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Automating Network Provisioning for Faster Service Delivery

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A large telecom operator expanding into fiber broadband and 5G services faced long provisioning cycles. Customers waited days or weeks to get new services activated, leading to high churn and poor customer experience.

The Challenge: Slow and Complex Provisioning

In the rapidly evolving telecom landscape, service activation speed and accuracy have become critical to customer satisfaction and competitive advantage. However, the organization’s front-line provisioning processes were heavily dependent on manual operations, fragmented systems, and repetitive validations. This not only slowed down delivery but also created significant operational bottlenecks across OSS/BSS ecosystems.

Key Pain Points

  • Fragmented Provisioning Processes: Service provisioning was handled manually across multiple OSS/BSS systems, leading to inefficiencies, redundant data entry, and a lack of visibility across workflows.

  • High Error Rates: Manual inputs and disconnected systems often resulted in activation failures, mismatched configurations, and frequent rework.

  • Delayed Service Delivery: Standard broadband activations required 5–10 days, while enterprise service provisioning stretched to multiple weeks, impacting customer onboarding timelines.

  • Customer Dissatisfaction: Errors and delays directly affected the customer experience, leading to lost revenue opportunities and weakened brand trust.

  • Operational Inefficiencies: Repeated interventions, escalations, and manual follow-ups increased operational costs and reduced workforce productivity.

  • Competitive Pressure: As competitors adopted faster, more automated provisioning models, speed of activation became a defining differentiator, pressing the need for transformation.

The Solution: AI-Driven Network Provisioning Automation

To address these challenges, Amantra implemented end-to-end intelligent automation for service provisioning across mobile, broadband, and enterprise services seamlessly integrating with the client’s CRM, OSS, and BSS layers. The solution transformed a fragmented, error-prone process into a unified, self-governing provisioning ecosystem.

Key Solution Components

  • Automated Order-to-Activation Workflows:
    Fully automated workflows connected CRM, OSS, and BSS systems — orchestrating order validation, resource allocation, and activation without manual intervention.

  • Intelligent Validation Checks:
    Pre-provisioning AI checks ensured order accuracy, data completeness, and dependency verification, minimizing activation errors.

  • AI-Based Resource Allocation:
    Smart algorithms dynamically allocated bandwidth, IP addresses, and network ports, optimizing resource utilization across regions.

  • Self-Healing Mechanisms:
    Automated scripts continuously monitored provisioning jobs, detecting and resolving failures in real time — reducing downtime and escalations.

  • Proactive Customer Notifications:
    Automated alerts kept customers informed at every stage of the provisioning lifecycle, improving transparency and experience.

The Results: Speed, Accuracy, and Scalability

  • 70% faster service activation (days reduced to hours).
  • 90% success rate on first-time provisioning.
  • 40% OPEX savings by eliminating manual interventions.
  • Higher customer satisfaction with faster onboarding.
  • Scalable infrastructure that supported rapid 5G and fiber rollout.
Bottom Line: By automating provisioning with AI, the operator turned service delivery into a competitive advantage, improving both customer experience and operational efficiency.