric Ops

Now that the foundation is in place, AHEAD India is helping the client deploy self-healing scripts and expand intelligent observability across business units. By aligning ops KPIs with business objectives, the goal is clear: make IT a driver of strategic value.

Together, we’re proving that great operations don’t just support the business – they power what’s possible.

Top Takeaways

  1. 2x reduction in critical incidents
  2. 20% lower MTTR across all priority levels
  3. 90%+ SLA adherence achieved within the first quarter