About The Client

The client is a multinational organization delivering world-class network and voice services across global markets. With a strong commitment to operational excellence, the organization prioritizes effective governance models, streamlined cross-functional workflows, high service reliability, and seamless collaboration across infrastructure, network, and operations teams.

As their cloud footprint expanded to support digital growth, maintaining consistency, visibility, and cost control became increasingly complex.

Business Challenges

As the client’s hybrid cloud environment scaled, they encountered significant operational challenges:

  • The organization faced significant operational complexity across multiple cloud and infrastructure environments.

  • Incident management was largely reactive, with teams responding to issues after they occurred rather than preventing them proactively.

  • There was noticeable performance variability across workloads and systems, impacting consistency and reliability.

  • Resource utilization was inefficient, resulting in underused and overprovisioned infrastructure assets.

  • Cloud operational costs continued to escalate due to limited optimization controls and governance gaps.

The need was to improve predictability, reliability, and efficiency.

Saksoft’s Solutions:

Saksoft designed and implemented an AI-driven Cloud & Infrastructure Operations framework tailored to the client’s ecosystem supported by:

  • Intelligent event correlation

  • Predictive anomaly detection

  • Automation-first remediation workflows

  • Reusable operational playbooks and

  • Unified Command Center (UCC)

Intelligence-Driven Operations

  • AI/ML-led operational insights to enable proactive and data-driven decision-making.

  • Automated incident prioritization was implemented to ensure faster and more accurate response to critical issues.

  • Smart capacity and performance optimization mechanisms were deployed to enhance workload efficiency and stability.

  • Cross-platform observability was established to provide unified visibility across infrastructure layers.

  • Continuous learning mechanisms were embedded to reduce dependency on manual interventions and improve operational effectiveness over time.

Impact Delivered:

The client achieved measurable and sustainable improvements that include:

  • 48% reduction in major incidents

  • 60% improvement in MTTR

  • Enhanced infrastructure stability

  • Improved workload performance

  • Optimized cloud utilization

  • 30% reduction in operational overhead

The AI-driven framework enabled faster stabilization while strengthening operational governance.

Strategic Business Impact

Beyond operational metrics, the transformation delivered long-term strategic value:

  • Predictable infrastructure operations

  • Improved service reliability

  • Reduced cost leakage and better budget control

  • Increased operational resilience

  • Stronger cross-team collaboration

The organization transitioned from reactive operations to intelligent, insight-driven infrastructure management

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